Translate this page into:
Trends of the publications of platelet-rich plasma use in osteoarthritis knee – A PubMed and Scopus bibliometric analysis
*Corresponding author: Sandeep Patel, Department of Orthopaedics, Postgraduate Institute of Medical Education and Research, Chandigarh, India. sandeepdrpatelortho@gmail.com
-
Received: ,
Accepted: ,
How to cite this article: Patel S, Kumar V, Kumar R, Sharma S, Sharma R, Kaur R, et al. Trends of the publications of platelet-rich plasma use in osteoarthritis knee – A PubMed and Scopus bibliometric analysis. J Arthrosc Surg Sports Med 2022;3:101-10.
Abstract
Objectives:
Bibliometrics is being used to assess the quantity and quality of scientific research output. This study is aimed to evaluate the worldwide research productivity in the field of platelet-rich plasma (PRP) use in osteoarthritis (OA) knee.
Materials and Methods:
Scopus and PubMed databases were searched to identify published articles on PRP and OA knee. The contributions of authors, countries, institutions, and collaborations across the world were analyzed. The top journals publishing in this field were analyzed for the citations and other parameters.
Results:
Total publications on this topic were 1309 in Scopus and 921 in PubMed, and the yearly average of publication numbers has seen a steady increase over the past 10 years. Top journal in terms of number of articles and citations was Arthroscopy and AJSM, respectively. Osteoarthritis and Cartilage published the maximum preclinical studies. Kon E emerges to be the leading author in both the databases. Original clinical research articles (15.31% and 22.15%) are less compared to review articles (34.6% and 28.3%) in both PubMed and Scopus, respectively. The largest number of articles in this field was from the USA and six of the top 10 productive universities were also from the USA.
Conclusion:
There has been a rapid increase in the scientific research productivity in the past 10 years and this topic has gained attention in the recent past. There is a need for more clinical trials in this field.
Keywords
Osteoporosis
Platelet-rich plasma
Trends
cartilage
INTRODUCTION
Platelet-rich plasma (PRP) is a hot topic among orthopedic surgeons and has emerged over the past decade as a potential treatment options for various orthopedic conditions.[1,2] The positive role of PRP in favoring cartilage anabolism, decreasing catabolism, and other anti-inflammatory effect on the synovium and cartilage has been demonstrated in various in vivo and in vitro studies;[3,4] and this pre-clinical research has translated to clinical research over the past decade and various randomized controlled trials (RCTs) and meta-analysis have positively supported the use in early osteoarthritis (OA) knee.[5,6] A large number of research studies related to PRP and OA have been published in the past two decades due to the huge clinical demand for such treatments. To date, there has not been any bibliometric analysis on PRP use in OA knee.
The aim of the present study was to perform bibliometric analysis of research articles published in this field and analyze the journals, authors, collaboration network, and countries of research involved in both pre-clinical studies and clinical studies. We used PubMed and Scopus to complement each other to fill gaps in the information. This will enable in choosing the right journal for the article type, identify the authors involved in this research, enable to analyze the number and type of each research, and hence better summarize the trends in publications pertaining to PRP use in OA knee.
MATERIALS AND METHODS
Data extraction
We have used PubMed and Scopus databases for the main investigation of our study for the timeframe 1975–2020. The methods and scientific processes for the distribution of information are very similar within these databases. We have looked for the terms related to PRP in the title, abstract, or keywords to extract the relevant publications. The following query was designed for data extraction [Table 1].
Query | Study type | PubMed | Scopus | No. of articles PubMed | No. of articles Scopus |
---|---|---|---|---|---|
Base_query | - | ((platelet-rich plasma) OR (PRP)) OR (platelet growth factors)) AND ((((osteoarthritis) OR (osteoarthrosis)) OR (degenerative joint disease)) OR (degenerative chondropathy)) | TITLE-ABS-KEY (platelet AND rich AND plasma) OR TITLE-ABS-KEY (prp) OR TITLE-ABS-KEY (platelet AND growth AND factors))) AND ((TITLE-ABS-KEY (osteoarthritis) OR TITLE-ABS-KEY (osteoarthrosis) OR TITLE-ABS-KEY (degenerative AND joint AND disease) OR TITLE-ABS-KEY (degenerative AND chondropathy))) | - | - |
<extension> | All | NULL | NULL | 921 | 1309 |
Clinical trials | (Clinical Trial[pt] OR Clinical Study[pt] OR Adaptive Clinical Trial[pt] OR Clinical Trial Protocol[pt] OR Clinical Trial, Phase I[pt] OR Clinical Trial, Phase II [pt] OR Clinical Trial, Phase III [pt] OR Clinical Trial, Phase IV [pt] OR Controlled Clinical Trial[pt] OR Pragmatic Clinical Trial[pt]) | (LIMIT-TO (EXACTKEYWORD, “Clinical Article”) OR LIMIT-TO (EXACTKEYWORD, “Major Clinical Study”) OR LIMIT-TO (EXACTKEYWORD, “Clinical Trial”)) | 100 | 278 | |
Randomized controlled trials | Randomized Controlled Trial [PT] | LIMIT-TO (EXACTKEYWORD, “Randomized Controlled Trial (topic)”) OR LIMIT-TO (EXACTKEYWORD, “Randomized Controlled Trial”) | 67 | 222 | |
In vitro studies | “In vitro Techniques” [MeSH] | LIMIT-TO (EXACTKEYWORD, “In vitro Study”) | 50 | 89 | |
Animal studies | ANIMAL [filter] | LIMIT-TO (EXACTKEYWORD, “Animals”) OR LIMIT-TO (EXACTKEYWORD, “Animal”) OR LIMIT-TO (EXACTKEYWORD, “Animal Experiment”) OR LIMIT-TO (EXACTKEYWORD, “Animal Model”) OR LIMIT-TO (EXACTKEYWORD, “Animal Tissue”) OR LIMIT-TO (EXACTKEYWORD, “Animal Cell”) | 159 | 259 | |
Meta-analysis | - | LIMIT-TO (EXACTKEYWORD, “Meta-analysis”) | 33 | 51 | |
Review | - | LIMIT-TO (DOCTYPE, “re”) | 226 | 356 |
Where, subquery is a set of filters or qualifiers which fetch results specific to the study type we intended to analyze. It should be noted that when the <extension> is set to NULL, all the relevant publications related to PRP are extracted irrespective of the study type
The subtype analysis of studies included clinical studies, RCT, animal studies (in vivo), in vitro studies, meta-analysis, and review for PubMed; while clinical studies, animal studies, in vitro study, meta-analysis, review, and RCT for Scopus.
Data analysis
The extracted data were in BibTeX format. It contains information such as documents, authors and their affiliations, journals, keywords, and citations.
We deployed the Bibliometrix-R package for analyzing the extracted data.[7]
Evaluation of research performance in the field of “PRP and Osteoarthritis” was done with the following tools as bibliometric data and indicators
Annual scientific production
Most relevant authors, coauthors, and their collaboration
The journals of greater prominence based on the number of documents published, citations, and h-index
The role of the different countries contributing in this field and their collaboration networks
Conceptual structure to identify subdomains of research.
Journals and authors in various subcategories such as clinical research, animal studies, and review articles.
(Details of the methodology for above six parameters – supplementary materials Part 1).
RESULTS
A total number of 921 documents were retrieved from the PubMed database, whereas for Scopus, it was 1309. The documents were published in 347 and 526 different sources for PubMed and Scopus, respectively. The various document types included the clinical studies, RCT, animal studies, in vitro studies, case reports, meta-analysis, and reviews [Table 2].
Description | PubMed results | Scopus results |
---|---|---|
MAIN INFORMATION ABOUT DATA | ||
Timespan | 1975:2020 | 1975:2020 |
Sources (journals, books, etc.) | 347 | 526 |
Documents | 921 | 1309 |
Average years from publication | 5.76 | 5.96 |
Average citations per documents | NA | 25.79 |
Average citations per year per doc | NA | 3.138 |
References | 1152 | 59272 |
Clinical studies. {n/(%)} | 100/(15.31) | 278/(22.15) |
RCT {n/(%)} | 67/(10.26) | 222/(17.6) |
Animal studies {n/(%)} | 159/(24.34) | 259/(20.6) |
In vitro studies {n/(%)} | 50/(7.6) | 89/(7.09) |
Case reports {n/(%)} | 18/(2.7) | NA |
Meta-analysis {n/(%)} | 33/(5.05) | 51/(4.06) |
Review {n/(%)} | 226/(34.6) | 356/(28.3) |
The highest number of documents was received in the year 2020 for Scopus (n = 214) as well as for PubMed (n = 138). The comparative time evolution of annual scientific production based on the number of documents for PubMed and Scopus is shown in [Figure 1]. It can be seen that the number of articles published before 2001 was <5. It also clearly depicts that the interest has grown among the research community over the past 10 years.
Analysis of authors
The total authors were 3857 and 5059 in PubMed and Scopus data, respectively. The authors of single-authored documents were 33 and 74 and that of multi-authored were 3824 and 4985 for PubMed and Scopus, respectively. The authors per document were 4.18 and 3.86 from PubMed and Scopus, respectively.
Kon E emerges to be the leading author in both the databases with the maximum number of documents (n = 30 for PubMed and n = 29 for Scopus) published in this field. The list is followed by Filardo G, Cole BJ, Sánchez M, and Di Matteo B [Figure 2] for both the databases (Supplementary material Part 2 for analysis of Top-Author’s Production over time).
Authors collaboration network
[Figure 3] shows the coauthorship network of the authors for PubMed and Scopus. The clusters of authors’ collaboration were almost similar for both the databases. The red cluster represents the team of Kon et al. (Italian group of authors), the blue cluster has Sanchez et al. (Spanish authors), the green cluster represents Cole et al. (Chicago, USA), and so on.
Analysis of journals
The most prominent journals in terms of number of documents and influential in terms of H index and citations are tabulated in [Table 3 and in Figure 4].
(Part 3 supplementary materials)
Journal name | Total documents in PubMed | Total documents in Scopus | Total citations in Scopus | H-index |
---|---|---|---|---|
Arthroscopy – Journal of Arthroscopic and Related Surgery | 54 | 50 | 1837 | 18 |
American Journal of Sports Medicine | 46 | 48 | 2366 | 19 |
Osteoarthritis and Cartilage | 25 | 31 | 2143 | 18 |
Knee Surgery, Sports Traumatology, Arthroscopy | 24 | 25 | 1620 | 18 |
BioMed Research International | 15 | 16 | 326 | 9 |
PM&R: The Journal of Injury, Function and Rehabilitation. | 15 | 15 | 274 | 6 |
The Journal of Knee Surgery | 14 | 4 | 98 | 3 |
International Orthopaedics | 13 | 5 | 136 | 4 |
Arthritis and Rheumatology | 12 | 12 | 146 | 3 |
Orthopaedic Journal of Sports Medicine | 11 | 20 | 188 | 6 |
Analysis of relevant countries
Among the top 10 countries publishing on this topic, the USA and China have published the highest number of documents whereas Canada and Germany top the list for collaborative studies as evident by better MCP ratio [Table 4].
Country | Articles | Freq. | SCP | MCP | MCP ratio |
---|---|---|---|---|---|
USA | 335 | 0.307 | 286 | 49 | 0.146 |
China | 109 | 0.100 | 97 | 12 | 0.110 |
Italy | 86 | 0.079 | 66 | 20 | 0.232 |
Spain | 61 | 0.056 | 47 | 14 | 0.229 |
Germany | 48 | 0.044 | 35 | 13 | 0.270 |
Japan | 38 | 0.034 | 35 | 3 | 0.078 |
Canada | 34 | 0.031 | 24 | 10 | 0.294 |
Turkey | 32 | 0.029 | 32 | 0 | 0 |
India | 30 | 0.027 | 25 | 5 | 0.166 |
United Kingdom | 30 | 0.027 | 23 | 7 | 0.233 |
Conceptual structure
The conceptual structure was created using multiple correspondence analyses (MCAs) method of the network of terms extracted from title, abstracts, and authors’ keywords. It gives us an idea of the links between concepts through the co-occurrences of the terms. It helps in identifying the similar group of studies by dividing the keywords into clusters. Words present in the same clusters might represent the same concept/topic. Using the MCA methods for the conceptual structure map, two clusters were found [Figure 5]. The red-colored cluster seems to match clinical studies and the blue cluster corresponds to the animal studies and experimental studies.
DISCUSSION
Bibliometric analysis is a good way at looking at global trends of the research within a topic, field, and across countries. It gives a wider outlook on the topic of interest. There are various publications on bibliometric analysis pertaining to spine topics,[8,9] arthroscopy topics,[10] and other orthopedic topics.[11] To the best of our knowledge, this is the first bibliometric analysis on this topic and it provides a broad picture of the worldwide research in this upcoming orthobiologic field. PRP has emerged as a valuable therapeutic option for various musculoskeletal disorders due to the pool of growth factors it contains and its role is tissue healing.[4] Initial studies in orthopedics were focused on PRP role in tendinopathies and started in 2006.[12] The clinical use of PRP for early OA of knee was first used by Sanchez et al. in 2008[13] and Kon et al.[14] came up with the first RCT of PRP use in OA knee. We analyzed the time frame from 1975 to 2020 and it can be clearly seen that the boom in publications has been in the past decade and is seeing a steady rise in the number of publications in both Scopus and PubMed.
A PubMed search resulted in a smaller number of documents in comparison to Scopus due to its narrow scope and coverage. PubMed mostly covers biomedical and life sciences literature, whereas Scopus covers wider range of scientific topics. However, PubMed database is a freely available database whereas Scopus is based on the subscription model.
PubMed also has a sophisticated keyword optimization approach whereas Scopus provides search analysis tools that can produce representative figures. The alternate sources of bibliometric information such as Web of Science and Google Scholar are also available. However, Scopus data are considered to be more inclusive and accurate.[15] Citation-related parameters are also better available in Scopus and using both PubMed and Scopus the databases, optimal results can be acquired.
The top three journals in terms of number of documents published are Arthroscopy – Journal of Arthroscopic and Related Surgery, American Journal of Sports Medicine, Osteoarthritis, and Cartilage. The American Journal of Sports Medicine has the highest total citations of 2366 and highest H-index of 19 in this particular field. Top journals in the respective subcategories (animal studies, clinical studies, review articles, and RCTs) are tabulated in [Table 5]. It gives a list of journals to follow and consider for publishing respective research for upcoming research work.
Clinical studies | Animal studies | Review articles | Randomized control trials | ||||
---|---|---|---|---|---|---|---|
Top 10 journals | Top 10 authors | Top 10 journals | Top 10 authors | Top 10 journals | Top 10 authors | Top 10 journals | Top 10 authors |
American Journal of Sports Medicine | Sanchez | Osteoarthritis and Cartilage | Cook | Arthroscopy: The Journal of Arthroscopic and Related Surgery | Cole | Arthroscopy: The Journal of Arthroscopic and Related Surgery | Kon |
Arthroscopy -Journal of Arthroscopic and Related Surgery | Filardo | Plos One | Bozynski | Current Reviews In Musculoskeletal Medicine | Andia | American Journal of Sports Medicine | Filardo |
Orthopaedic Journal of Sports Medicine | Kon | The American Journal of Sports Medicine | Kurok | Clinics In Sports Medicine | Sanchez | Orthopaedic Journal of Sports Medicine | Cole |
Osteoarthritis and Cartilage | Fiz | Arthritis and Rheumatism | Zhang | International Journal Of Molecular Sciences | Maffuli | Knee Surgery Sports Traumatology Arthroscopy | Gobbi |
Knee Surgery Sports Traumatology Arthroscopy : Official Journal Of The Esska | Bastos | BMC Veterinary Research | Carmona | Orthopaedic Journal of Sports Medicine | Rodeo | BMC Musculoskeletal Disorders | Dhillon |
Arthritis and Rheumatism | Cenacchi | Journal of Orthopaedic Research -Official Publication of The Orthopaedic Research Society | Anitua | Physical Medicine And Rehabilitation Clinics of North America | Chahla | Clinical Rheumatology | Patel |
Knee | Di Martino | American Journal of Veterinary Research | Bertone | The Journal of Knee Surgery | Laprade | International Journal of Surgery | Hunter |
Clinical Orthopaedics and Related Research | Marcacci | Sports Medicine and Arthroscopy Review | Carrillo | Journal of Clinical Orthopaedics and Trauma | Anitua | PM and R | Liu |
Clinical Rheumatology | Anitua | The Journal of Knee Surgery | Cole | Pm and R: The Journal of Injury Function And Rehabilitation | Filardo | Cartilage | CömertKiliç |
European Journal of Orthopaedic Surgery and Traumatology | Delgado | Arthritis Research and Therapy | Fortier | The Physician and Sports Medicine | Kon | Journal of Orthopaedics | Di Matteo |
The prolific authors in this field are Kon E, Filardo G, Cole BJ, and Sanchez.[16] [Table 5] also provides the top 10 authors in respective subcategories.
Original article by Patel et al. in 2013[6] which first established the superiority of PRP over placebo for early OA knee is the highest cited paper with 386 citations in this field. Top five cited papers are tabulated in [Table 6].
Rank | Author (year) | Title | Journal | Citations |
---|---|---|---|---|
1 | Patel et al. (2013)[6] | Treatment with platelet-rich plasma is more effective than placebo for knee osteoarthritis: A prospective, double-blind, randomized trial | Am J Sports Med | 386 |
2 | Kon et al. (2010)[14] | Platelet-rich plasma: Intra-articular knee injections produced favorable results on degenerative cartilage lesions | Knee Surg Sports Traumatol Arthroscopy | 346 |
3 | Fortier et al. (2011)[4] | The role of growth factors in cartilage repair | Clin OrthopRelat Res | 334 |
4 | Kon et al. (2011)[16] | Platelet-Rich Plasma Intra-Articular Injection Versus Hyaluronic Acid Viscosupplementation as Treatments for Cartilage Pathology: From Early Degeneration to Osteoarthritis | ARTHROSCOPY J ARTHROSCOPIC RELAT SURG | 325 |
5 | Barbero A (2004)[8] | Age-related changes in human articular chondrocyte yield, proliferation and post-expansion chondrogenic capacity | Osteoarthritis Cartilage | 283 |
The geographic distribution of scientific research in a particular field is important to analyze as it can give a rough idea of the research capabilities and available technologies in the countries and respective institutions. Researchers wanting to start these procedures can look forward to collaboration and fellowships and help from these relevant countries or institutions. The USA and China followed by Italy and Spain are the leading countries in research in this field. Six of the top 10 universities are in the United States and Rush University Medical Center (United States) tops the list of top universities involved in the research [Table 7]. Universities in the USA and Europe appear to be the leaders in this field.
Rank | Institution (Country) | Articles |
---|---|---|
1 | Rush University Medical Center, (United States) | 42 |
2 | Rizzoli Orthopaedic Institute, (Italy) | 35 |
3 | Taipei Medical University, (Taiwan) | 34 |
4 | Harvard Medical School, (United States) | 29 |
5 | Hospital for Special Surgery, (United States) | 25 |
6 | Tabriz University of Medical Sciences, (Iran) | 18 |
7 | Hospital Vithas San Jose, (Spain) | 17 |
8 | University of Missouri, (United States) | 17 |
9 | Cornell University, (United States) | 15 |
10 | University of California, (United States) | 15 |
During the beginning of the decade, there was a lot of hype around PRP use in orthopedics and there were a lot more review articles than original research and there was a need for more and more clinical trials.[17] Even after 10 years of research, original clinical research articles (15.31% and 22.15%) are less compared to review articles (34.6% and 28.3%) in both PubMed and Scopus, respectively. The absence of adequate well-designed studies in this field is well recognized and hence evidence is equivocal and PRP is yet to find its mention in various international guidelines.[18] Clinical research with well-designed studies is still the need of hour to establish the role of PRP in early OA knee.
CONCLUSION
The present study is the first bibliometric evaluation on the worldwide research productivity in the field of PRP and OA knee. There has been a steady increase in publication in this field and there are many journals which are publishing articles related to this relatively new field in orthopedics. There is a need for more clinical trials in this field.
Declaration of patient consent
Patient’s consent not required as there are no patients in this study.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
SUPPLEMENTARY MATERIALS
Part 1-Details of the methodology
Generic attributes
It presents the general attributes of the information present in the bibliographic data. This information includes number of sources, documents, average citations per documents, average citations per year per document, average years from publications, and number of documents for seven different study types.
In this study, we have calculated the annual scientific production. It refers to how much output researchers produce within a specific time period. The number of documents published over the years was used as a criterion for mapping the annual scientific production.
Authors
Hirsch index or h-index has been used to evaluate the impact of authors in the field of PRP. H-index is calculated by the authors’ number of publications (h) each of which has been cited at least h times in other papers.[1]
Authors’ collaboration network
For the social structure, we have studied the collaboration pattern of authors. First, we constructed a network graph where the nodes represent the authors and the lines connecting them represent the coauthorship relationship between them. Further, the clusters of authors have been identified using modularity maximization based Louvain algorithm. The colors represent different clusters of authors. The authors belonging to the same cluster might have collaborated more number of times as compared to authors in the different clusters.[2]
Journals
The key indicators used to evaluate the performance of journals were h-index, citations, and the total number of articles published in a journal.[3]
Countries
The key measures which were used to identify the top countries working in this field are single-country publications, multiple-country publications (MCPs), and MCP ratio. The MCP ratio is the measure of multicountry publications to the total number of articles.[4] The information about countries was available only with Scopus, so it has been used to find out the top 10 countries working in this field.
Documents
Citation analysis is used as a measure to evaluate the impact of an article. The number of global citations received per year has been employed as a metric to evaluate the impact of an article.[4]
Conceptual Structure
This tool was used to construct and visualize the cooccurrence data of authors’ keywords. The analysis of keywords plays a significant role as it helps in investigating the core topics in the field.[5] Multiple correspondence analyses have been used to identify conceptual structure. It unfolds the patterns geometrically by mapping each word of analysis as a point in a low dimensional space.[6,7]
Part 2-Analysis of Top Author’s Production Over Time
The top author’s production over time is shown in [Supplementary Figure 1]. The X-axis represents an author’s timeline. It can be clearly observed that Kone E emerges as the first one to start publishing in this field starting from the year 2005 in the PubMed. In 2015, Cole BJ published four articles with the highest citations per year of 34.57.
Part 3: Yearly Citations and Number of Cited Papers
[Supplementary Figure 2] shows the total citations per year and number of cited papers per year from Scopus.
References
- Orthobiologics and platelet rich plasma. Indian J Orthop. 2014;48:1-9.
- [CrossRef] [PubMed] [Google Scholar]
- An evidence-based evaluation on the use of platelet rich plasma in orthopedics a review of the literature. SICOT J. 2017;3:57.
- [CrossRef] [PubMed] [Google Scholar]
- Multiple platelet-rich plasma injections versus single platelet-rich plasma injection in early osteoarthritis of the knee: An experimental study in a guinea pig model of early knee osteoarthritis. Am J Sports Med. 2019;47:2300-7.
- [CrossRef] [PubMed] [Google Scholar]
- The role of growth factors in cartilage repair. Clin Orthop Relat Res. 2011;469:2706-15.
- [CrossRef] [PubMed] [Google Scholar]
- PRP injections for the treatment of knee osteoarthritis: A meta-analysis of randomized controlled trials. Cartilage. 2021;13(Suppl 1):364S-75.
- [CrossRef] [PubMed] [Google Scholar]
- Treatment with platelet-rich plasma is more effective than placebo for knee osteoarthritis: A prospective, double-blind, randomized trial. Am J Sports Med. 2013;41:356-64.
- [CrossRef] [PubMed] [Google Scholar]
- Bibliometric analysis using bibliometrix an R package. J Scientometric Res. 2019;8:156-60.
- [CrossRef] [Google Scholar]
- Age related changes in human articular chondrocyte yield, proliferation and post-expansion chondrogenic capacity. Osteoarthritis Cartilage. 2004;12:476-84.
- [CrossRef] [PubMed] [Google Scholar]
- Worldwide research productivity in the field of spine surgery: A 10-year bibliometric analysis. Eur Spine J. 2016;25:976-82.
- [CrossRef] [PubMed] [Google Scholar]
- Publication trends of PCL in the last 40 years on PubMed. J Clin Orthop Trauma. 2020;11(Suppl 3):S354-61.
- [CrossRef] [PubMed] [Google Scholar]
- Bibliometric analysis of orthopedic literature on total knee arthroplasty in Asian countries: A 10-year analysis. Knee Surg Relat Res. 2015;27:149-55.
- [CrossRef] [PubMed] [Google Scholar]
- Treatment of chronic elbow tendinosis with buffered platelet-rich plasma. Am J Sports Med. 2006;34:1774-8.
- [CrossRef] [PubMed] [Google Scholar]
- Intra-articular injection of an autologous preparation rich in growth factors for the treatment of knee OA: A retrospective cohort study. Clin Exp Rheumatol. 2008;26:910-3.
- [Google Scholar]
- Platelet-rich plasma intra-articular injection versus hyaluronic acid viscosupplementation as treatments for cartilage pathology: From early degeneration to osteoarthritis. Arthroscopy. 2011;27:1490-501.
- [CrossRef] [PubMed] [Google Scholar]
- Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB J. 2008;22:338-42.
- [CrossRef] [PubMed] [Google Scholar]
- Platelet-rich plasma: Intra-articular knee injections produced favorable results on degenerative cartilage lesions. Knee Surg Sports Traumatol Arthrosc. 2010;18:472-9.
- [CrossRef] [PubMed] [Google Scholar]
- Implicit hype? Representations of platelet rich plasma in the news media. PLoS One. 2017;12:e0182496.
- [CrossRef] [PubMed] [Google Scholar]
- The anti-inflammatory and matrix restorative mechanisms of platelet rich plasma in osteoarthritis. Am J Sports Med. 2014;42:35-41.
- [CrossRef] [PubMed] [Google Scholar]
- Enhancing the h index for the objective assessment of healthcare researcher performance and impact. J R Soc Med Suppl. 2013;106:19-29.
- [CrossRef] [PubMed] [Google Scholar]
- Author collaboration in ten years of IPS2: A bibliometric analysis In: Procedia CIRP. Amsterdam, Netherlands: Elsevier; 2019. p. :22-7.
- [CrossRef] [Google Scholar]
- An application of Bradford's law: Identification of the core journals of pediatric neurosurgery and a regional comparison of citation density. Childs Nerv Syst. 2014;30:1717-27.
- [CrossRef] [PubMed] [Google Scholar]
- Bibliometric analysis of worldwide publications on multi-, extensively, and totally drug resistant tuberculosis (2006-2015) Multidiscip Respir Med. 2017;11:1-16.
- [CrossRef] [Google Scholar]
- A scientometrics review on land ecosystem service research. Sustainability (Switzerland). 2020;12:2959.
- [CrossRef] [Google Scholar]
- The use of multiple correspondence analysis to explore associations between categories of qualitative variables in healthy ageing. J Aging Res. 2013;2013:302163.
- [CrossRef] [PubMed] [Google Scholar]
- The bibliometric keywords network analysis of human resource management research trends: The case of human resource management journals in South Korea. Sustainability (Switzerland). 2020;12:5700.
- [CrossRef] [Google Scholar]