| Literature DB >> 35757713 |
Pin Deng1, Shulong Wang1, Xiaojie Sun1, Yinze Qi2, Zhanhua Ma2, Xuyue Pan2, Huan Liang1, Junde Wu2, Zhaojun Chen2.
Abstract
Gouty arthritis (GA), as a multifactorial disease, is characterised by intense pain, active inflammation symptoms, and swollen joints. It has utterly complex pathogenesis, of which the amount of research publications on GA has increased during the last few decades. A bibliometric analysis was carried out to investigate the trends, frontiers, and hot spots in global scientific output in GA research over the last decade. We retrieved the Science Citation Index Expanded (SCI-Expanded) of the Web of Science Core Collection (WoSCC) for publications and recorded information published from 2012 to 2021. we carried out the bibliometric analysis and visualisation analysis of the overall distribution of annual outputs, leading countries, active institutions, journals, authors, co-cited references, and keywords with the VOSviewer and CiteSpace. The impact and quality of papers were assessed using a global citation score (GCS). We retrieved 2052 articles and reviews in total. The annual number of publications (Np) related to GA research has increased during the latest decade. China published the most papers, and the USA achieved the highest H-index and number of citations (Nc). The League of European Research Universities (LERU) and Clinical Rheumatology (Clin Rheumatol) are the most productive institutions and periodicals. The total GCS of the paper written by Kottgen, A. in 2013 was 479, ranking the first. The most common keywords were "Gout," "hyperuricemia," and "gouty arthritis." This research revealed that though there was a slight fluctuation in publications related to GA, the Np raised on the whole. China was an enormous creator, and the USA was an influential nation in this domain. The top three contributor authors were Dalbeth, N., Singh, JA., and Choi, HK. There were few investigations on the treatment of GA by Chinese medicine monomer, and the "mechanism," "pathway", "nf- kappa-b", "injury", "receptor", and "animal model" were growing research hotspots. Our research illustrated the hotspots of research and development trends in the research field of GA during the last decade. Recognition of the most critical indicators (researchers, countries, institutes, and journals for the release of GA research), hotspots in the research field of GA can be helpful for countries, scholars, and policymakers in this field to understand GA better make decisions.Entities:
Keywords: CiteSpace; VOSviewer; bibliometric study; gouty arthritis; trends
Mesh:
Year: 2022 PMID: 35757713 PMCID: PMC9229989 DOI: 10.3389/fimmu.2022.910400
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
TS search quires and refinement procedure.
| Set | Results | Refinement |
|---|---|---|
| 1 | 3297 | TOPIC: (TS=(Arthritis, Gouty) OR TS=(Gouty Arthritis) OR TS=(“Gouty Arthritis”) OR TS=(“Gout Arthritis”) OR TS=(Arthritis, Gout) OR TS=(Gout Arthritis))) Indexes =SCI-EXPANDED |
| 2 | 2415 | Refined by PUBLICATION YEARS: (2012 OR 2013 OR 2014 OR 2015 OR 2016 OR 2017 OR 2018 OR 2019 OR 2020 OR 2021) |
| 3 | 2107 | Refined by DOCUMENT TYPES: (ARTICLES OR REVIEW ARTICLES) |
| 4 | 2052 | Refined by LANGUAGES: (ENGLISH) |
Figure 1Geographical distribution of publications on GA research, 2012–2021.
Figure 2Top 10 countries in terms of annual publications on GA research, from 2012-2021. The circle’s size and colours show the number of papers. The larger the circle, the colour from light blue to red, the higher the number of articles issued in that country.
Figure 3(A) The number of publications by year during the last ten years. (B) Curve fitting of publications’ overall yearly growth trend.
The top ten countries/regions with the highest productivity.
| Rank | Country/Region | Np | % of (2052) | Nc | H-index |
|---|---|---|---|---|---|
| 1 | China | 580 | 28.26% | 6422 | 38 |
| 2 | USA | 535 | 26.07% | 14607 | 58 |
| 3 | New Zealand | 142 | 6.92% | 4116 | 34 |
| 4 | England | 132 | 6.43% | 4189 | 32 |
| 5 | Netherlands | 124 | 6.04% | 4062 | 32 |
| 6 | Germany | 114 | 5.56% | 4177 | 32 |
| 7 | South Korea | 107 | 5.21% | 1292 | 19 |
| 8 | Italy | 99 | 4.82% | 2917 | 30 |
| 9 | Australia | 98 | 4.77% | 3382 | 27 |
| 10 | France | 87 | 4.24% | 4022 | 28 |
The top ten most productive affiliations.
| Rank | Affiliations | Country | Np | Nc | H-index |
|---|---|---|---|---|---|
| 1 | League of European Research Universities (LERU) | Germany | 129 | 4824 | 35 |
| 2 |
| New Zealand | 101 | 3467 | 31 |
| 3 |
| New Zealand | 78 | 2804 | 27 |
| 4 | The Department of Veterans Affairs | USA | 68 | 2728 | 24 |
| 5 |
| USA | 67 | 1669 | 23 |
| 6 | Veterans Health Administration (VHA) | USA | 65 | 2693 | 24 |
| 7 | University of Alabama System | USA | 59 | 2761 | 25 |
| 8 | University of Alabama Birmingham | USA | 58 | 2473 | 24 |
| 9 | Udice-French Research Universities | France | 56 | 3712 | 26 |
| 10 | Assistance Publique Hopitaux Paris (APHP) | France | 54 | 3215 | 26 |
The top ten authors with the most publications.
| Rank | Author | Affiliations | Country | Np | Nc | H-index |
|---|---|---|---|---|---|---|
| 1 | Dalbeth, N. | Univ Auckland | New Zealand | 94 | 3308 | 31 |
| 2 | Singh, JA. | Birmingham VA Med Ct | USA | 44 | 1804 | 17 |
| 3 | Choi, HK. | Harvard Med Sch | USA | 34 | 1110 | 20 |
| 4 | Stamp, LK. | Univ Otago | New Zealand | 34 | 863 | 18 |
| 5 | Taylor, WJ. | Univ Otago | New Zealand | 28 | 1341 | 17 |
| 6 | Rome, K. | AUT Univ | New Zealand | 25 | 238 | 10 |
| 7 | Schlesinger, N. | Univ Med & Dent New Jersey | USA | 25 | 504 | 12 |
| 8 | Neogi, T. | Boston Univ | USA | 24 | 1840 | 16 |
| 9 | Bardin, T. | Assistance Publique Hopitaux Paris (APHP) | France | 19 | 1276 | 14 |
| 10 | Li, CG. | Qingdao Univ | China | 19 | 185 | 6 |
The top ten most-published journals.
| Rank | Journal | Np | Nc | H-index | IF(2020) |
|---|---|---|---|---|---|
| 1 | Clinical Rheumatology | 72 | 801 | 19 | 2.98 |
| 2 | Rheumatology | 61 | 1531 | 24 | 7.58 |
| 3 |
| 59 | 1540 | 24 | 5.156 |
| 4 | Annals of the Rheumatic Diseases | 51 | 2914 | 32 | 19.103 |
| 5 | Journal of Rheumatology | 50 | 852 | 18 | 4.666 |
| 6 | Seminars in Arthritis and Rheumatism | 46 | 1294 | 21 | 5.532 |
| 7 | Rheumatology International | 41 | 585 | 14 | 2.631 |
| 8 | Arthritis Care and Research | 35 | 2473 | 24 | 4.794 |
| 9 | Journal of Ethnopharmacology | 35 | 431 | 13 | 4.36 |
| 10 | Joint Bone Spine | 33 | 471 | 14 | 4.929 |
Correlation of high-quality journals with high attention and the most productive countries.
| Rank | Journal | Total | Np | IF (2020) | ||
|---|---|---|---|---|---|---|
| China | USA | New Zealand | ||||
| 1 | Rheumatology | 61 | 9 | 14 | 6 | 7.58 |
| 2 | Annals of the Rheumatic Diseases | 51 | 5 | 26 | 16 | 19.103 |
| 3 | Seminars in Arthritis and Rheumatism | 46 | 2 | 29 | 6 | 5.532 |
| 4 | Arthritis & Rheumatology | 27 | / | 19 | 9 | 10.995 |
| 5 | Nature Reviews Rheumatology | 13 | 1 | 4 | 2 | 20.543 |
“/” represent no Np.
The top ten highest cited articles.
| Rank | Year | Article | IF (2020) | Total citation | Type of study |
|---|---|---|---|---|---|
| 1 | 2013 | Kottgen, A. et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. NATURE GENETICS. 2013, 45 (2): 145-154 | 38.33 | 491 | Clinical Research |
| 2 | 2012 | Khanna, D. et al., 2012 American College of Rheumatology guidelines for management of gout. Part 2: Therapy and antiinflammatory prophylaxis of acute gouty arthritis. ARTHRITIS CARE & RESEARCH. 2012, 64 (10): 1447-1461 | 4.794 | 484 | Article |
| 3 | 2012 | Schauer, C. et al. Aggregated neutrophil extracellular traps limit inflammation by degrading cytokines and chemokines. NATURE MEDICINE,2014, 20 (5): 511-517 | 53.44 | 478 | Basic and Clinical Research |
| 4 | 2012 | Juliana, C. et al. Non-transcriptional Priming and Deubiquitination Regulate NLRP3 Inflammasome Activation. JOURNAL OF BIOLOGICAL CHEMISTRY. 2012, 287 (43): 36617-36622 | 5.157 | 446 | Basic Medical Research |
| 5 | 2013 | Dinarello, CA. et al. Treating inflammation by blocking interleukin-1 in humans. SEMINARS IN IMMUNOLOGY. 2013, 25 (6): 469-484 | 11.13 | 321 | Review |
| 6 | 2015 | Leung, YY. et al. Colchicine-Update on mechanisms of action and therapeutic uses. SEMINARS IN ARTHRITIS AND RHEUMATISM. 2015, 45 (3): 341-350 | 5.532 | 314 | Review |
| 7 | 2013 | Graham, GG. et al. The modern pharmacology of paracetamol: therapeutic actions, mechanism of action, metabolism, toxicity and recent pharmacological findings. INFLAMMOPHARMACOLOGY. 2013, 21 (3): 201-232 | 4.473 | 294 | Review |
| 8 | 2015 | Neogi, T. et al., 2015 Gout Classification Criteria An American College of Rheumatology/European League Against Rheumatism Collaborative Initiative. ARTHRITIS & RHEUMATOLOGY. 2015, 67 (10):2557-2568 | 10.995 | 291 | Article |
| 9 | 2014 | March, L. et al. Burden of disability due to musculoskeletal (MSK) disorders. BEST PRACTICE & RESEARCH IN CLINICAL RHEUMATOLOGY. 2014, 28 (3): 353-366 | 4.098 | 287 | Article |
| 10 | 2016 | Pei, KH. et al. p-Coumaric acid and its conjugates: dietary sources, pharmacokinetic properties and biological activities. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE. 2016, 96 (9): 2952-2962 | 3.639 | 233 | Review |
Figure 4The yearly number of global citations for papers having a high global citation score (GCS). The circle’s size and colours show the GCS of papers. The larger the circle and the colour from blue to red, the higher the GCS of the article and the more influential it is in the field.
Figure 5Network of document citation. Given a large number of references available, the minimum number of citations for a reference was placed at 50. 161 of the 2052 papers were chosen for citation analysis. The different colours of the nodes represent different documents, with larger nodes meaning more frequently cited articles.
Figure 6Radar map of the top ten research productive categories on GA.
Figure 7Mapping based on co-cited references from GA-related research. (A) A network diagram of co-cited references. Of the 51775 references, 184 (divided into four clusters) were cited at least 30 times. (B) The top nine clusters’ timeline distribution. (C) The top 20 co-cited references with the most citation burstiness. The years between “Begin” and “End” represent the period when the reference was more influential. Years in light green mean that the reference has not yet appeared, years in dark green mean that the reference is less influential, and years in red mean that the reference is more influential.
Figure 8GA’s keyword mapping. (A) Using different colours, the 168 terms that appeared more than 20 times were separated into five clusters: Cluster 1 (red): the inflammatory mechanism of GA. Cluster 2 (green): the prognosis, and epidemiology of GA. Cluster 3 (blue): the research on the diagnosis of GA. Cluster 4 (yellow): the clinical research of GA. Cluster 5 (purple): the care and risk factors for GA. The size of the nodes indicates occurrence frequency. (B) Keyword visualization according to the APY. The different colours indicate the relevant year of publication. Yellow keywords came later than purple keywords. (C) Timeline distribution of keyword cluster analysis. (D) The top twenty keywords with the most bursts. The years between “Begin” and “End” represent the period when the keyword was more influential. Years in light green mean that the keyword has not yet appeared, years in dark green mean that the keyword is less influential, and years in red mean that the keyword is more influential.