W Taylor

571 total citations
12 papers, 385 citations indexed

About

W Taylor is a scholar working on Rheumatology, Nephrology and Surgery. According to data from OpenAlex, W Taylor has authored 12 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 4 papers in Nephrology and 2 papers in Surgery. Recurrent topics in W Taylor's work include Gout, Hyperuricemia, Uric Acid (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). W Taylor is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (4 papers), Spondyloarthritis Studies and Treatments (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). W Taylor collaborates with scholars based in New Zealand, United States and United Kingdom. W Taylor's co-authors include Dafna D. Gladman, Philip J. Mease, Christian Antoni, Nicola Dalbeth, Tuhina Neogi, Michael Corkill, Tim Jansen, H. Ralph Schumacher, Lee S. Simon and Jasvinder A. Singh and has published in prestigious journals such as The Science of The Total Environment, Annals of the Rheumatic Diseases and Journal of Epidemiology & Community Health.

In The Last Decade

W Taylor

11 papers receiving 370 citations

Peers

W Taylor

RHEUM

NEPHR

IMMUN

HEMAT

SURGE

Josefina Marín Argentina

Valentina Picerno Italy

Pablo Cosci Italy

Olufemi Adelowo Nigeria

Eleonora Di Donato Italy

O. Saidane Tunisia

Reyhan Bilici Salman Türkiye

Irving Karten United States

Alison Lap‐tak China

Ertuğrul Çağrı Bölek Türkiye

Josefina Marín Argentina

W Taylor

226 ×0.8

RHEUM

32 ×0.3

NEPHR

143 ×1.2

IMMUN

85 ×0.8

HEMAT

19 ×0.2

SURGE

Citations per year, relative to W Taylor W Taylor (= 1×) peers Josefina Marín

Countries citing papers authored by W Taylor

Since Specialization

Citations

This map shows the geographic impact of W Taylor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by W Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Taylor more than expected).

Fields of papers citing papers by W Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W Taylor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by W Taylor. The network helps show where W Taylor may publish in the future.

Co-authorship network of co-authors of W Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of W Taylor. A scholar is included among the top collaborators of W Taylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W Taylor. W Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Taylor, W, et al.. (2024). Physical functions assessed by lower limb performance-based and self-reported outcome measures for knee musculoskeletal conditions: A scoping review. Brazilian Journal of Physical Therapy. 29(1). 101166–101166.

2.

Bohm, Kristin, et al.. (2024). Black soldier fly-based bioconversion of biosolids: Microbial community dynamics and fate of antibiotic resistance genes. The Science of The Total Environment. 930. 172823–172823. 14 indexed citations

3.

Henriksen, Marius, Henrik Gudbergsen, Henning Bliddal, et al.. (2017). OP0340 Weight loss for overweight and obese individuals with gout: a systematic review of longitudinal observational studies. Annals of the Rheumatic Diseases. 76. 196–196. 1 indexed citations

4.

Neogi, Tuhina, et al.. (2016). Crystal identification of synovial fluid aspiration by polarized light microscopy. An online test suggesting that our traditional rheumatologic competence needs renewed attention and training. Clinical Rheumatology. 36(3). 641–647. 40 indexed citations

5.

Singh, Jasvinder A., W Taylor, Lee S. Simon, et al.. (2011). Patient-reported Outcomes in Chronic Gout: A Report from OMERACT 10. The Journal of Rheumatology. 38(7). 1452–1457. 76 indexed citations

6.

Taylor, W, Richard M. Shewchuk, Kenneth G. Saag, et al.. (2009). Toward a valid definition of gout flare: Results of consensus exercises using delphi methodology and cognitive mapping. Arthritis Care & Research. 61(4). 535–543. 26 indexed citations

7.

Taylor, W, Andrew Harrison, John Highton, et al.. (2007). Disease Activity Score 28-ESR bears a similar relationship to treatment decisions across different rheumatologists, but misclassification is too frequent to replace physician judgement. Lara D. Veeken. 47(4). 514–518. 25 indexed citations

8.

Mease, Philip J., Christian Antoni, Dafna D. Gladman, & W Taylor. (2005). Psoriatic arthritis assessment tools in clinical trials. Annals of the Rheumatic Diseases. 64. ii49–ii54. 153 indexed citations

9.

Taylor, W, et al.. (1997). A retrospective review of yttrium-90 synovectomy in the treatment of knee arthritis. Lara D. Veeken. 36(10). 1100–1105. 36 indexed citations

10.

Jafari, Nematollah Jonaidi, et al.. (1976). Adult hemophilus influenzae pericarditis.. PubMed. 48(9). 513–5. 5 indexed citations

11.

Marks, John, et al.. (1968). Amniotic fluid concentrations of uric acid.. PubMed. 42(2). 359–61. 6 indexed citations

12.

Taylor, W. (1951). Changing Mortality from 1841 to 1947 measured by the Life Table. Journal of Epidemiology & Community Health. 5(3). 162–176. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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