Paul Tan

1.7k citations
40 papers · 1.2k · h-index 17

Impact in

  • Nephrology top 1%
    • Gout, Hyperuricemia, Uric Acid
    • Urticaria and Related Conditions
    • Spondyloarthritis Studies and Treatments

Papers in

    • Case Reports on Hematomas 6
    • Xenotransplantation and immune response 4
    • Gout, Hyperuricemia, Uric Acid 14

Paul Tan

38 papers receiving 1.2k citations

Peers

Paul Tan
Comparison fields: 5 of 91
  • Nephrology 542
  • Rheumatology 300
  • Surgery 703
  • Internal Medicine 28
  • Endocrinology, Diabetes and Metabolism 122
Replace Gilda Clayburne with:
Gilda Clayburne United States
Pierre‐André Guerne Switzerland
Satoshi Kokubo Japan
Schumacher Hr United States
Stephan Regenass Switzerland
J W Bradfield United Kingdom
Dagmar‐Christiane Fischer Germany
Armin E. Good United States
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Citations per field
00.5×9.7×
Gilda Clayburne · 1×
Citations per year

Countries citing papers authored by Paul Tan

Since Specialization
Citations

This map shows the geographic impact of Paul Tan'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 Paul Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tan more than expected).

Fields of papers citing papers by Paul Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Tan. 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 Paul Tan. The network helps show where Paul Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Tan Line = papers co-authored together Paul Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007286
2 2015176
3 2017104
4 201972
5 200862
6 201762
7 201553
8 200148
9 201328
10 201627
11 199326
12 201724
13 200020
14 200620
15 201020
16 202119
17 201417
18 201815
19 196915
20 201814

About Paul Tan

Paul Tan is a scholar working on Surgery, Nephrology, Rheumatology, Immunology and Dermatology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (14 papers), Case Reports on Hematomas (6 papers), Dermatology and Skin Diseases (5 papers), Urticaria and Related Conditions (4 papers), Autoimmune Bullous Skin Diseases (4 papers), Xenotransplantation and immune response (4 papers), T-cell and B-cell Immunology (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Nephrology (542 citations), Rheumatology (300 citations), Surgery (703 citations), Internal Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Paul Tan has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Nicola Dalbeth, Anne Horne, Robert B. Elliott, Lisa K. Stamp, Christina M. Buchanan, Livia Escobar, Jill Drake, Christopher Frampton, Anthony Doyle and Opetaia Aati. Their work appears in journals such as Annals of the Rheumatic Diseases, Xenotransplantation, Arthritis Research & Therapy, Immunology and Cell Biology and Arthritis & Rheumatology.

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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