Paul Tan
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
- Surgery top 5%
- Pancreatic function and diabetes
- Case Reports on Hematomas
- Xenotransplantation and immune response
Papers in
- Nephrology 14
- Gout, Hyperuricemia, Uric Acid 14
- Surgery 8
- Xenotransplantation and immune response 3
- Co-authors
- Nicola Dalbeth (14 shared papers)Anne Horne (13 shared papers)Robert B. Elliott (4 shared papers)Lisa K. Stamp (12 shared papers)Livia Escobar (1 shared paper)Christina M. Buchanan (1 shared paper)Jill Drake (9 shared papers)Christopher Frampton (6 shared papers)
- Journals
- Annals of the Rheumatic Diseases (6 papers)Arthritis Research & Therapy (3 papers)Xenotransplantation (3 papers)Immunology and Cell Biology (2 papers)Arthritis & Rheumatology (2 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Paul Tan
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Nephrology 541
- Surgery 560
- Rheumatology 183
- Endocrinology, Diabetes and Metabolism 110
- Genetics 159
Countries citing papers authored by Paul Tan
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
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.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 291 | |
| 2 | 2015 | 182 | |
| 3 | 2017 | 104 | |
| 4 | 2019 | 74 | |
| 5 | 2008 | 62 | |
| 6 | 2017 | 62 | |
| 7 | 2015 | 53 | |
| 8 | 2001 | 48 | |
| 9 | 2013 | 29 | |
| 10 | 2016 | 28 | |
| 11 | 1993 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2006 | 20 | |
| 14 | 2000 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2010 | 20 | |
| 17 | 2014 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 1969 | 15 |
About Paul Tan
Paul Tan is a scholar working on Nephrology, Surgery, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (14 papers), Autoimmune Bullous Skin Diseases (4 papers), Dermatology and Skin Diseases (3 papers), Xenotransplantation and immune response (3 papers), Animal Genetics and Reproduction (2 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Nephrology (541 citations), Surgery (560 citations), Rheumatology (183 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Genetics (159 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, Livia Escobar, Christina M. Buchanan, Jill Drake, Christopher Frampton, Anthony Doyle and Opetaia Aati. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy, Xenotransplantation, 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.