R. Tan

1.6k citations
40 papers · 1.1k · h-index 16

Impact in

Papers in

R. Tan

39 papers receiving 1.0k citations

Peers

R. Tan
Comparison fields: 5 of 93
  • Dermatology 306
  • Behavioral Neuroscience 105
  • Periodontics 118
  • Endocrinology, Diabetes and Metabolism 372
  • Pathology and Forensic Medicine 254
Replace Jill Donelan with:
Jill Donelan United States
Ian C. Chikanza United Kingdom
Junji Takeyama Japan
E Panconesi Italy
Gemma Caro Italy
Anke Lux Germany
Justin M. Johnson United States
Matthew A. Pimentel United States
Songya Pang United States
D G Payan United States
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Citations per field
00.5×9.5×
Jill Donelan · 1×
Citations per year

Countries citing papers authored by R. Tan

Since Specialization
Citations

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

Fields of papers citing papers by R. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. 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 R. Tan Line = papers co-authored together R. 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 1974187
2 2003114
3 2003103
4 197482
5 200966
6 197566
7 200259
8 197446
9 197438
10 197835
11 199931
12 200431
13 200327
14 199427
15 200124
16 199316
17 198715
18 199914
19
Papular lesions and cutaneous lupus erythematosus: a comparative clinical and histological study using monoclonal antibodies.
198814
20 200313

About R. Tan

R. Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology, Pathology and Forensic Medicine, Genetics and Epidemiology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (11 papers), Autoimmune Bullous Skin Diseases (7 papers), Cutaneous lymphoproliferative disorders research (6 papers), Menopause: Health Impacts and Treatments (5 papers), Sexual Differentiation and Disorders (4 papers), Estrogen and related hormone effects (4 papers), Stress Responses and Cortisol (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Dermatology (306 citations), Behavioral Neuroscience (105 citations), Periodontics (118 citations), Endocrinology, Diabetes and Metabolism (372 citations) and Pathology and Forensic Medicine (254 citations). R. Tan has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include P.D. Samman, Hugh McLaughlin, Michael C. Scally, Jack P. Hayes, N.A. Byrom, P.W.M. Copeman, John Culberson, T I MacLeod, D. Timlin and Peter J. Maddison. Their work appears in journals such as British Journal of Dermatology, The Aging Male, The Journal of Heart and Lung Transplantation, Expert Opinion on Drug Safety and Clinical and Experimental Dermatology.

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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