Stephen Tan

23 papers receiving 411 citations

Peers

Stephen Tan
Comparison fields: 5 of 89
  • Dermatology 142
  • Rheumatology 49
  • Hematology 36
  • Pharmaceutical Science 15
  • Cell Biology 39
Replace Mehmet C. Mocan with:
Mehmet C. Mocan Türkiye
M Lacour France
D.A. BURNS United Kingdom
Jennifer J. Schoch United States
P. Celérier France
Jee Woong Choi South Korea
Billur Sezgin Türkiye
Anna Chacon United States
Patricia L. Danielsen Denmark
Adam M. Rotunda United States
Stephen Tan relative to Mehmet C. Mocan Türkiye Mehmet C. Mocan's profile →
Citations per field
00.5×1.5×2.1×
Mehmet C. Mocan · 1×
Citations per year

Countries citing papers authored by Stephen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen 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 Stephen Tan Line = papers co-authored together Stephen Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200489
2 200254
3 199741
4 200440
5 202035
6 201426
7
Erythema ab igne: an old condition new again.
200024
8 200420
9 200320
10 199516
11 201215
12
Pemphigus vulgaris induced by electrical injury.
200614
13 20219
14 20037
15 20044
16 20044
17 20023
18 20223
19 20052
20 19962

About Stephen Tan

Stephen Tan is a scholar working on Dermatology, Pulmonary and Respiratory Medicine, Epidemiology, Rheumatology and Surgery, having authored 23 papers that have together received 431 indexed citations. Recurring topics across this work include Dermatologic Treatments and Research (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Sympathectomy and Hyperhidrosis Treatments (3 papers), Connective tissue disorders research (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Parathyroid Disorders and Treatments (2 papers), Corneal Surgery and Treatments (2 papers) and Hypertrophic osteoarthropathy and related conditions (2 papers). The work is most often cited by research in Dermatology (142 citations), Rheumatology (49 citations), Hematology (36 citations), Pharmaceutical Science (15 citations) and Cell Biology (39 citations). Stephen Tan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Whitney D. Tope, Nowell Solish, Vince Bertucci, Michael Mezei, Joanne M. Bargman, Danny Ghazarian, Orlando Hung, Sara Whynot, Drayton A. Hammond and Mark R. McDermott. Their work appears in journals such as Dermatologic Surgery, Journal of the American Academy of Dermatology, Journal of Cutaneous Medicine and Surgery, JAIDS Journal of Acquired Immune Deficiency Syndromes and Drug Delivery.

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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