Robert S. Tan

476 citations
26 papers · 332 indexed · h-index 10

Impact in

Papers in

Robert S. Tan

22 papers receiving 311 citations

Peers

Robert S. Tan
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 233
  • Behavioral Neuroscience 29
  • Reproductive Medicine 50
  • Psychiatry and Mental health 70
  • Pharmacology 63
Replace Adam Millar with:
Adam Millar Canada
David E. Garza United States
Hong N. Bui Netherlands
Komal Imtiaz United Kingdom
Harvey A. Rubenstein United States
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Gooren Lj Netherlands
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Robert S. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Robert S. 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 Robert S. Tan Line = papers co-authored together Robert S. Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Measuring testosterone biomarkers in serum and saliva: are they accurate?
20150
3 201530
4 201432
5 20132
6 20139
7 200740
8 20052
9 20052
10
Aging Men's Health: A Case-Based Approach
20056
11
Male depression: a review of gender concerns and testosterone therapy.
200411
12 200412
13
The interlinked depression, erectile dysfunction, and coronary heart disease syndrome in older men: a triad often underdiagnosed.
200314
14 200358
15 200350
16
Physician executives as opinion leaders in biotechnology and pharmaceuticals.
20034
17 20001
18 20001
19 199815
20 19973

About Robert S. Tan

Robert S. Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Pharmacology, Transplantation and Psychiatry and Mental health, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Pharmacology and Obesity Treatment (8 papers), Sexual Differentiation and Disorders (7 papers), Stress Responses and Cortisol (4 papers), Sexual function and dysfunction studies (3 papers), Menopause: Health Impacts and Treatments (3 papers), Muscle metabolism and nutrition (2 papers) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (233 citations), Behavioral Neuroscience (29 citations), Reproductive Medicine (50 citations), Psychiatry and Mental health (70 citations) and Pharmacology (63 citations). Robert S. Tan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John Culberson, Stephanie Fuller, Ralph N. Martins, Claudia A. Orengo, Jonathan G. Crowston, Colin Chan, Ann M. Buchanan, Richard Chinnock, Bruce Rybarczyk and Jennifer Davis‐Berman. Their work appears in journals such as The Journal of Urology, American Journal of Men s Health, Clinical Gerontologist, Fertility and Sterility and British Journal of 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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