Win May

40 papers receiving 1.8k citations

Peers

Win May
Comparison fields: 5 of 113
  • Family Practice 61
  • Pulmonary and Respiratory Medicine 643
  • Pathology and Forensic Medicine 194
  • Public Health, Environmental and Occupational Health 298
  • Oncology 234
Replace Alison J. Whelan with:
Alison J. Whelan United States
Ted A.W. Splinter Netherlands
Mark S. Walker United States
Louis‐Georges Ste‐Marie Canada
Marie Wood United States
Astra M. Liepa United States
Les White Australia
Jürg Bernhard Switzerland
Lauren P. Wallner United States
E. Ehrnrooth United States
Win May relative to Alison J. Whelan United States Alison J. Whelan's profile →
Citations per field
00.5×3.0×
Alison J. Whelan · 1×
Citations per year

Countries citing papers authored by Win May

Since Specialization
Citations

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

Fields of papers citing papers by Win May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Win May, 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 Win May Line = papers co-authored together Win May 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 1993476
2 1993414
3 2009196
4 2007109
5 201769
6 201263
7 201255
8 200945
9 199742
10 201539
11 201031
12 201029
13 201129
14 201228
15 200728
16 201126
17 200825
18
The effect of anabolic steroids on physical fitness.
197522
19 201721
20 197819

About Win May

Win May is a scholar working on Public Health, Environmental and Occupational Health, Family Practice, General Health Professions, Molecular Biology and Sociology and Political Science, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (13 papers), Clinical Reasoning and Diagnostic Skills (7 papers), Sarcoma Diagnosis and Treatment (3 papers), Retinoids in leukemia and cellular processes (3 papers), Simulation-Based Education in Healthcare (2 papers), Cultural Competency in Health Care (2 papers), Diversity and Career in Medicine (2 papers) and Health Sciences Research and Education (2 papers). The work is most often cited by research in Family Practice (61 citations), Pulmonary and Respiratory Medicine (643 citations), Pathology and Forensic Medicine (194 citations), Public Health, Environmental and Occupational Health (298 citations) and Oncology (234 citations). Win May has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Christopher T. Denny, Lynn Lunsford, Stephen L. Lessnick, Brian C. Lewis, Joo Hyun Park, Gilles Thomas, Jessica Zucman‐Rossi, Olivier Delattre, Mikhail L. Gishizky and Benjamin S. Braun. Their work appears in journals such as Medical Teacher, Academic Medicine, Oncogene, Journal of General Internal Medicine and Cytogenetic and Genome Research.

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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