Win May
- Family Practice top 2%
- Clinical Reasoning and Diagnostic Skills 12
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- Sarcoma Diagnosis and Treatment 3
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- Innovations in Medical Education 18
- Pathology and Forensic Medicine top 10%
- General Health Professions top 5%
- Health Sciences Research and Education 4
- Interprofessional Education and Collaboration 3
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- Empathy and Medical Education 4
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- Retinoids in leukemia and cellular processes 3
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- Diversity and Career in Medicine 2
- Co-authors
- Christopher T. DennyBrian C. LewisStephen L. LessnickLynn LunsfordJoo Hyun ParkGilles ThomasMikhail L. GishizkyJessica Zucman‐Rossi
- Cited by
- Family PracticePulmonary and Respiratory MedicinePublic Health, Environmental and Occupational Health
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Win May
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Family Practice 115
- Pulmonary and Respiratory Medicine 635
- Public Health, Environmental and Occupational Health 455
- Pathology and Forensic Medicine 206
- General Health Professions 282
Countries citing papers authored by Win May
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 4 | |
| 2 | 2017 | 21 | |
| 3 | 2015 | 19 | |
| 4 | 2015 | 37 | |
| 5 | 2014 | 16 | |
| 6 | 2013 | 9 | |
| 7 | 2012 | 62 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 27 | |
| 10 | 2011 | 26 | |
| 11 | 2010 | 31 | |
| 12 | 2010 | 28 | |
| 13 | 2010 | 12 | |
| 14 | 2009 | 42 | |
| 15 | 2009 | 186 | |
| 16 | 2008 | 21 | |
| 17 | 2007 | 105 | |
| 18 | 2006 | 4 | |
| 19 | Creation of a Doctor-Patient Dialogue Corpus Using Standardized Patients | 2004 | 9 |
| 20 | 1999 | 1 |
About Win May
Win May is a scholar working on Family Practice, Public Health, Environmental and Occupational Health and Health Information Management, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Innovations in Medical Education (18 papers), Clinical Reasoning and Diagnostic Skills (12 papers), Health Sciences Research and Education (4 papers), Empathy and Medical Education (4 papers), Retinoids in leukemia and cellular processes (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Interprofessional Education and Collaboration (3 papers) and Diversity and Career in Medicine (2 papers). The work is most often cited by research in Family Practice (115 citations), Pulmonary and Respiratory Medicine (635 citations) and Public Health, Environmental and Occupational Health (455 citations). Win May has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Christopher T. Denny, Brian C. Lewis, Stephen L. Lessnick, Lynn Lunsford, Joo Hyun Park, Gilles Thomas, Mikhail L. Gishizky, Jessica Zucman‐Rossi, Benjamin S. Braun and Robert Hromas. Their work appears in journals such as Medical Teacher, Academic Medicine, Oncogene, Journal of General Internal Medicine and JAMA.
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.