Will M. Lee
Impact in
- Reproductive Medicine top 0.1%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
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- Sperm and Testicular Function 60
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- Renal and related cancers 7
- Co-authors
- C. Yan Cheng (66 shared papers)Dolores D. Mruk (41 shared papers)Wing‐Yee Lui (19 shared papers)Helen H.N. Yan (5 shared papers)Michelle K.Y. Siu (2 shared papers)Pearl P.Y. Lie (5 shared papers)Elissa W.P. Wong (7 shared papers)Michelle Li (8 shared papers)
- Journals
- Endocrinology (12 papers)Proceedings of the National Academy of Sciences (6 papers)The FASEB Journal (5 papers)Scientific Reports (4 papers)Cell Death and Disease (3 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Will M. Lee
73 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 108
- Reproductive Medicine 2.8k
- Public Health, Environmental and Occupational Health 1.4k
- Urology 176
- Rheumatology 401
- Neurology 219
Countries citing papers authored by Will M. Lee
This map shows the geographic impact of Will M. Lee'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 Will M. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will M. Lee more than expected).
Fields of papers citing papers by Will M. Lee
This network shows the impact of papers produced by Will M. Lee. 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 Will M. Lee. The network helps show where Will M. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Will M. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 231 | |
| 2 | 2002 | 219 | |
| 3 | 2005 | 170 | |
| 4 | 2003 | 156 | |
| 5 | 2009 | 142 | |
| 6 | 2010 | 136 | |
| 7 | 2006 | 135 | |
| 8 | 2009 | 131 | |
| 9 | 2008 | 127 | |
| 10 | 2008 | 115 | |
| 11 | 2010 | 114 | |
| 12 | 2012 | 113 | |
| 13 | 2005 | 98 | |
| 14 | 2009 | 85 | |
| 15 | 2005 | 84 | |
| 16 | 1999 | 81 | |
| 17 | 2010 | 80 | |
| 18 | 2004 | 75 | |
| 19 | 2014 | 72 | |
| 20 | 2011 | 67 |
About Will M. Lee
Will M. Lee is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Rheumatology and Surgery, having authored 73 papers that have together received 4.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (60 papers), Reproductive Biology and Fertility (26 papers), Urologic and reproductive health conditions (14 papers), Hormonal and reproductive studies (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Renal and related cancers (7 papers), Urinary Bladder and Prostate Research (7 papers) and Testicular diseases and treatments (7 papers). The work is most often cited by research in Reproductive Medicine (2.8k citations), Public Health, Environmental and Occupational Health (1.4k citations), Urology (176 citations), Rheumatology (401 citations) and Neurology (219 citations). Will M. Lee has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include C. Yan Cheng, Dolores D. Mruk, Wing‐Yee Lui, Helen H.N. Yan, Michelle K.Y. Siu, Pearl P.Y. Lie, Elissa W.P. Wong, Michelle Li, Elizabeth I. Tang and Ching-hang Wong. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, The FASEB Journal, Scientific Reports and Cell Death and Disease.
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.