David M. Lee
Impact in
- Rheumatology top 0.2%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Osteoarthritis Treatment and Mechanisms
- Immunology top 1%
Papers in
-
- Cell Adhesion Molecules Research 11
- Rheumatology 23
- Systemic Lupus Erythematosus Research 6
- Rheumatoid Arthritis Research and Therapies 6
- Co-authors
- Michael E. WeinblattNeil PendletonMichael B. BrennerFrederick C. W. WuTerence W O’NeillDirk VanderschuerenMargus PunabKrzysztof Kula
- Journals
- The Journal of Immunology (4 papers)European Journal of Endocrinology (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Nature Immunology (3 papers)Biopolymers (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
David M. Lee
125 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Rheumatology 2.1k
- Immunology 1.7k
- Endocrinology, Diabetes and Metabolism 1.3k
- Immunology and Allergy 463
- Reproductive Medicine 573
Countries citing papers authored by David M. Lee
This map shows the geographic impact of David 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 David 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 David M. Lee more than expected).
Fields of papers citing papers by David M. Lee
This network shows the impact of papers produced by David 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 David M. Lee. The network helps show where David M. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2015 | 14 | |
| 3 | 2015 | 34 | |
| 4 | 2015 | 37 | |
| 5 | 2013 | 18 | |
| 6 | 2013 | 10 | |
| 7 | 2012 | 144 | |
| 8 | 2012 | 213 | |
| 9 | 2011 | 127 | |
| 10 | 2011 | 70 | |
| 11 | 2010 | 64 | |
| 12 | 2009 | 29 | |
| 13 | 2007 | 320 | |
| 14 | 2007 | 195 | |
| 15 | 2006 | 148 | |
| 16 | 2005 | 67 | |
| 17 | 2004 | 127 | |
| 18 | 2002 | 264 | |
| 19 | 2002 | 3 | |
| 20 | 1999 | 17 |
About David M. Lee
David M. Lee is a scholar working on Immunology and Allergy, Rheumatology, Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health and Reproductive Medicine, having authored 128 papers that have together received 8.8k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (15 papers), Sexual function and dysfunction studies (11 papers), Cell Adhesion Molecules Research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Muscle Physiology and Disorders (7 papers), Systemic Lupus Erythematosus Research (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Vitamin D Research Studies (5 papers). The work is most often cited by research in Rheumatology (2.1k citations), Immunology (1.7k citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Immunology and Allergy (463 citations) and Reproductive Medicine (573 citations). David M. Lee has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Michael E. Weinblatt, Neil Pendleton, Michael B. Brenner, Frederick C. W. Wu, Terence W O’Neill, Dirk Vanderschueren, Margus Punab, Krzysztof Kula, Ilpo Huhtaniemi and Felipe F. Casanueva. Their work appears in journals such as The Journal of Immunology, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Nature Immunology and Biopolymers.
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.