Ming Ta Michael Lee
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 8
- Drug-Induced Adverse Reactions 3
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- Pharmacogenetics and Drug Metabolism 8
- Drug-Induced Adverse Reactions 3
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- Pharmacovigilance and Adverse Drug Reactions 2
- Statistics and Probability top 10%
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- Health Systems, Economic Evaluations, Quality of Life 3
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- Uterine Myomas and Treatments 2
- Gynecological conditions and treatments 2
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- Computational Drug Discovery Methods 2
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- Endometriosis Research and Treatment 2
- Co-authors
- Teri E. KleinAndrea GaedigkMichelle Whirl‐CarrilloJason H. KarnesAlison E. FohnerRachel HuddartElizabeth J. PhillipsJohn T. Callaghan
- Cited by
- PharmacologyInternal Medicine
- Journals
- PLoS ONE (1 paper)Clinical Pharmacology & Therapeutics (2 papers)Clinical Pharmacokinetics (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Ming Ta Michael Lee
16 papers receiving 449 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 246
- Pharmacology 87
- Internal Medicine 18
- Toxicology 14
- Statistics and Probability 33
Countries citing papers authored by Ming Ta Michael Lee
This map shows the geographic impact of Ming Ta Michael 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 Ming Ta Michael Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ta Michael Lee more than expected).
Fields of papers citing papers by Ming Ta Michael Lee
This network shows the impact of papers produced by Ming Ta Michael 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 Ming Ta Michael Lee. The network helps show where Ming Ta Michael Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Ta Michael 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 | 2025 | 1 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 17 | |
| 4 | 2020 | 81 | |
| 5 | 2020 | 104 | |
| 6 | 2019 | 14 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 29 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 30 | |
| 11 | 2014 | 14 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 17 | |
| 14 | 2013 | 80 | |
| 15 | 2010 | 9 | |
| 16 | 2009 | 14 |
About Ming Ta Michael Lee
Ming Ta Michael Lee is a scholar working on Pharmacology, Toxicology and Obstetrics and Gynecology, having authored 16 papers that have together received 452 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Drug-Induced Adverse Reactions (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Uterine Myomas and Treatments (2 papers), Gynecological conditions and treatments (2 papers), Computational Drug Discovery Methods (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Pharmacology (246 citations), Pharmacology (87 citations) and Internal Medicine (18 citations). Ming Ta Michael Lee has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Teri E. Klein, Andrea Gaedigk, Michelle Whirl‐Carrillo, Jason H. Karnes, Alison E. Fohner, Rachel Huddart, Elizabeth J. Phillips, John T. Callaghan, Adrián LLerena and Christine M. Formea. Their work appears in journals such as PLoS ONE, Clinical Pharmacology & Therapeutics and Clinical Pharmacokinetics.
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.