MT Lee

707 citations
6 papers · 461 · 1 hit paper · h-index 4

Impact in

Papers in

MT Lee

6 papers receiving 447 citations

MT Lee's Hit Papers

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics‐Guided Warfarin Dosing: 2017 Update 2017 · 435 citations
4350+3+6Years since publication100200300400

Peers

MT Lee
Comparison fields: 5 of 71
  • Pharmacology 319
  • Pediatrics, Perinatology and Child Health 95
  • Biochemistry 34
  • Statistics and Probability 37
  • Internal Medicine 13
Replace Ming Ta Michael Lee with:
Ming Ta Michael Lee United States
Katarzyna Drozda United States
J. L. Anderson United States
Mariana Rodrigues Botton Brazil
Kristen K. Reynolds United States
Hersh Sagreiya United States
Mikael S. Thomsen Denmark
Anna‐Karin Hamberg Sweden
Rita Barallon United Kingdom
Vasudev Kumanduri United Kingdom
MT Lee relative to Ming Ta Michael Lee United States Ming Ta Michael Lee's profile →
Citations per field
00.5×
Ming Ta Michael Lee · 1×
Citations per year

Countries citing papers authored by MT Lee

Since Specialization
Citations

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

Fields of papers citing papers by MT Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside MT Lee, 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 MT Lee Line = papers co-authored together MT Lee links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics‐Guided Warfarin Dosing: 2017 Update
Hit paper breakdown →
2017435
2 20189
3 20007
4 19724
5 20043
6 20143

About MT Lee

MT Lee is a scholar working on Atomic and Molecular Physics, and Optics, Pharmacology, Cellular and Molecular Neuroscience, Social Psychology and Finance, having authored 6 papers that have together received 461 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (1 paper), Quantum and electron transport phenomena (1 paper), Decision-Making and Behavioral Economics (1 paper), Financial Markets and Investment Strategies (1 paper), Advanced Chemical Physics Studies (1 paper), Atomic and Molecular Physics (1 paper), Agronomic Practices and Intercropping Systems (1 paper) and Paranormal Experiences and Beliefs (1 paper). The work is most often cited by research in Pharmacology (319 citations), Pediatrics, Perinatology and Child Health (95 citations), Biochemistry (34 citations), Statistics and Probability (37 citations) and Internal Medicine (13 citations). MT Lee has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Minoli A. Perera, JL Anderson, JA Johnson, Catherine M. Stein, Brian F. Gage, Munir Pirmohamed, Teri E. Klein, Stuart A. Scott, Larisa H. Cavallari and Li Gong. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Journal of Endocrinology, Physical Review B, Journal of Physics B Atomic Molecular and Optical Physics and Investment Analysts Journal.

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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