M T M Lee

841 total citations
6 papers, 471 citations indexed

About

M T M Lee is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, M T M Lee has authored 6 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Pharmacology. Recurrent topics in M T M Lee's work include Pharmacogenetics and Drug Metabolism (3 papers), Drug-Induced Adverse Reactions (3 papers) and Pharmaceutical studies and practices (3 papers). M T M Lee is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Drug-Induced Adverse Reactions (3 papers) and Pharmaceutical studies and practices (3 papers). M T M Lee collaborates with scholars based in Taiwan, United States and Japan. M T M Lee's co-authors include Teri E. Klein, Kelly E. Caudle, Wichittra Tassaneeyakul, John T. Callaghan, Caroline F. Thorn, Taisei Mushiroda, Michelle Whirl‐Carrillo, J. Callaghan, Allan E. Rettie and Scott Mintzer and has published in prestigious journals such as Human Molecular Genetics, Clinical Pharmacology & Therapeutics and Biomedical Journal.

In The Last Decade

M T M Lee

6 papers receiving 458 citations

Peers

M T M Lee
Comparison fields: 5 of 72
  • Pharmacology 201
  • Pharmacology 174
  • Pediatrics, Perinatology and Child Health 145
  • Rheumatology 77
  • Genetics 74
Replace Hoi Y. Tong with:
Hoi Y. Tong Spain
Toru Usui Japan
Ming Ta Michael Lee United States
Klaus Moerike Germany
Craig Lammert United States
Daiki Tsuji Japan
Masaya Itoda Japan
Marianne Keisu Sweden
Shunji Matsuki Japan
Hugo Kohnke Sweden
Hoi Y. Tong Spain View profile →
Citations per field, relative to M T M Lee
M T M Lee · 1×
Citations per year, relative to M T M Lee
M T M Lee · 1×

Countries citing papers authored by M T M Lee

Since Specialization
Citations

This map shows the geographic impact of M T 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 M T 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 M T M Lee more than expected).

Fields of papers citing papers by M T M Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M T M Lee

This figure shows the co-authorship network connecting the top 25 collaborators of M T M Lee. A scholar is included among the top collaborators of M T M Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M T M Lee. M T M Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1
Clinical pharmacogenetics implementation consortium guidelines for CYP2C9 and HLA-B genotypes and phenytoin dosing.
6
2 4
3 163
4 65
5 57
6 176

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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