MT Lee

707 total citations · 1 hit paper
6 papers, 461 citations indexed

About

MT Lee is a scholar working on Atomic and Molecular Physics, and Optics, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, MT Lee has authored 6 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atomic and Molecular Physics, and Optics, 1 paper in Pharmacology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in MT Lee's work include Hypothalamic control of reproductive hormones (1 paper), Financial Markets and Investment Strategies (1 paper) and Agronomic Practices and Intercropping Systems (1 paper). MT Lee is often cited by papers focused on Hypothalamic control of reproductive hormones (1 paper), Financial Markets and Investment Strategies (1 paper) and Agronomic Practices and Intercropping Systems (1 paper). MT Lee collaborates with scholars based in Taiwan, United States and Brazil. MT Lee's co-authors include Michelle Whirl‐Carrillo, Larisa H. Cavallari, Catherine M. Stein, Teri E. Klein, Li Gong, JA Johnson, Stuart A. Scott, Brian F. Gage, Minoli A. Perera and JL Anderson and has published in prestigious journals such as Physical Review B, Clinical Pharmacology & Therapeutics and Journal of Endocrinology.

In The Last Decade

MT Lee

6 papers receiving 447 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics‐Guided Warfarin Dosing: 2017 Update

2017 435 citations JA Johnson, Li Gong et al. Clinical Pharmacology & Therapeutics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
MT Lee Taiwan	4	319	95	76	75	62	6	461
Katarzyna Drozda United States	11	337 1.1×	110 1.2×	56 0.7×	47 0.6×	66 1.1×	16	440
Ming Ta Michael Lee United States	11	246 0.8×	75 0.8×	62 0.8×	78 1.0×	62 1.0×	16	452
J. L. Anderson United States	2	372 1.2×	88 0.9×	69 0.9×	146 1.9×	82 1.3×	4	606
Mariana Rodrigues Botton Brazil	14	307 1.0×	127 1.3×	106 1.4×	78 1.0×	99 1.6×	36	592
Toby Nicholson United Kingdom	2	394 1.2×	84 0.9×	75 1.0×	198 2.6×	76 1.2×	4	606
Arthur F. Harralson United States	14	180 0.6×	94 1.0×	105 1.4×	44 0.6×	62 1.0×	31	525
B Wahlström Sweden	5	395 1.2×	84 0.9×	76 1.0×	205 2.7×	98 1.6×	6	657
Rita Barallon United Kingdom	6	218 0.7×	44 0.5×	70 0.9×	102 1.4×	76 1.2×	9	427
Hersh Sagreiya United States	12	286 0.9×	41 0.4×	84 1.1×	75 1.0×	77 1.2×	27	589
Vasudev Kumanduri United Kingdom	3	373 1.2×	39 0.4×	83 1.1×	83 1.1×	135 2.2×	3	516

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-authorship network of co-authors of MT Lee

This figure shows the co-authorship network connecting the top 25 collaborators of MT Lee. A scholar is included among the top collaborators of MT 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 MT Lee. MT Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Khakoo, M. A., Marcos Antônio Machado, Robert R. Lucchese, et al.. (2018). Low to intermediate energy elastic electron scattering from dichloromethane (CH ₂ Cl ₂ ). Journal of Physics B Atomic Molecular and Optical Physics. 52(2). 25204–25204. 9 indexed citations

2.

Johnson, JA, Li Gong, Michelle Whirl‐Carrillo, et al.. (2017). Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics‐Guided Warfarin Dosing: 2017 Update. Clinical Pharmacology & Therapeutics. 102(3). 397–404. 435 indexed citations breakdown →

3.

Lee, MT, et al.. (2014). Do lunar phases affect US REIT returns?. Investment Analysts Journal. 43(79). 67–78. 3 indexed citations

4.

Hai, G.‐Q., et al.. (2004). Low-temperature electron mobilities due to ionized-impurity scattering in multisubband two-dimensional semiconductor systems. Physical Review B. 70(19). 3 indexed citations

5.

Lee, MT, et al.. (2000). Pituitary adenylate cyclase-activating polypeptide acts synergistically with relaxin in modulating ovarian cell function in rats. Journal of Endocrinology. 167(1). 61–69. 7 indexed citations

6.

Lee, MT & GL Wilson. (1972). The calcium and pH components of lime responses in tropical legumes. Australian Journal of Agricultural Research. 23(2). 257–265. 4 indexed citations

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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