Ming Ta Michael Lee

18.8k total citations
33 papers, 1.0k citations indexed

About

Ming Ta Michael Lee is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Ming Ta Michael Lee has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Ming Ta Michael Lee's work include Genetic Associations and Epidemiology (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Cancer-related molecular mechanisms research (4 papers). Ming Ta Michael Lee is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Cancer-related molecular mechanisms research (4 papers). Ming Ta Michael Lee collaborates with scholars based in United States, Taiwan and Japan. Ming Ta Michael Lee's co-authors include Chien‐Hsiun Chen, Yanfei Zhang, Naoshi Fukui, Yuan-Tsong Chen, Mia Wadelius, Jae‐Gook Shin, Julie A. Johnson, Michael J. Wagner, Teri E. Klein and Stephen E. Kimmel and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Ming Ta Michael Lee

32 papers receiving 992 citations

Peers

Ming Ta Michael Lee

PHARM

GENET

RHEUM

Nathalie Gérard France

Oreste E. Salavaggione United States

Wendy A. Teft Canada

Zhousheng Xiao China

Kwi Hye Koh United States

Briggs Morrison United States

Mohamed‐Eslam F. Mohamed United States

Marisa Cañadas‐Garre Spain

Emiko Sugiyama Japan

Steven S. Chua United States

Nathalie Gérard France

Ming Ta Michael Lee

304 ×0.9

337 ×1.2

PHARM

160 ×0.7

GENET

30 ×0.2

RHEUM

59 ×0.5

Citations per year, relative to Ming Ta Michael Lee Ming Ta Michael Lee (= 1×) peers Nathalie Gérard

Countries citing papers authored by Ming Ta Michael Lee

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ming Ta Michael Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ta Michael Lee. A scholar is included among the top collaborators of Ming Ta Michael 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 Ming Ta Michael Lee. Ming Ta Michael 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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20 of 20 papers shown

Moreno–Grau, Sonia, Arturo López Pineda, Daniel Mas Montserrat, et al.. (2024). Polygenic risk score portability for common diseases across genetically diverse populations. Human Genomics. 18(1). 93–93. 9 indexed citations

Moreno–Grau, Sonia, Agustin Rojas‐Muñoz, Ming Ta Michael Lee, et al.. (2022). Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research. Human Genomics. 16(1). 37–37. 2 indexed citations

Zhang, Yanfei & Ming Ta Michael Lee. (2021). Serum Urate Polygenic Risk Score Can Improve Gout Risk Prediction: A Large-Scale Cohort Study. Frontiers in Genetics. 11. 604219–604219. 2 indexed citations

Li, Jiang, Yanfei Zhang, Donna M. Wolk, et al.. (2021). Variants at the MHC Region Associate With Susceptibility to Clostridioides difficile Infection: A Genome-Wide Association Study Using Comprehensive Electronic Health Records. Frontiers in Immunology. 12. 638913–638913. 6 indexed citations

Abedi, Vida, Jiang Li, Manu Shivakumar, et al.. (2020). Increasing the Density of Laboratory Measures for Machine Learning Applications. Journal of Clinical Medicine. 10(1). 103–103. 10 indexed citations

Zhang, Yanfei, S. Mark Poler, Jiang Li, et al.. (2019). Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. BMC Medicine. 17(1). 168–168. 9 indexed citations

Zhang, Yanfei, Waleed Zafar, Dustin N. Hartzel, et al.. (2019). GSTM1 Copy Number Is Not Associated With Risk of Kidney Failure in a Large Cohort. Frontiers in Genetics. 10. 765–765. 3 indexed citations

Verma, Anurag, Jason E. Miller, Yanfei Zhang, et al.. (2018). Human-Disease Phenotype Map Derived from PheWAS across 38,682 Individuals. The American Journal of Human Genetics. 104(1). 55–64. 38 indexed citations

Liu, Yujing, Jen-Chien Chang, Chung-Chau Hon, et al.. (2018). Chromatin accessibility landscape of articular knee cartilage reveals aberrant enhancer regulation in osteoarthritis. Scientific Reports. 8(1). 15499–15499. 39 indexed citations

10.

Lee, Tsong-Hai, Tai‐Ming Ko, Chien‐Hsiun Chen, et al.. (2017). A genome-wide association study links small-vessel ischemic stroke to autophagy. Scientific Reports. 7(1). 15229–15229. 17 indexed citations

11.

Chang, Chia-Jung, Chien‐Hsiun Chen, Bing-Mae Chen, et al.. (2017). A genome-wide association study identifies a novel susceptibility locus for the immunogenicity of polyethylene glycol. Nature Communications. 8(1). 522–522. 56 indexed citations

12.

Lee, Ming Ta Michael, Atsushi Takahashi, Yanfei Zhang, et al.. (2016). Genome-wide association and replication study of anti-tuberculosis drugs-induced liver toxicity. BMC Genomics. 17(1). 755–755. 38 indexed citations

13.

Zhang, Yanfei, Naoshi Fukui, Yozo Katsuragawa, et al.. (2016). Identification of DNA methylation changes associated with disease progression in subchondral bone with site-matched cartilage in knee osteoarthritis. Scientific Reports. 6(1). 34460–34460. 35 indexed citations

14.

Fukui, Naoshi, et al.. (2015). Genome-wide DNA methylation profile implicates potential cartilage regeneration at the late stage of knee osteoarthritis. Osteoarthritis and Cartilage. 24(5). 835–843. 39 indexed citations

15.

Mitropoulos, Konstantinos, Diego A. Forero, Paul Laissue, et al.. (2015). Success stories in genomic medicine from resource-limited countries. Human Genomics. 9(1). 11–11. 40 indexed citations

16.

Okano, Yasuko, Ming Ta Michael Lee, Alexander Lezhava, et al.. (2013). SNP (–617C>A) in ARE-Like Loci of the NRF2 Gene: A New Biomarker for Prognosis of Lung Adenocarcinoma in Japanese Non-Smoking Women. PLoS ONE. 8(9). e73794–e73794. 39 indexed citations

17.

Nakajima, Masahiro, Dongquan Shi, Jin Dai, et al.. (2012). A large‐scale replication study for the association of rs17039192 in HIF‐2α with knee osteoarthritis. Journal of Orthopaedic Research®. 30(8). 1244–1248. 16 indexed citations

18.

Liu, Hwa‐Chang, Jer-Yuarn Wu, Sing‐Chung Li, et al.. (2011). A Mutation in Cartilage Oligomeric Matrix Protein (COMP) Causes Early-Onset Osteoarthritis in a Large Kindred Study. Annals of Human Genetics. 75(5). 575–583. 6 indexed citations

19.

Lee, Ming Ta Michael, Anne Chun-Hui Tsai, Ching‐Heng Chou, et al.. (2008). Intragenic microdeletion of RUNX2 is a novel mechanism for cleidocranial dysplasia. PubMed. 2(1-2). 45–49. 18 indexed citations

20.

Li, Ling-Hui, Chien‐Hsiun Chen, Wen‐Hung Chung, et al.. (2006). Long contiguous stretches of homozygosity in the human genome. Human Mutation. 27(11). 1115–1121. 89 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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