Ming‐Tain Lai
- Virology top 2%
- HIV Research and Treatment 21
- Physiology top 1%
- Alzheimer's disease research and treatments 12
- Pharmacology top 2%
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- Computational Drug Discovery Methods 8
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment 24
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- Biochemical and Molecular Research 11
- Protein Structure and Dynamics 5
- Chemical Synthesis and Analysis 5
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Jules A. ShaferStephen J. GardellYue‐Ming LiXiao‐Ping ShiQian HuangMin XuKuo‐Chang YinMohinder K. Sardana
- Cited by
- VirologyPhysiologyPharmacology
- Journals
- Bioorganic & Medicinal Chemistry Letters (9 papers)Antimicrobial Agents and Chemotherapy (9 papers)Analytical Biochemistry (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Ming‐Tain Lai
55 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Virology 411
- Physiology 1.3k
- Pharmacology 555
- Computational Theory and Mathematics 493
- Infectious Diseases 503
Countries citing papers authored by Ming‐Tain Lai
This map shows the geographic impact of Ming‐Tain Lai'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‐Tain Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Tain Lai more than expected).
Fields of papers citing papers by Ming‐Tain Lai
This network shows the impact of papers produced by Ming‐Tain Lai. 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‐Tain Lai. The network helps show where Ming‐Tain Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Tain Lai, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 23 | |
| 4 | 2018 | 2 | |
| 5 | 2017 | 6 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 18 | |
| 8 | 2010 | 10 | |
| 9 | 2010 | 10 | |
| 10 | 2010 | 4 | |
| 11 | 2009 | 49 | |
| 12 | 2006 | 17 | |
| 13 | 2006 | 35 | |
| 14 | 2006 | 45 | |
| 15 | 2005 | 55 | |
| 16 | 2005 | 37 | |
| 17 | 2003 | 136 | |
| 18 | 2002 | 25 | |
| 19 | 2001 | 104 | |
| 20 | 1997 | 44 |
About Ming‐Tain Lai
Ming‐Tain Lai is a scholar working on Virology, Infectious Diseases, Molecular Biology, Computational Theory and Mathematics and Physiology, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (24 papers), HIV Research and Treatment (21 papers), Alzheimer's disease research and treatments (12 papers), Biochemical and Molecular Research (11 papers), Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Virology (411 citations), Physiology (1.3k citations), Pharmacology (555 citations), Computational Theory and Mathematics (493 citations) and Infectious Diseases (503 citations). Ming‐Tain Lai has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jules A. Shafer, Stephen J. Gardell, Yue‐Ming Li, Xiao‐Ping Shi, Qian Huang, Min Xu, Kuo‐Chang Yin, Mohinder K. Sardana, Daria J. Hazuda and R B Register. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy, Analytical Biochemistry, Neurobiology of Aging and Journal of Biological Chemistry.
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.