Ming D. Li
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
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- Neurotransmitter Receptor Influence on Behavior
Papers in ⓘ
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- Nicotinic Acetylcholine Receptors Study 67
- Receptor Mechanisms and Signaling 22
- Epigenetics and DNA Methylation 14
- Physiology 47
- Smoking Behavior and Cessation 40
- Co-authors
- Z. Jennie (45 shared papers)Thomas J. Payne (41 shared papers)Weihua Huang (11 shared papers)Robert C. Elston (14 shared papers)Xiang‐Yang Lou (10 shared papers)Joke Beuten (10 shared papers)Zhongli Yang (43 shared papers)Guo‐Bo Chen (7 shared papers)
- Journals
- Human Genetics (11 papers)Frontiers in Psychiatry (10 papers)Alcoholism Clinical and Experimental Research (8 papers)Neuropsychopharmacology (8 papers)Journal of Neuroimmune Pharmacology (7 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ming D. Li
174 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 149
- Biological Psychiatry 325
- Cellular and Molecular Neuroscience 1.3k
- Physiology 1.5k
- Molecular Biology 3.0k
- Genetics 1.1k
Countries citing papers authored by Ming D. Li
This map shows the geographic impact of Ming D. Li'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 D. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming D. Li more than expected).
Fields of papers citing papers by Ming D. Li
This network shows the impact of papers produced by Ming D. Li. 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 D. Li. The network helps show where Ming D. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming D. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 471 | |
| 2 | 2002 | 404 | |
| 3 | 2009 | 156 | |
| 4 | 2005 | 154 | |
| 5 | 2011 | 132 | |
| 6 | 2020 | 112 | |
| 7 | 2005 | 112 | |
| 8 | 2021 | 107 | |
| 9 | 2015 | 107 | |
| 10 | 2000 | 106 | |
| 11 | 2008 | 103 | |
| 12 | 2009 | 98 | |
| 13 | 2006 | 95 | |
| 14 | 2007 | 86 | |
| 15 | 2003 | 79 | |
| 16 | 2008 | 78 | |
| 17 | 2005 | 74 | |
| 18 | 2008 | 73 | |
| 19 | 2013 | 73 | |
| 20 | 2011 | 70 |
About Ming D. Li
Ming D. Li is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 179 papers that have together received 5.8k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (67 papers), Smoking Behavior and Cessation (40 papers), Genetic Associations and Epidemiology (27 papers), Receptor Mechanisms and Signaling (22 papers), Neurotransmitter Receptor Influence on Behavior (21 papers), Biochemical Analysis and Sensing Techniques (20 papers), Epigenetics and DNA Methylation (14 papers) and Alcohol Consumption and Health Effects (12 papers). The work is most often cited by research in Biological Psychiatry (325 citations), Cellular and Molecular Neuroscience (1.3k citations), Physiology (1.5k citations), Molecular Biology (3.0k citations) and Genetics (1.1k citations). Ming D. Li has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Z. Jennie, Thomas J. Payne, Weihua Huang, Robert C. Elston, Xiang‐Yang Lou, Joke Beuten, Zhongli Yang, Guo‐Bo Chen, Gary E. Swan and Rong Cheng. Their work appears in journals such as Human Genetics, Frontiers in Psychiatry, Alcoholism Clinical and Experimental Research, Neuropsychopharmacology and Journal of Neuroimmune Pharmacology.
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.