Ming D. Li

8.5k citations
192 papers · 6.1k · h-index 43

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 69
    • Receptor Mechanisms and Signaling 20
    • Epigenetics and DNA Methylation 11
    • Smoking Behavior and Cessation 35

Ming D. Li

185 papers receiving 6.0k citations

Peers

Ming D. Li
Comparison fields: 5 of 148
  • Biological Psychiatry 262
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 1.3k
  • Molecular Biology 2.8k
  • Virology 173
Replace Robert K. Naviaux with:
Robert K. Naviaux United States
Ke Xu United States
David A. Nielsen United States
Robert H. Lipsky United States
Marco Aurélio Romano‐Silva Brazil
Manuel Sánchez-Alavez United States
Vishwajit L. Nimgaonkar United States
Nigel Williams United Kingdom
Josep M. Mercader Spain
Magnus Sjögren Sweden
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Citations per field
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Robert K. Naviaux · 1×
Citations per year

Countries citing papers authored by Ming D. Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming D. Li Line = papers co-authored together Ming D. Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007479
2 2002424
3 2009168
4 2005158
5 2011138
6 2005120
7 2021115
8 2020115
9 2015112
10 2008111
11 2000106
12 2009101
13 2006100
14 200791
15 200385
16 200882
17 200582
18 200877
19 201176
20 201375

About Ming D. Li

Ming D. Li is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 192 papers that have together received 6.1k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (69 papers), Smoking Behavior and Cessation (35 papers), Genetic Associations and Epidemiology (24 papers), Biochemical Analysis and Sensing Techniques (21 papers), Receptor Mechanisms and Signaling (20 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Epigenetics and DNA Methylation (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Biological Psychiatry (262 citations), Cellular and Molecular Neuroscience (1.2k citations), Physiology (1.3k citations), Molecular Biology (2.8k citations) and Virology (173 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, Rong Cheng and Gary E. Swan. Their work appears in journals such as Human Genetics, Frontiers in Psychiatry, Neuropsychopharmacology, Alcoholism Clinical and Experimental Research 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.

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