T.‐K. Li
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Regulation of Appetite and Obesity
Papers in
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- Neurotransmitter Receptor Influence on Behavior 6
- Neuropeptides and Animal Physiology 3
- Neuroscience and Neuropharmacology Research 3
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- Receptor Mechanisms and Signaling 5
- Co-authors
- Lawrence Lumeng (8 shared papers)William J. McBride (6 shared papers)James M. Murphy (5 shared papers)Kanji Yoshimoto (1 shared paper)Sean O’Connor (1 shared paper)Sandra L. Morzorati (1 shared paper)J.C. Christian (1 shared paper)Robert B. Stewart (2 shared papers)
- Journals
- Alcoholism Clinical and Experimental Research (9 papers)Genes Brain & Behavior (1 paper)PubMed (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
T.‐K. Li
11 papers receiving 949 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 734
- Endocrine and Autonomic Systems 193
- Behavioral Neuroscience 99
- Cognitive Neuroscience 134
- Molecular Biology 445
Countries citing papers authored by T.‐K. Li
This map shows the geographic impact of T.‐K. 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 T.‐K. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.‐K. Li more than expected).
Fields of papers citing papers by T.‐K. Li
This network shows the impact of papers produced by T.‐K. 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 T.‐K. Li. The network helps show where T.‐K. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside T.‐K. 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
| # | Work | ||
|---|---|---|---|
| 1 | A quantitative trait locus for alcohol consumption in selectively bred rat lines. | 1998 | 165 |
| 2 | 1992 | 157 | |
| 3 | 1998 | 143 | |
| 4 | 2001 | 122 | |
| 5 | 1999 | 121 | |
| 6 | 2003 | 58 | |
| 7 | 2004 | 54 | |
| 8 | 2004 | 54 | |
| 9 | 2000 | 52 | |
| 10 | 1986 | 24 | |
| 11 | 2000 | 19 |
About T.‐K. Li
T.‐K. Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Behavioral Neuroscience and Cognitive Neuroscience, having authored 11 papers that have together received 969 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (5 papers), Regulation of Appetite and Obesity (4 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (734 citations), Endocrine and Autonomic Systems (193 citations), Behavioral Neuroscience (99 citations), Cognitive Neuroscience (134 citations) and Molecular Biology (445 citations). T.‐K. Li has collaborated with scholars based in United States and Poland. Frequent co-authors include Lawrence Lumeng, William J. McBride, James M. Murphy, Kanji Yoshimoto, Sean O’Connor, Sandra L. Morzorati, J.C. Christian, Robert B. Stewart, Nancy E. Badia‐Elder and Teresa A. Powrozek. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Genes Brain & Behavior and PubMed.
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.