T.‐K. Li

1.1k citations
11 papers · 969 indexed · h-index 11

T.‐K. Li

11 papers receiving 949 citations

Peers

T.‐K. Li
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 734
  • Endocrine and Autonomic Systems 193
  • Behavioral Neuroscience 99
  • Cognitive Neuroscience 134
  • Molecular Biology 445
Replace Christopher L. Hubbell with:
Christopher L. Hubbell United States
Nancy E. Badia‐Elder United States
Peter W. Marinelli Canada
T.-K. Li United States
Kelly A. Kuc United States
Amanda L. Sharpe United States
Anna Molander Sweden
Francine E. Lancaster United States
Elena Krstew Australia
A. Cadete‐Leite Portugal
T.‐K. Li relative to Christopher L. Hubbell United States Christopher L. Hubbell's profile →
Citations per field
00.5×1.5×
Christopher L. Hubbell · 1×
Citations per year

Countries citing papers authored by T.‐K. Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

11 of 11 papers shown
#Work
1 200454
2 200454
3 200358
4 2001122
5 200019
6 200052
7 1999121
8 1998143
9
A quantitative trait locus for alcohol consumption in selectively bred rat lines.
1998165
10 1992157
11 198624

About T.‐K. Li

T.‐K. Li is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Developmental Neuroscience and Sensory Systems, 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), Neuroscience and Neuropharmacology Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Hormonal and reproductive studies (1 paper), Stress Responses and Cortisol (1 paper) and Neurogenesis and neuroplasticity mechanisms (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, Sandra L. Morzorati, J.C. Christian, Sean O’Connor, Teresa A. Powrozek, Nancy E. Badia‐Elder and Robert B. Stewart. 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.

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