T.-K. Li

2.8k citations
30 papers · 2.6k · h-index 22

Impact in

Papers in

T.-K. Li

30 papers receiving 2.5k citations

Peers

T.-K. Li
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 1.9k
  • Behavioral Neuroscience 221
  • Endocrine and Autonomic Systems 171
  • Biological Psychiatry 38
  • Cognitive Neuroscience 315
Replace Janice C. Froehlich with:
Janice C. Froehlich United States
Lawrence D. Middaugh United States
G L Gessa Italy
Frank R. George United States
J. Engel Sweden
Stephen L. Boehm United States
Fred O. Risinger United States
M.B. Waller United States
Giampaolo Mereu Italy
T.-K. Li United States
T.-K. Li relative to Janice C. Froehlich United States Janice C. Froehlich's profile →
Citations per field
00.5×1.5×
Janice C. Froehlich · 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-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.

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

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987275
2 1994243
3 1993239
4 1986202
5 1989168
6 1986164
7 1999139
8 1988131
9 1985130
10 1989105
11 200197
12 198782
13 200371
14 200870
15 199467
16 198755
17 198355
18 199647
19 200629
20 200229

About T.-K. Li

T.-K. Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Nutrition and Dietetics, Physiology and Epidemiology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Adipose Tissue and Metabolism (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Cannabis and Cannabinoid Research (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Behavioral Neuroscience (221 citations), Endocrine and Autonomic Systems (171 citations), Biological Psychiatry (38 citations) and Cognitive Neuroscience (315 citations). T.-K. Li has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include Lawrence Lumeng, James M. Murphy, William J. McBride, Gregory J. Gatto, M.B. Waller, Robert B. Stewart, Nicholas J. Grahame, Janice C. Froehlich, L. Lumeng and James M. Murphy. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Alcohol, Alcoholism Clinical and Experimental Research, Addiction Biology and Recent developments in alcoholism.

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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