T.‐K. Li

2.2k citations
31 papers · 1.9k · h-index 21

Impact in

Papers in

T.‐K. Li

31 papers receiving 1.8k citations

Peers

T.‐K. Li
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 796
  • Pathology and Forensic Medicine 663
  • Behavioral Neuroscience 69
  • Biochemistry 105
  • Epidemiology 385
Replace Lutz G. Schmidt with:
Lutz G. Schmidt Germany
Hans Rommelspacher Germany
Salvatore Serra Italy
Francis BOISMARE France
Felice Alfonso Nava Italy
Silvia Lores‐Arnaiz Argentina
David Centurión Mexico
Yosefa Avraham Israel
Lucía Hipólito Spain
Laura Orío Spain
T.‐K. Li relative to Lutz G. Schmidt Germany Lutz G. Schmidt's profile →
Citations per field
00.5×2×2.8×
Lutz G. Schmidt · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988217
2 2000179
3 1994166
4 1982159
5 2004127
6 1998105
7 2001101
8 2002101
9 199894
10 199583
11 199862
12 200059
13 199451
14 199149
15 200945
16 200043
17 199629
18 199228
19 199627
20 199325

About T.‐K. Li

T.‐K. Li is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Biochemistry, Cognitive Neuroscience and Pharmacology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Alcohol Consumption and Health Effects (13 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cannabis and Cannabinoid Research (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (796 citations), Pathology and Forensic Medicine (663 citations), Behavioral Neuroscience (69 citations), Biochemistry (105 citations) and Epidemiology (385 citations). T.‐K. Li has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Lawrence Lumeng, Vijay A. Ramchandani, William John Hannan McBride, Howard J. Edenberg, Lucinda G. Carr, Sean O’Connor, WILLIAM F. BOSRON, Marshall B. Waller, Paul Yien Kwo and Stephen E. Harding. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Pharmacology Biochemistry and Behavior, Genomics, Addiction Biology and The Journal of Clinical 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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