T.‐K. Li

2.2k citations
29 papers · 1.7k indexed · h-index 21

Impact in

Papers in

T.‐K. Li

29 papers receiving 1.6k citations

Peers

T.‐K. Li
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 805
  • Pathology and Forensic Medicine 660
  • Behavioral Neuroscience 79
  • Biochemistry 121
  • Epidemiology 465
Replace Lutz G. Schmidt with:
Lutz G. Schmidt Germany
H. Rommelspacher Germany
Salvatore Serra Italy
Yosefa Avraham Israel
Mikko Uusi‐Oukari Finland
Laura Orío Spain
Raquel Gómez de Heras Spain
Lucía Hipólito Spain
Carina Rodrigues Boeck Brazil
Maria Tattoli Italy
T.‐K. Li relative to Lutz G. Schmidt Germany Lutz G. Schmidt's profile →
Citations per field
00.5×1.5×2.3×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988210
2 2000176
3 1982149
4 1994125
5 2004118
6 200192
7 200290
8 199884
9 199580
10 200059
11 199858
12 199147
13 199445
14 200042
15 200939
16 199627
17 199227
18 199425
19 199325
20 199624

About T.‐K. Li

T.‐K. Li is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Biochemistry, Behavioral Neuroscience and Pharmacology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (17 papers), Alcohol Consumption and Health Effects (14 papers), Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Substance Abuse Treatment and Outcomes (3 papers), Cannabis and Cannabinoid Research (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Alcoholism and Thiamine Deficiency (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (805 citations), Pathology and Forensic Medicine (660 citations), Behavioral Neuroscience (79 citations), Biochemistry (121 citations) and Epidemiology (465 citations). T.‐K. Li has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Lawrence Lumeng, Vijay A. Ramchandani, William J. McBride, Howard J. Edenberg, Lucinda G. Carr, Sean O’Connor, William Bosron, M.B. Waller, Paul Y. Kwo and Anh D. Lê. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Pharmacology Biochemistry and Behavior, Addiction Biology, The Journal of Clinical Pharmacology and Genomics.

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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