T.-K. Li

624 citations
11 papers · 456 indexed · h-index 7

T.-K. Li

11 papers receiving 436 citations

Peers

T.-K. Li
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 222
  • Biochemistry 57
  • Behavioral Neuroscience 24
  • Cellular and Molecular Neuroscience 98
  • Endocrine and Autonomic Systems 31
Replace Takehito Okubo with:
Takehito Okubo Japan
Jyrki Rintala Finland
Carlton Smith United States
Anna Taylor United States
Susan L.F. Chan United Kingdom
Jan P.C. Heiligers Netherlands
G Dordain France
Roland Sakiyama United States
A Marino Italy
S E Perry United States
T.-K. Li relative to Takehito Okubo Japan Takehito Okubo's profile →
Citations per field
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Takehito Okubo · 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 200355
2 200375
3 20013
4 19991
5 19981
6 19981
7 1993154
8 19908
9 198794
10 198018
11 196946

About T.-K. Li

T.-K. Li is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems, Biochemistry, Cellular and Molecular Neuroscience and Pharmacology, having authored 11 papers that have together received 456 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (4 papers), Stress Responses and Cortisol (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Neuropeptides and Animal Physiology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (222 citations), Biochemistry (57 citations), Behavioral Neuroscience (24 citations), Cellular and Molecular Neuroscience (98 citations) and Endocrine and Autonomic Systems (31 citations). T.-K. Li has collaborated with scholars based in United States and Sweden. Frequent co-authors include William Bosron, Torsten Ehrig, David W. Crabb, Nancy E. Badia‐Elder, Teresa A. Powrozek, Robert B. Stewart, James M. Murphy, Bert L. Vallée, Hugo Theorell and Howard J. Ringold. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Seminars in Liver Disease, Nature, Pharmacology & Therapeutics and Advances in experimental medicine and biology.

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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