T. Inaba

6.1k citations
122 papers · 5.2k indexed · 1 hit paper · h-index 37

T. Inaba

120 papers receiving 5.0k citations

Hit Papers

Cytochrome P-450 hPCN3, a Novel Cytochrome P-450 IIIA Gen...4341989202620012013100200300400

Peers

T. Inaba
Comparison fields: 5 of 133
  • Pharmacology 2.7k
  • Toxicology 533
  • Pharmacology 899
  • Oncology 1.3k
  • Clinical Biochemistry 307
Replace W. Kalow with:
W. Kalow Canada
Geoffrey T. Tucker United Kingdom
M. S. Lennard United Kingdom
Chin B. Eap Switzerland
Felix Bochner Australia
Takashi Ishizaki Japan
Juliette Säwe Sweden
Folke Sjöqvist Sweden
Lisa L. von Moltke United States
Stephan Krähenbühl Switzerland
T. Inaba relative to W. Kalow Canada W. Kalow's profile →
Citations per field
00.5×1.5×
W. Kalow · 1×
Citations per year

Countries citing papers authored by T. Inaba

Since Specialization
Citations

This map shows the geographic impact of T. Inaba'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. Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Inaba more than expected).

Fields of papers citing papers by T. Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Inaba. 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. Inaba. The network helps show where T. Inaba may publish in the future.

Co-authorship network

The 25 scholars most cited alongside T. Inaba, 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. Inaba Line = papers co-authored together T. Inaba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200313
2 2002155
3 199975
4 19993
5 199743
6 1997134
7 199526
8 199313
9 19925
10 1991103
11
Study on thymic remnant in the neck in rats: Effects of 6-aminonicotinamide on the incidence in rat fetuses : Abstracts of Papers Presented at the Thirtieth Annual Meeting of the Japanese Teratology Society Miyazaki, Japan, July 12-13, 1990
19901
12 199029
13 19907
14 198926
15 198925
16 198961
17 198831
18 198828
19
Antipyrine metabolites in two populations.
19815
20 197713

About T. Inaba

T. Inaba is a scholar working on Pharmacology, Clinical Biochemistry and Biochemistry, having authored 122 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (45 papers), Drug Transport and Resistance Mechanisms (24 papers), Metabolism and Genetic Disorders (23 papers), Analytical Chemistry and Chromatography (14 papers), Pharmacological Effects and Toxicity Studies (12 papers), Botanical Research and Chemistry (11 papers), Plant-based Medicinal Research (10 papers) and Eicosanoids and Hypertension Pharmacology (8 papers). The work is most often cited by research in Pharmacology (2.7k citations), Toxicology (533 citations) and Pharmacology (899 citations). T. Inaba has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include W. Kalow, S V Otton, W Kalow, Rachel F. Tyndale, David J. Stewart, M Jurima, Frank J. Gonzalez, Edward M. Sellers, Harry V. Gelboin and Urs Meyer. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition, Canadian Journal of Physiology and Pharmacology, British Journal of Clinical Pharmacology and Life Sciences.

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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