Katsumi Imaida

7.7k citations
251 papers · 6.3k indexed · h-index 41

Katsumi Imaida

250 papers receiving 6.0k citations

Peers

Katsumi Imaida
Comparison fields: 5 of 138
  • Cancer Research 1.9k
  • Biochemistry 482
  • Pharmacology 531
  • Biochemistry 414
  • Health, Toxicology and Mutagenesis 682
Replace Seiko Tamano with:
Seiko Tamano Japan
Vernon E. Steele United States
Nobuyuki Ito Japan
Dai Nakae Japan
Masao Hirose Japan
Akiyoshi Nishikawa Japan
Adrianne E. Rogers United States
Marlin D. Friesen France
Joachim G. Liehr United States
Ronald A. Lubet United States
Katsumi Imaida relative to Seiko Tamano Japan Seiko Tamano's profile →
Citations per field
00.5×3.5×
Seiko Tamano · 1×
Citations per year

Countries citing papers authored by Katsumi Imaida

Since Specialization
Citations

This map shows the geographic impact of Katsumi Imaida'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 Katsumi Imaida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsumi Imaida more than expected).

Fields of papers citing papers by Katsumi Imaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200815
2 200622
3 20056
4 200214
5 200216
6 200126
7 19998
8 19974
9
13-Week Oral Toxicity Study of Pigments Extracted from the Purple Sweet Potato in F344/DuCrj Rats
19976
10 19966
11 199523
12 19958
13 19959
14 199421
15 199334
16 199318
17 198813
18 198824
19
Modifying potential of thirty-one chemicals on the short-term development of gamma-glutamyl transpeptidase-positive foci in diethylnitrosamine-initiated rat liver.
198439
20
Induction of gamma-glutamyl transpeptidase positive foci in rat liver by pyrolysis products of amino acids.
198112

About Katsumi Imaida

Katsumi Imaida is a scholar working on Cancer Research, Biochemistry and Pharmacology, having authored 251 papers that have together received 6.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (44 papers), Genomics, phytochemicals, and oxidative stress (27 papers), Glutathione Transferases and Polymorphisms (21 papers), Drug Transport and Resistance Mechanisms (17 papers), Sulfur Compounds in Biology (17 papers), Pharmacogenetics and Drug Metabolism (13 papers), Prostate Cancer Treatment and Research (13 papers) and Bladder and Urothelial Cancer Treatments (12 papers). The work is most often cited by research in Cancer Research (1.9k citations), Biochemistry (482 citations) and Pharmacology (531 citations). Katsumi Imaida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nobuyuki Ito, Tomoyuki Shirai, Shoji Fukushima, Nobuyuki Ito, Seiko Tamano, Masae Tatematsu, Hiroyuki Tsuda, Ryohei Hasegawa, Tsuneo Masui and Masao Hirose. Their work appears in journals such as Carcinogenesis, Cancer Letters, Toxicologic Pathology, Food and Chemical Toxicology and Experimental and Toxicologic Pathology.

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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