Takashi Yamoto

862 citations
53 papers · 689 indexed · h-index 16

Takashi Yamoto

52 papers receiving 673 citations

Peers

Takashi Yamoto
Comparison fields: 5 of 91
  • Pharmacology 172
  • Hepatology 55
  • Cancer Research 83
  • Molecular Biology 329
  • Biochemistry 34
Replace Naoki Kiyosawa with:
Naoki Kiyosawa Japan
Thomas K. Baker United States
Bhanu Singh United States
B. O. Depelchin Belgium
David Mitchell United States
S. Rieke Germany
Daniela Ennulat United States
Yoshitaka Tomigahara Japan
Bob Thoolen Netherlands
Steven J. Bulera United States
Takashi Yamoto relative to Naoki Kiyosawa Japan Naoki Kiyosawa's profile →
Citations per field
00.5×1.5×
Naoki Kiyosawa · 1×
Citations per year

Countries citing papers authored by Takashi Yamoto

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Yamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20109
2 201010
3 201016
4 200910
5 200715
6 200717
7 200515
8 200535
9 200419
10 200422
11 200426
12
T-2 toxin-induced toxicity in pregnant rats:histopathology and gene expression profiles
20031
13 19965
14 199512
15 19948
16 19947
17
322 RELATION BETWEEN CYTOCHRONE P-450 FAMILIES AND THE INDUCTION PROFILE OF 7-ALKOXYCOUMARIN O-DEALKYLASE ACTIVITIES IN RAT LIVER BY SEVERAL CHEMICALS
19921
18 19922
19 19929
20
Energy Loss Electron Spectrometric Analysis of the Histochemical Reaction Products II. : Calcium-pyroantimonate.
19840

About Takashi Yamoto

Takashi Yamoto is a scholar working on Pharmacology, Cancer Research and Molecular Biology, having authored 53 papers that have together received 689 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Glutathione Transferases and Polymorphisms (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Computational Drug Discovery Methods (6 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Pharmacology (172 citations), Hepatology (55 citations) and Cancer Research (83 citations). Takashi Yamoto has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Sunao Manabe, Naoki Kiyosawa, Kazumi Ito, Yukio Ando, Munehiro Teranishi, Kazuyoshi Kumagai, Hiroyuki Nakayama, Kazunori Fujimoto, Shingo Arakawa and Koji Uetsuka. Their work appears in journals such as International Journal of Molecular Sciences, Biochemical Pharmacology and Food and Chemical Toxicology.

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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