Ikuo Mitsui

627 citations
17 papers · 517 · h-index 11

Impact in

Papers in

    • Cancer Treatment and Pharmacology 5
    • Lung Cancer Research Studies 4
    • Cancer therapeutics and mechanisms 8
    • Protein Degradation and Inhibitors 1

Ikuo Mitsui

17 papers receiving 492 citations

Peers

Ikuo Mitsui
Comparison fields: 5 of 59
  • Toxicology 59
  • Pharmaceutical Science 66
  • Oncology 231
  • Organic Chemistry 189
  • Molecular Biology 311
Replace Satoru Ohsuki with:
Satoru Ohsuki Japan
Eiji Kumazawa Japan
Gwan Sun Lee South Korea
Ligang Qian United States
T Furuta Japan
William P. Pfund United States
Caroline Ballot France
Gino Beggiolin United States
Rajesh Kakadiya Taiwan
Christine Williamson United Kingdom
Ikuo Mitsui relative to Satoru Ohsuki Japan Satoru Ohsuki's profile →
Citations per field
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Satoru Ohsuki · 1×
Citations per year

Countries citing papers authored by Ikuo Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1995134
2 199772
3 199758
4 200053
5 199439
6 199829
7 199924
8 198324
9 198523
10 199721
11 199814
12 19969
13 19986
14 19976
15 19933
16
[In vitro evaluation of anticancer drugs and retrospective clinical trials with the human tumor cloning system].
19851
17
[Subrenal capsule assay--an experimental study and clinical application to chemosensitivity tests].
19871

About Ikuo Mitsui

Ikuo Mitsui is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Toxicology and Cancer Research, having authored 17 papers that have together received 517 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Cancer Treatment and Pharmacology (5 papers), Synthetic Organic Chemistry Methods (4 papers), Lung Cancer Research Studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Synthesis and biological activity (3 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Toxicology (59 citations), Pharmaceutical Science (66 citations), Oncology (231 citations), Organic Chemistry (189 citations) and Molecular Biology (311 citations). Ikuo Mitsui has collaborated with scholars based in Japan and Germany. Frequent co-authors include Akio Ejima, Kouichi Uoto, Satoru Ohsuki, Hirofumi Terasawa, Yasuhide Hirota, Masamichi Sugimori, Keiki Sato, Eiji Kumazawa, Akiko Tohgo and Masashi Aonuma. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, International Journal of Cancer and Anti-Cancer Drugs.

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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