Jun‐ichi Akagi

1.2k citations
38 papers · 992 · h-index 14

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation

Papers in

    • DNA Repair Mechanisms 14
    • Genomics, phytochemicals, and oxidative stress 6
    • CRISPR and Genetic Engineering 5
    • Glutathione Transferases and Polymorphisms 4
    • Carcinogens and Genotoxicity Assessment 15

Jun‐ichi Akagi

37 papers receiving 978 citations

Peers

Jun‐ichi Akagi
Comparison fields: 5 of 106
  • Cancer Research 240
  • Molecular Biology 602
  • Aging 8
  • Pharmacology 38
  • Toxicology 13
Replace Qiufang Chen with:
Qiufang Chen China
Jianfu Zhao China
Han-Oh Park South Korea
Lanlan Wang China
Nosheen Masood Pakistan
Somayeh Vandghanooni Iran
Sanjay Gupta India
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Jun‐ichi Akagi

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Akagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Akagi. 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 Jun‐ichi Akagi. The network helps show where Jun‐ichi Akagi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004222
2 2009153
3 2017131
4 198071
5 200950
6 201242
7 199639
8 201530
9 201530
10 201320
11 202018
12 202315
13 201814
14 201514
15 201213
16 201413
17 201512
18 201912
19 201411
20 201610

About Jun‐ichi Akagi

Jun‐ichi Akagi is a scholar working on Molecular Biology, Cancer Research, Surgery, Pharmacology and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 992 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (15 papers), DNA Repair Mechanisms (14 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), CRISPR and Genetic Engineering (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Cancer Research (240 citations), Molecular Biology (602 citations), Aging (8 citations), Pharmacology (38 citations) and Toxicology (13 citations). Jun‐ichi Akagi has collaborated with scholars based in Japan, Sri Lanka and Netherlands. Frequent co-authors include Fumio Hanaoka, Takeshi Toyoda, Young‐Man Cho, Kumiko Ogawa, Yasuko Mizuta, Haruo Ohmori, Eiji Ohashi, Chikahide Masutani, Shigenori Iwai and Kaoru Sugasawa. Their work appears in journals such as Food and Chemical Toxicology, DNA repair, Regulatory Toxicology and Pharmacology, Journal of Biological Chemistry and Cancer Science.

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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