Eisuke Gotoh

716 citations
30 papers · 624 · h-index 13

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 7
    • DNA Repair Mechanisms 14
    • Genomics and Chromatin Dynamics 5
    • DNA and Nucleic Acid Chemistry 4
    • CRISPR and Genetic Engineering 2

Eisuke Gotoh

28 papers receiving 587 citations

Peers

Eisuke Gotoh
Comparison fields: 5 of 63
  • Cancer Research 218
  • Molecular Biology 443
  • Cell Biology 72
  • Radiology, Nuclear Medicine and Imaging 91
  • Plant Science 129
Replace Mohammed M. Shareef with:
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Hongtao Jia China
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Juliane Merl Germany
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Michael M. Vilenchik United States
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T. Volm Germany
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Citations per year

Countries citing papers authored by Eisuke Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199589
2 199972
3 200667
4 199957
5 199951
6 200541
7 198836
8 200530
9 200729
10 200228
11 199724
12 200523
13 200913
14
Chromosomal assignment of human VIP/PHM-27 gene to 6q26----q27 region by spot blot hybridization and in situ hybridization.
198811
15 201511
16 20068
17 20096
18 20196
19 19984
20 20044

About Eisuke Gotoh

Eisuke Gotoh is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Plant Science and Oncology, having authored 30 papers that have together received 624 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (14 papers), Carcinogens and Genotoxicity Assessment (7 papers), Microtubule and mitosis dynamics (6 papers), Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Plant Genetic and Mutation Studies (4 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (443 citations), Cell Biology (72 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Plant Science (129 citations). Eisuke Gotoh has collaborated with scholars based in Japan, United Kingdom and Israel. Frequent co-authors include Marco Durante, Hiroshi Kosaka, T. Kawata, Yoshiya Furusawa, Kaoru Takakura, Hideyuki J. Majima, Hiroshi Yamamoto, Sayuri Ito, Ann M. Mullinger and Yosef Shiloh. Their work appears in journals such as International Journal of Radiation Biology, Journal of General Virology, Radiation Research, Journal of Cellular Physiology and Mutagenesis.

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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