Michimoto Kobayashi

31 total papers · 816 total citations
14 papers, 621 citations indexed

About

Michimoto Kobayashi is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Michimoto Kobayashi has authored 14 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in Michimoto Kobayashi's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Caveolin-1 and cellular processes (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Michimoto Kobayashi is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Caveolin-1 and cellular processes (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Michimoto Kobayashi collaborates with scholars based in Japan, Thailand and United Kingdom. Michimoto Kobayashi's co-authors include Yasuhisa Fukui, Sayoko Ihara, Satoshi Nagata, Hiroaki Konishi, Hideo Iba, Shinya Kuroda, Motoyasu Ui, Yoshihiro Kita, Ushio Kikkawa and Kozo Kaibuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Michimoto Kobayashi

13 papers receiving 613 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michimoto Kobayashi 417 113 100 87 65 14 621
Kang‐Sik Park 335 0.8× 48 0.4× 101 1.0× 94 1.1× 33 0.5× 19 606
Dirk H. Siepe 417 1.0× 108 1.0× 91 0.9× 44 0.5× 52 0.8× 11 559
Monica Faronato 493 1.2× 164 1.5× 135 1.4× 103 1.2× 55 0.8× 15 703
Valérie Pawlowski 401 1.0× 213 1.9× 140 1.4× 39 0.4× 85 1.3× 17 748
Ronald C. Bruntz 468 1.1× 63 0.6× 49 0.5× 75 0.9× 39 0.6× 13 666
Simona Moretti 400 1.0× 96 0.8× 187 1.9× 64 0.7× 27 0.4× 13 699
John L. Andrews 449 1.1× 84 0.7× 82 0.8× 49 0.6× 31 0.5× 19 730
Gonzalo L. Vilas 419 1.0× 76 0.7× 34 0.3× 94 1.1× 36 0.6× 18 656
Lisa L. Gallegos 624 1.5× 88 0.8× 61 0.6× 160 1.8× 32 0.5× 13 780
G. Martinez 463 1.1× 117 1.0× 67 0.7× 42 0.5× 50 0.8× 10 625

Countries citing papers authored by Michimoto Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Michimoto Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michimoto Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Michimoto Kobayashi. A scholar is included among the top collaborators of Michimoto Kobayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michimoto Kobayashi. Michimoto Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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