Jun Kotoyori

23 total papers · 437 total citations
22 papers, 401 citations indexed

About

Jun Kotoyori is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Jun Kotoyori has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Genetics. Recurrent topics in Jun Kotoyori's work include Estrogen and related hormone effects (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Inflammatory mediators and NSAID effects (4 papers). Jun Kotoyori is often cited by papers focused on Estrogen and related hormone effects (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Inflammatory mediators and NSAID effects (4 papers). Jun Kotoyori collaborates with scholars based in Japan. Jun Kotoyori's co-authors include Yutaka Oiso, Haruhiko Tokuda, Osamu Kozawa, Masaichi Miwa, Yoshiaki Ito, Osamu Kozawa, Yasuko Watanabe, Atsushi Suzuki, Nobuaki Ozaki and Kazuyo Tsushita and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Experimental Cell Research and Atherosclerosis.

In The Last Decade

Jun Kotoyori

22 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Kotoyori 290 63 57 56 52 22 401
Osamu Kozawa 240 0.8× 53 0.8× 76 1.3× 29 0.5× 29 0.6× 17 397
Kurt Jungermann 173 0.6× 50 0.8× 73 1.3× 46 0.8× 26 0.5× 14 359
Jyoti Nanda 244 0.8× 45 0.7× 47 0.8× 25 0.4× 31 0.6× 20 445
Ignatius A. Tavares 241 0.8× 56 0.9× 89 1.6× 68 1.2× 15 0.3× 13 435
Simon N.S. Louis 282 1.0× 37 0.6× 37 0.6× 19 0.3× 75 1.4× 19 433
Hui‐Jun Mu 222 0.8× 86 1.4× 66 1.2× 16 0.3× 30 0.6× 32 432
G. Hege Thoresen 205 0.7× 47 0.7× 96 1.7× 26 0.5× 31 0.6× 21 412
Dongmei Yin 258 0.9× 67 1.1× 100 1.8× 28 0.5× 24 0.5× 15 407
Jiaqi Lu 197 0.7× 24 0.4× 40 0.7× 25 0.4× 65 1.3× 16 380
C. Szpirer 274 0.9× 30 0.5× 36 0.6× 22 0.4× 40 0.8× 26 401

Countries citing papers authored by Jun Kotoyori

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kotoyori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kotoyori

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kotoyori. A scholar is included among the top collaborators of Jun Kotoyori 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 Jun Kotoyori. Jun Kotoyori 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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