Ryohei Sekimoto

16 total papers · 855 total citations
13 papers, 676 citations indexed

About

Ryohei Sekimoto is a scholar working on Epidemiology, Physiology and Immunology. According to data from OpenAlex, Ryohei Sekimoto has authored 13 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Physiology and 5 papers in Immunology. Recurrent topics in Ryohei Sekimoto's work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (7 papers) and Biomarkers in Disease Mechanisms (5 papers). Ryohei Sekimoto is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (7 papers) and Biomarkers in Disease Mechanisms (5 papers). Ryohei Sekimoto collaborates with scholars based in Japan and United States. Ryohei Sekimoto's co-authors include Tohru Funahashi, Iichiro Shimomura, Hitoshi Nishizawa, Norikazu Maeda, Hideaki Nakatsuji, Yu Tsushima, Kenta Kato, Takashi Shirakura, Yoshihiro Tochino and Hiroyuki Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ryohei Sekimoto

13 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Ryohei Sekimoto 304 221 220 177 124 13 676
Yu Tsushima 235 0.8× 201 0.9× 244 1.1× 131 0.7× 135 1.1× 14 597
Yongneng Zhang 184 0.6× 303 1.4× 294 1.3× 63 0.4× 149 1.2× 14 663
Elettra Mancuso 119 0.4× 213 1.0× 118 0.5× 154 0.9× 61 0.5× 24 671
Eleonora Cravero 85 0.3× 304 1.4× 164 0.7× 123 0.7× 78 0.6× 13 699
Hengjiang Guo 132 0.4× 241 1.1× 192 0.9× 62 0.4× 75 0.6× 14 633
Fei Fang 101 0.3× 237 1.1× 84 0.4× 81 0.5× 112 0.9× 16 645
Tuyet Thi Nguyen 120 0.4× 282 1.3× 178 0.8× 184 1.0× 40 0.3× 22 724
Mizuki Tani 162 0.5× 250 1.1× 130 0.6× 168 0.9× 71 0.6× 26 581
Yoshio Iwashima 300 1.0× 136 0.6× 117 0.5× 139 0.8× 55 0.4× 22 784
Nobuyuki Kajiwara 141 0.5× 236 1.1× 244 1.1× 64 0.4× 53 0.4× 21 610

Countries citing papers authored by Ryohei Sekimoto

Since Specialization
Citations

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

Fields of papers citing papers by Ryohei Sekimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryohei Sekimoto

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