Satoshi Tasumi

50 total papers · 2.4k total citations
36 papers, 1.8k citations indexed

About

Satoshi Tasumi is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Satoshi Tasumi has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 15 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in Satoshi Tasumi's work include Galectins and Cancer Biology (16 papers), Invertebrate Immune Response Mechanisms (15 papers) and Glycosylation and Glycoproteins Research (7 papers). Satoshi Tasumi is often cited by papers focused on Galectins and Cancer Biology (16 papers), Invertebrate Immune Response Mechanisms (15 papers) and Glycosylation and Glycoproteins Research (7 papers). Satoshi Tasumi collaborates with scholars based in Japan, United States and United Kingdom. Satoshi Tasumi's co-authors include Yuzuru Suzuki, Gerardo R. Vasta, Hiroaki Suetake, Shigeyuki Tsutsui, Kiyoshi Kikuchi, S. Hosoya, Zeev Pancer, Ichiro Kawazoe, Katsumi Aida and Tsuyoshi Ohira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Satoshi Tasumi

34 papers receiving 1.8k citations

Hit Papers

A Trans-Species Missense ... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Satoshi Tasumi 963 602 507 315 203 36 1.8k
Zhenxia Sha 1.1k 1.1× 744 1.2× 640 1.3× 236 0.7× 396 2.0× 84 2.1k
Kristian R. von Schalburg 527 0.5× 693 1.2× 420 0.8× 355 1.1× 285 1.4× 31 1.5k
Toshiaki Miyadai 475 0.5× 502 0.8× 495 1.0× 243 0.8× 114 0.6× 51 1.5k
Wenteng Xu 863 0.9× 380 0.6× 458 0.9× 121 0.4× 171 0.8× 76 1.5k
Laia Ribas 554 0.6× 902 1.5× 532 1.0× 590 1.9× 582 2.9× 48 2.1k
Paul Wheeler 435 0.5× 1.4k 2.3× 350 0.7× 388 1.2× 450 2.2× 64 2.3k
Mohamed Salem 748 0.8× 606 1.0× 814 1.6× 213 0.7× 849 4.2× 65 2.3k
Zhizhong Xiao 604 0.6× 335 0.6× 267 0.5× 308 1.0× 367 1.8× 79 1.4k
Yanliang Jiang 790 0.8× 614 1.0× 490 1.0× 100 0.3× 550 2.7× 50 1.8k
Kaikun Luo 405 0.4× 719 1.2× 300 0.6× 332 1.1× 396 2.0× 88 1.4k

Countries citing papers authored by Satoshi Tasumi

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Tasumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Tasumi

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