Kenichi Saito

397 total papers · 13.2k total citations
236 papers, 6.2k citations indexed

About

Kenichi Saito is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Kenichi Saito has authored 236 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 37 papers in Surgery and 29 papers in Plant Science. Recurrent topics in Kenichi Saito's work include Neuroscience and Neuropharmacology Research (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Sarcoma Diagnosis and Treatment (9 papers). Kenichi Saito is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers) and Sarcoma Diagnosis and Treatment (9 papers). Kenichi Saito collaborates with scholars based in Japan, United States and United Kingdom. Kenichi Saito's co-authors include Ralph A. Nixon, Yoshihiro Kano, James E. Hamos, John S. Elce, Satoshi Yuki, Masatoshi Kudo, Masafumi Ikeda, Takuji Okusaka, Masahiro Kobayashi and Katsushi Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Kenichi Saito

225 papers receiving 5.9k citations

Hit Papers

Phase Ib Study of Lenvati... 1993 2026 2004 2015 2020 1993 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Kenichi Saito 1.6k 920 905 762 759 236 6.2k
Tōru Kimura 3.0k 1.9× 1.2k 1.3× 1.1k 1.2× 1.1k 1.4× 970 1.3× 325 7.6k
S. Tsuyoshi Ohnishi 2.8k 1.7× 740 0.8× 407 0.4× 462 0.6× 579 0.8× 167 6.7k
Shuichi Okada 2.2k 1.3× 1.1k 1.2× 648 0.7× 1.7k 2.2× 400 0.5× 257 6.9k
Ferdinando Nicoletti 4.5k 2.8× 357 0.4× 1.7k 1.9× 835 1.1× 814 1.1× 322 11.7k
Seok‐Geun Lee 3.7k 2.3× 778 0.8× 1.9k 2.1× 933 1.2× 548 0.7× 199 7.8k
Shinji Itoh 1.9k 1.2× 1.9k 2.1× 1.4k 1.6× 1.8k 2.3× 1.3k 1.7× 496 7.2k
Kyu‐Won Kim 5.7k 3.5× 313 0.3× 1.3k 1.4× 445 0.6× 571 0.8× 207 10.4k
Feng Li 4.8k 3.0× 448 0.5× 1.5k 1.6× 828 1.1× 668 0.9× 334 10.6k
Liying Li 2.1k 1.3× 779 0.8× 314 0.3× 559 0.7× 313 0.4× 128 4.7k
Je Kyung Seong 3.4k 2.1× 324 0.4× 590 0.7× 671 0.9× 422 0.6× 329 7.5k

Countries citing papers authored by Kenichi Saito

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Saito

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