Akihiko Suto

115 total papers · 1.3k total citations
63 papers, 933 citations indexed

About

Akihiko Suto is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Akihiko Suto has authored 63 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 28 papers in Cancer Research and 13 papers in Molecular Biology. Recurrent topics in Akihiko Suto's work include Breast Cancer Treatment Studies (20 papers), HER2/EGFR in Cancer Research (12 papers) and Breast Lesions and Carcinomas (11 papers). Akihiko Suto is often cited by papers focused on Breast Cancer Treatment Studies (20 papers), HER2/EGFR in Cancer Research (12 papers) and Breast Lesions and Carcinomas (11 papers). Akihiko Suto collaborates with scholars based in Japan, United States and United Kingdom. Akihiko Suto's co-authors include Nitin Telang, H. Leon Bradlow, George Y. Wong, Michael P. Osborne, Tetsuro Kubota, Kyuya Ishibiki, Shin Takayama, Sho Shiino, Osahiko Abe and Masaki Kitajima and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Akihiko Suto

57 papers receiving 874 citations

Author Peers

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

Author Last Decade Papers Cites
Akihiko Suto 496 284 260 187 186 63 933
Untae Kim 308 0.6× 364 1.3× 170 0.7× 176 0.9× 153 0.8× 39 1.2k
Na Li 338 0.7× 368 1.3× 335 1.3× 295 1.6× 140 0.8× 61 948
Adam Maciejczyk 375 0.8× 369 1.3× 114 0.4× 175 0.9× 138 0.7× 84 904
Edwin D. Savlov 370 0.7× 190 0.7× 357 1.4× 309 1.7× 139 0.7× 33 981
S. Gundersen 470 0.9× 246 0.9× 232 0.9× 268 1.4× 116 0.6× 59 886
Claus Lattrich 508 1.0× 353 1.2× 378 1.5× 328 1.8× 152 0.8× 49 1.1k
B.M.J. Cantwell 420 0.8× 337 1.2× 159 0.6× 109 0.6× 138 0.7× 52 1.1k
Verena Materna 632 1.3× 551 1.9× 109 0.4× 220 1.2× 92 0.5× 33 1.1k
Nilgün Kapucuoğlu 304 0.6× 254 0.9× 111 0.4× 188 1.0× 137 0.7× 73 1.0k
Yon‐Dschun Ko 277 0.6× 443 1.6× 142 0.5× 138 0.7× 150 0.8× 62 912

Countries citing papers authored by Akihiko Suto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Suto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Suto

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