Mitsuhiko Iwamoto

75 total papers · 730 total citations
42 papers, 535 citations indexed

About

Mitsuhiko Iwamoto is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Mitsuhiko Iwamoto has authored 42 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 15 papers in Cancer Research and 12 papers in Surgery. Recurrent topics in Mitsuhiko Iwamoto's work include Breast Cancer Treatment Studies (14 papers), HER2/EGFR in Cancer Research (10 papers) and Cancer Treatment and Pharmacology (9 papers). Mitsuhiko Iwamoto is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), HER2/EGFR in Cancer Research (10 papers) and Cancer Treatment and Pharmacology (9 papers). Mitsuhiko Iwamoto collaborates with scholars based in Japan and United States. Mitsuhiko Iwamoto's co-authors include Nobuhiko Tanigawa, Takehiro Nohara, Hideaki Mabuchi, Akiko Miyamoto, Satoru Tanaka, Masao Toyoda, Hisashi Shinohara, Goki Gon, Yoshiharu Miyamoto and Yuko Takahashi and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Mitsuhiko Iwamoto

35 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Mitsuhiko Iwamoto 258 151 136 131 100 42 535
Takashi Ichimura 361 1.4× 76 0.5× 142 1.0× 272 2.1× 107 1.1× 52 576
Chiara Intrivici 271 1.1× 228 1.5× 172 1.3× 113 0.9× 124 1.2× 20 601
Audrey Hennequin 401 1.6× 194 1.3× 98 0.7× 150 1.1× 77 0.8× 33 548
Ryo Yuge 201 0.8× 88 0.6× 133 1.0× 141 1.1× 105 1.1× 59 495
Lifeng Sun 195 0.8× 87 0.6× 108 0.8× 120 0.9× 146 1.5× 39 552
Dan Ferariu 285 1.1× 133 0.9× 143 1.1× 88 0.7× 29 0.3× 51 495
Woo Ram Kim 274 1.1× 133 0.9× 181 1.3× 86 0.7× 45 0.5× 33 500
Masato Okigami 194 0.8× 132 0.9× 122 0.9× 117 0.9× 147 1.5× 37 565
Yoko Oshima 233 0.9× 119 0.8× 160 1.2× 150 1.1× 56 0.6× 60 474
Giorgio Maria Verdecchia 169 0.7× 79 0.5× 221 1.6× 111 0.8× 88 0.9× 22 490

Countries citing papers authored by Mitsuhiko Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiko Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiko Iwamoto

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