Takuma Iwai

122 total papers · 742 total citations
62 papers, 503 citations indexed

About

Takuma Iwai is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Takuma Iwai has authored 62 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 26 papers in Surgery and 19 papers in Cancer Research. Recurrent topics in Takuma Iwai's work include Colorectal Cancer Treatments and Studies (19 papers), Cancer Genomics and Diagnostics (18 papers) and Genetic factors in colorectal cancer (12 papers). Takuma Iwai is often cited by papers focused on Colorectal Cancer Treatments and Studies (19 papers), Cancer Genomics and Diagnostics (18 papers) and Genetic factors in colorectal cancer (12 papers). Takuma Iwai collaborates with scholars based in Japan and United States. Takuma Iwai's co-authors include Takeshi Yamada, Seiichi Shinji, Goro Takahashi, Kohki Takeda, Michihiro Koizumi, Yasuyuki Yokoyama, Hiroshi Yoshida, Akihisa Matsuda, Eiji Uchida and Keisuke Hara and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Takuma Iwai

53 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
Takuma Iwai 338 227 153 146 104 62 503
Kohki Takeda 297 0.9× 169 0.7× 116 0.8× 157 1.1× 107 1.0× 46 487
Keigo Komine 291 0.9× 166 0.7× 133 0.9× 106 0.7× 147 1.4× 52 572
Yasuyuki Yokoyama 287 0.8× 221 1.0× 141 0.9× 121 0.8× 85 0.8× 66 459
Michihiro Koizumi 364 1.1× 234 1.0× 146 1.0× 169 1.2× 106 1.0× 52 600
Luigi Battaglia 194 0.6× 167 0.7× 98 0.6× 248 1.7× 108 1.0× 49 573
Michael Cecchini 290 0.9× 110 0.5× 87 0.6× 84 0.6× 158 1.5× 77 583
Hideya Tashiro 334 1.0× 220 1.0× 105 0.7× 61 0.4× 90 0.9× 47 558
Hang Yang 306 0.9× 154 0.7× 158 1.0× 74 0.5× 85 0.8× 48 609
N. Saoudi Gonzalez 321 0.9× 134 0.6× 136 0.9× 47 0.3× 108 1.0× 52 462
Krittiya Korphaisarn 355 1.1× 121 0.5× 182 1.2× 115 0.8× 124 1.2× 42 521

Countries citing papers authored by Takuma Iwai

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Iwai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Iwai

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