Toshihiro Kudo

168 total papers · 2.2k total citations
85 papers, 1.5k citations indexed

About

Toshihiro Kudo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Toshihiro Kudo has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Oncology, 40 papers in Pulmonary and Respiratory Medicine and 21 papers in Cancer Research. Recurrent topics in Toshihiro Kudo's work include Colorectal Cancer Treatments and Studies (30 papers), Gastric Cancer Management and Outcomes (22 papers) and Cancer Genomics and Diagnostics (13 papers). Toshihiro Kudo is often cited by papers focused on Colorectal Cancer Treatments and Studies (30 papers), Gastric Cancer Management and Outcomes (22 papers) and Cancer Genomics and Diagnostics (13 papers). Toshihiro Kudo collaborates with scholars based in Japan, United States and South Korea. Toshihiro Kudo's co-authors include Taroh Satoh, Yuichiro� Doki, Masaki Mori, Kei Muro, Masamitsu Konno, Daisuke Sakai, Hideshi Ishii, Shuichi Hironaka, Hiroki Hara and Koichi Kawamoto and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Toshihiro Kudo

74 papers receiving 1.5k citations

Hit Papers

Nivolumab treatment for o... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Toshihiro Kudo 832 528 437 418 382 85 1.5k
Alessandro Bittoni 929 1.1× 437 0.8× 479 1.1× 486 1.2× 284 0.7× 93 1.5k
Akira Ooki 612 0.7× 590 1.1× 300 0.7× 448 1.1× 328 0.9× 96 1.4k
Choong‐kun Lee 679 0.8× 532 1.0× 309 0.7× 485 1.2× 343 0.9× 99 1.6k
Caterina Vivaldi 751 0.9× 344 0.7× 402 0.9× 504 1.2× 393 1.0× 100 1.3k
Itzhak Avital 587 0.7× 486 0.9× 452 1.0× 351 0.8× 462 1.2× 42 1.5k
Bunzo Nakata 1.0k 1.2× 562 1.1× 367 0.8× 420 1.0× 463 1.2× 76 1.7k
Yiyi Yu 727 0.9× 442 0.8× 323 0.7× 457 1.1× 269 0.7× 99 1.4k
Léonor Benhaïm 730 0.9× 377 0.7× 400 0.9× 432 1.0× 663 1.7× 70 1.7k
Kristen K. Ciombor 1.2k 1.4× 454 0.9× 304 0.7× 380 0.9× 354 0.9× 90 1.7k
Hideaki Kinugasa 529 0.6× 446 0.8× 469 1.1× 277 0.7× 253 0.7× 64 1.2k

Countries citing papers authored by Toshihiro Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiro Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiro Kudo

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