Kosuke Toda
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
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- Ubiquitin and proteasome pathways 1
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- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Kenji Kawada (10 shared papers)Yoshiharu Sakai (10 shared papers)Masayoshi Iwamoto (5 shared papers)Susumu Inamoto (3 shared papers)Yoshiro Itatani (4 shared papers)Suguru Hasegawa (5 shared papers)Gen Nishikawa (4 shared papers)Senji Shirasawa (3 shared papers)
- Journals
- Journal of Nuclear Medicine (2 papers)Cancer Letters (1 paper)Journal of Medicinal Chemistry (1 paper)Journal of the Physical Society of Japan (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Kosuke Toda
16 papers receiving 525 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 225
- Biochemistry 49
- Oncology 149
- Molecular Biology 261
- Genetics 25
Countries citing papers authored by Kosuke Toda
This map shows the geographic impact of Kosuke Toda'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 Kosuke Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Toda more than expected).
Fields of papers citing papers by Kosuke Toda
This network shows the impact of papers produced by Kosuke Toda. 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 Kosuke Toda. The network helps show where Kosuke Toda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kosuke Toda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2016 | 99 | |
| 3 | 2019 | 90 | |
| 4 | 2017 | 64 | |
| 5 | 2014 | 63 | |
| 6 | 2015 | 44 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2018 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2017 | 3 | |
| 13 | 2009 | 2 | |
| 14 | 2015 | 2 | |
| 15 | [Mucoepidermoid carcinoma of the parotid gland as a secondary malignancy developed ten years after chemotherapy for childhood acute lymphoblastic leukemia]. | 2007 | 2 |
| 16 | 2022 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2025 | 0 |
About Kosuke Toda
Kosuke Toda is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Genetics, having authored 18 papers that have together received 533 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Advanced Condensed Matter Physics (1 paper), Ubiquitin and proteasome pathways (1 paper), Acupuncture Treatment Research Studies (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Intestinal and Peritoneal Adhesions (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Cancer Research (225 citations), Biochemistry (49 citations), Oncology (149 citations), Molecular Biology (261 citations) and Genetics (25 citations). Kosuke Toda has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Kawada, Yoshiharu Sakai, Masayoshi Iwamoto, Susumu Inamoto, Yoshiro Itatani, Suguru Hasegawa, Gen Nishikawa, Senji Shirasawa, Takehiko Sasazuki and Rei Mizuno. Their work appears in journals such as Journal of Nuclear Medicine, Cancer Letters, Journal of Medicinal Chemistry, Journal of the Physical Society of Japan and PLoS ONE.
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.