Toshihiro Kudo
- Oncology top 5%
- Colorectal Cancer Treatments and Studies 31
- Cancer Immunotherapy and Biomarkers 12
- Pancreatic and Hepatic Oncology Research 11
- Cancer Treatment and Pharmacology 10
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 13
-
- Gastric Cancer Management and Outcomes 22
- Lung Cancer Treatments and Mutations 11
- Hepatology top 10%
- Gastroenterology top 10%
-
- Genetic factors in colorectal cancer 8
- Co-authors
- Taroh SatohYuichiro� DokiMasaki MoriDaisuke SakaiKei MuroMasamitsu KonnoHideshi IshiiShuichi Hironaka
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (19 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Toshihiro Kudo
74 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 836
- Cancer Research 438
- Pulmonary and Respiratory Medicine 420
- Hepatology 97
- Gastroenterology 59
Countries citing papers authored by Toshihiro Kudo
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
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
The 25 scholars most cited alongside Toshihiro Kudo, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 45 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 20 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 4 | |
| 14 | 2018 | 0 | |
| 15 | Nivolumab treatment for oesophageal squamous-cell carcinoma: an open-label, multicentre, phase 2 trialbreakdown → | 2017 | 292 |
| 16 | 2017 | 9 | |
| 17 | 2017 | 13 | |
| 18 | 2014 | 37 | |
| 19 | 2013 | 92 | |
| 20 | 2006 | 7 |
About Toshihiro Kudo
Toshihiro Kudo is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (31 papers), Gastric Cancer Management and Outcomes (22 papers), Cancer Genomics and Diagnostics (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Pancreatic and Hepatic Oncology Research (11 papers), Lung Cancer Treatments and Mutations (11 papers), Cancer Treatment and Pharmacology (10 papers) and Genetic factors in colorectal cancer (8 papers). The work is most often cited by research in Oncology (836 citations), Cancer Research (438 citations) and Pulmonary and Respiratory Medicine (420 citations). Toshihiro Kudo has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Taroh Satoh, Yuichiro� Doki, Masaki Mori, Daisuke Sakai, Kei Muro, Masamitsu Konno, Hideshi Ishii, Shuichi Hironaka, Hiroki Hara and Kensei Yamaguchi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.