Mitsuya Ito
Impact in
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 5
- Cancer Treatment and Pharmacology 4
- Cancer Diagnosis and Treatment 2
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- Genomics, phytochemicals, and oxidative stress 2
- Co-authors
- Iwao Hirono (8 shared papers)Kazuyuki Matsumoto (6 shared papers)Hiroyuki Tsuda (4 shared papers)Minako Nagao (2 shared papers)Nobuaki Uehara (1 shared paper)Makoto Asamoto (1 shared paper)Hiroyuki Tsuda (3 shared papers)Shoichiro Ohtani (13 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)World Journal of Oncology (2 papers)Toxicologic Pathology (2 papers)Mammalian Genome (1 paper)Journal of Hepato-Biliary-Pancreatic Surgery (1 paper)
- Partner nations
- JapanUnited KingdomFrance
In The Last Decade
Mitsuya Ito
35 papers receiving 451 citations
Peers
Comparison fields: 5 of 72
- Gastroenterology 28
- Biochemistry 31
- Cancer Research 67
- Nephrology 27
- Hepatology 28
Countries citing papers authored by Mitsuya Ito
This map shows the geographic impact of Mitsuya Ito'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 Mitsuya Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuya Ito more than expected).
Fields of papers citing papers by Mitsuya Ito
This network shows the impact of papers produced by Mitsuya Ito. 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 Mitsuya Ito. The network helps show where Mitsuya Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuya Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 104 | |
| 2 | 1998 | 37 | |
| 3 | 2003 | 37 | |
| 4 | 1993 | 34 | |
| 5 | 2011 | 32 | |
| 6 | 1992 | 30 | |
| 7 | 1993 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 1993 | 25 | |
| 10 | 1993 | 20 | |
| 11 | 2019 | 14 | |
| 12 | 2020 | 10 | |
| 13 | 1992 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 1990 | 5 | |
| 19 | 1998 | 5 | |
| 20 | 1997 | 4 |
About Mitsuya Ito
Mitsuya Ito is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 39 papers that have together received 478 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Treatment and Pharmacology (4 papers), Immune Cell Function and Interaction (3 papers), Liver physiology and pathology (2 papers), Cancer Diagnosis and Treatment (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Gastroenterology (28 citations), Biochemistry (31 citations), Cancer Research (67 citations), Nephrology (27 citations) and Hepatology (28 citations). Mitsuya Ito has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Iwao Hirono, Kazuyuki Matsumoto, Hiroyuki Tsuda, Minako Nagao, Nobuaki Uehara, Makoto Asamoto, Hiroyuki Tsuda, Shoichiro Ohtani, Hiroshi Ogino and Kensuke Kawasaki. Their work appears in journals such as Journal of Clinical Oncology, World Journal of Oncology, Toxicologic Pathology, Mammalian Genome and Journal of Hepato-Biliary-Pancreatic Surgery.
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.