Kiyohiko Shuto
- Gastroenterology top 2%
- Gastrointestinal Tumor Research and Treatment 9
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- Gastric Cancer Management and Outcomes 31
- Surgery top 2%
- Esophageal Cancer Research and Treatment 37
- Esophageal and GI Pathology 25
- Hepatology top 5%
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 13
- Medical Imaging Techniques and Applications 8
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- Colorectal Cancer Surgical Treatments 9
- Co-authors
- Hisahiro MatsubaraShinichi OkazumiTakenori OchiaiHideaki ShimadaYasunori AkutsuYoshihiro NabeyaKeiji KodaChihiro Kosugi
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (2 papers)Cancer (1 paper)
In The Last Decade
Kiyohiko Shuto
99 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Gastroenterology 179
- Pulmonary and Respiratory Medicine 1.1k
- Surgery 1.4k
- Hepatology 186
- Radiology, Nuclear Medicine and Imaging 427
Countries citing papers authored by Kiyohiko Shuto
This map shows the geographic impact of Kiyohiko Shuto'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 Kiyohiko Shuto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyohiko Shuto more than expected).
Fields of papers citing papers by Kiyohiko Shuto
This network shows the impact of papers produced by Kiyohiko Shuto. 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 Kiyohiko Shuto. The network helps show where Kiyohiko Shuto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kiyohiko Shuto, 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 | 2024 | 11 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 21 | |
| 6 | 2018 | 9 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 15 | |
| 9 | 2013 | 1 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 44 | |
| 12 | 2013 | 135 | |
| 13 | 2011 | 0 | |
| 14 | 2011 | 33 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 47 | |
| 17 | 2006 | 64 | |
| 18 | 2006 | 6 | |
| 19 | 2006 | 69 | |
| 20 | 1996 | 1 |
About Kiyohiko Shuto
Kiyohiko Shuto is a scholar working on Gastroenterology, Surgery and Pulmonary and Respiratory Medicine, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (37 papers), Gastric Cancer Management and Outcomes (31 papers), Esophageal and GI Pathology (25 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (13 papers), Colorectal Cancer Surgical Treatments (9 papers), Gastrointestinal Tumor Research and Treatment (9 papers) and Medical Imaging Techniques and Applications (8 papers). The work is most often cited by research in Gastroenterology (179 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Surgery (1.4k citations). Kiyohiko Shuto has collaborated with scholars based in Japan and Spain. Frequent co-authors include Hisahiro Matsubara, Shinichi Okazumi, Takenori Ochiai, Hideaki Shimada, Yasunori Akutsu, Yoshihiro Nabeya, Keiji Koda, Chihiro Kosugi, Masaya Uesato and Isamu Hoshino. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.
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.