Junya Sakamoto
Impact in
- Rehabilitation top 5%
- Exercise and Physiological Responses
-
- Tendon Structure and Treatment
Papers in
- Surgery 27
- Hip disorders and treatments 5
- Physiology 14
- Pain Mechanisms and Treatments 8
- Nutrition and Health in Aging 5
- Co-authors
- Minoru Okita (47 shared papers)Hideki Kataoka (39 shared papers)Jiro Nakano (24 shared papers)Tomoki Origuchi (15 shared papers)Y. Honda (13 shared papers)Tatsuya Hirase (10 shared papers)Yuichiro Honda (19 shared papers)Shigeru Inokuchi (4 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Pain Research and Management (5 papers)PLoS ONE (5 papers)Physiological Research (4 papers)Muscle & Nerve (4 papers)
- Partner nations
- JapanUnited KingdomFrance
In The Last Decade
Junya Sakamoto
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 127
- Rehabilitation 79
- Orthopedics and Sports Medicine 79
- Geriatrics and Gerontology 23
- Hepatology 46
- Physiology 144
Countries citing papers authored by Junya Sakamoto
This map shows the geographic impact of Junya Sakamoto'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 Junya Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Sakamoto more than expected).
Fields of papers citing papers by Junya Sakamoto
This network shows the impact of papers produced by Junya Sakamoto. 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 Junya Sakamoto. The network helps show where Junya Sakamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Sakamoto, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blood loss and ICG clearance as best prognostic markers of post-hepatectomy liver failure. | 1999 | 61 |
| 2 | 1994 | 58 | |
| 3 | 1996 | 52 | |
| 4 | 2016 | 46 | |
| 5 | 2014 | 41 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2015 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2008 | 30 | |
| 11 | 2017 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2009 | 27 | |
| 14 | 2019 | 24 | |
| 15 | 2014 | 23 | |
| 16 | 2014 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2013 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2014 | 19 |
About Junya Sakamoto
Junya Sakamoto is a scholar working on Surgery, Physiology, Pharmacology, Molecular Biology and Rehabilitation, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Exercise and Physiological Responses (9 papers), Pain Mechanisms and Treatments (8 papers), Musculoskeletal pain and rehabilitation (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Gastric Cancer Management and Outcomes (6 papers), Hip disorders and treatments (5 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Rehabilitation (79 citations), Orthopedics and Sports Medicine (79 citations), Geriatrics and Gerontology (23 citations), Hepatology (46 citations) and Physiology (144 citations). Junya Sakamoto has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Minoru Okita, Hideki Kataoka, Jiro Nakano, Tomoki Origuchi, Y. Honda, Tatsuya Hirase, Yuichiro Honda, Shigeru Inokuchi, Toshiro Yoshimura and Takuya Fukushima. Their work appears in journals such as Journal of Clinical Oncology, Pain Research and Management, PLoS ONE, Physiological Research and Muscle & Nerve.
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.