Teppei Sakamoto
Impact in
- Hepatology top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- MicroRNA in disease regulation 7
- Cancer, Hypoxia, and Metabolism 4
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- Circular RNAs in diseases 6
- Co-authors
- Asahiro Morishita (30 shared papers)Tsutomu Masaki (31 shared papers)Hirohito Yoneyama (29 shared papers)Takako Nomura (27 shared papers)Koji Fujita (28 shared papers)Joji Tani (27 shared papers)Hisakazu Iwama (18 shared papers)Tomoko Tadokoro (18 shared papers)
- Journals
- Oncology Reports (4 papers)International Journal of Oncology (3 papers)International Journal of Molecular Medicine (2 papers)Journal of Clinical Biochemistry and Nutrition (1 paper)Journal of Gastroenterology and Hepatology (1 paper)
- Partner nations
- JapanUnited StatesSomalia
In The Last Decade
Teppei Sakamoto
34 papers receiving 468 citations
Peers
Comparison fields: 5 of 75
- Hepatology 71
- Cancer Research 104
- Immunology 120
- Oncology 92
- Epidemiology 94
Countries citing papers authored by Teppei Sakamoto
This map shows the geographic impact of Teppei 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 Teppei Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Sakamoto more than expected).
Fields of papers citing papers by Teppei Sakamoto
This network shows the impact of papers produced by Teppei 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 Teppei Sakamoto. The network helps show where Teppei Sakamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Teppei 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2017 | 48 | |
| 3 | 2017 | 44 | |
| 4 | 2014 | 29 | |
| 5 | 2015 | 28 | |
| 6 | 2016 | 26 | |
| 7 | 2016 | 25 | |
| 8 | 2017 | 24 | |
| 9 | 2016 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2017 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 5 |
About Teppei Sakamoto
Teppei Sakamoto is a scholar working on Cancer Research, Molecular Biology, Hepatology, Epidemiology and Immunology, having authored 35 papers that have together received 473 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Galectins and Cancer Biology (6 papers), Circular RNAs in diseases (6 papers), Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer Mechanisms and Therapy (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (71 citations), Cancer Research (104 citations), Immunology (120 citations), Oncology (92 citations) and Epidemiology (94 citations). Teppei Sakamoto has collaborated with scholars based in Japan, United States and Somalia. Frequent co-authors include Asahiro Morishita, Tsutomu Masaki, Hirohito Yoneyama, Takako Nomura, Koji Fujita, Joji Tani, Hisakazu Iwama, Tomoko Tadokoro, Hisaaki Miyoshi and Takashi Himoto. Their work appears in journals such as Oncology Reports, International Journal of Oncology, International Journal of Molecular Medicine, Journal of Clinical Biochemistry and Nutrition and Journal of Gastroenterology and Hepatology.
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.