Mitsuhiko Abe
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Hepatology top 5%
- Liver physiology and pathology
Papers in
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- Angiogenesis and VEGF in Cancer 4
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- Liver physiology and pathology 4
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Hideki Iwamoto (19 shared papers)Takuji Torimura (20 shared papers)Hironori Koga (22 shared papers)Yihai Cao (3 shared papers)Kayoko Hosaka (3 shared papers)Takahiro Seki (3 shared papers)Sharon Lim (3 shared papers)Tõru Nakamura (13 shared papers)
- Journals
- Hepatology Research (3 papers)Cancer Science (2 papers)Neoplasia (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Mitsuhiko Abe
30 papers receiving 920 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 295
- Hepatology 128
- Oncology 156
- Molecular Biology 385
- Biochemistry 38
Countries citing papers authored by Mitsuhiko Abe
This map shows the geographic impact of Mitsuhiko Abe'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 Mitsuhiko Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiko Abe more than expected).
Fields of papers citing papers by Mitsuhiko Abe
This network shows the impact of papers produced by Mitsuhiko Abe. 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 Mitsuhiko Abe. The network helps show where Mitsuhiko Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiko Abe, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 245 | |
| 2 | 2016 | 87 | |
| 3 | 2018 | 66 | |
| 4 | 2018 | 63 | |
| 5 | 2019 | 52 | |
| 6 | 2012 | 38 | |
| 7 | 2012 | 36 | |
| 8 | 2017 | 33 | |
| 9 | 2011 | 27 | |
| 10 | 2011 | 26 | |
| 11 | 2011 | 22 | |
| 12 | 2012 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2009 | 20 | |
| 17 | 2011 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2017 | 12 |
About Mitsuhiko Abe
Mitsuhiko Abe is a scholar working on Molecular Biology, Hepatology, Oncology, Epidemiology and Cancer Research, having authored 30 papers that have together received 927 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Liver physiology and pathology (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Pancreatic function and diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Cancer Research (295 citations), Hepatology (128 citations), Oncology (156 citations), Molecular Biology (385 citations) and Biochemistry (38 citations). Mitsuhiko Abe has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hideki Iwamoto, Takuji Torimura, Hironori Koga, Yihai Cao, Kayoko Hosaka, Takahiro Seki, Sharon Lim, Tõru Nakamura, Michio Sata and Takato Ueno. Their work appears in journals such as Hepatology Research, Cancer Science, Neoplasia, Nature Communications and Clinical Cancer Research.
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.