Shima Mimura
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
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- MicroRNA in disease regulation
Papers in
- Hepatology 23
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Hepatitis C virus research 5
- Liver Diseases and Immunity 4
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- MicroRNA in disease regulation 6
- Co-authors
- Joji Tani (41 shared papers)Tsutomu Masaki (36 shared papers)Takashi Himoto (30 shared papers)Hisakazu Iwama (18 shared papers)Hideki Kobara (25 shared papers)Hisaaki Miyoshi (6 shared papers)Yasuyuki Suzuki (7 shared papers)Keiichi Okano (7 shared papers)
- Journals
- International Journal of Oncology (6 papers)Cancers (4 papers)International Journal of Molecular Sciences (3 papers)Scientific Reports (2 papers)International Journal of Molecular Medicine (2 papers)
- Partner nations
- Japan
In The Last Decade
Shima Mimura
47 papers receiving 765 citations
Peers
Comparison fields: 5 of 59
- Hepatology 141
- Cancer Research 107
- Molecular Biology 310
- Immunology 92
- Aging 7
Countries citing papers authored by Shima Mimura
This map shows the geographic impact of Shima Mimura'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 Shima Mimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shima Mimura more than expected).
Fields of papers citing papers by Shima Mimura
This network shows the impact of papers produced by Shima Mimura. 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 Shima Mimura. The network helps show where Shima Mimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Shima Mimura, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 204 | |
| 2 | 2014 | 86 | |
| 3 | 2015 | 70 | |
| 4 | 2012 | 50 | |
| 5 | 2020 | 39 | |
| 6 | 2014 | 30 | |
| 7 | 2020 | 30 | |
| 8 | 2016 | 28 | |
| 9 | 2015 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 8 |
About Shima Mimura
Shima Mimura is a scholar working on Hepatology, Cancer Research, Immunology, Epidemiology and Physiology, having authored 51 papers that have together received 775 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), MicroRNA in disease regulation (6 papers), Galectins and Cancer Biology (5 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Liver Diseases and Immunity (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Hepatology (141 citations), Cancer Research (107 citations), Molecular Biology (310 citations), Immunology (92 citations) and Aging (7 citations). Shima Mimura has collaborated with scholars based in Japan. Frequent co-authors include Joji Tani, Tsutomu Masaki, Takashi Himoto, Hisakazu Iwama, Hideki Kobara, Hisaaki Miyoshi, Yasuyuki Suzuki, Keiichi Okano, Asahiro Morishita and Koji Fujita. Their work appears in journals such as International Journal of Oncology, Cancers, International Journal of Molecular Sciences, Scientific Reports and International Journal of Molecular Medicine.
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.