Shima Mimura
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
Papers in
- Hepatology 20
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Hepatitis C virus research 7
- Liver Diseases and Immunity 5
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- Circular RNAs in diseases 7
- Co-authors
- Tsutomu Masaki (35 shared papers)Joji Tani (38 shared papers)Hisakazu Iwama (18 shared papers)Takashi Himoto (28 shared papers)Hideki Kobara (21 shared papers)Hisaaki Miyoshi (6 shared papers)Yasuyuki Suzuki (7 shared papers)Keiichi Okano (7 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)International Journal of Oncology (3 papers)Cancers (3 papers)Scientific Reports (2 papers)Anticancer Research (2 papers)
- Partner nations
- JapanUnited StatesSomalia
In The Last Decade
Shima Mimura
34 papers receiving 491 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 173
- Hepatology 74
- Oncology 146
- Molecular Biology 325
- Immunology 52
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 198 | |
| 2 | 2012 | 45 | |
| 3 | 2020 | 29 | |
| 4 | 2014 | 29 | |
| 5 | 2016 | 25 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 18 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 1980 | 6 | |
| 20 | 2021 | 5 |
About Shima Mimura
Shima Mimura is a scholar working on Hepatology, Molecular Biology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 41 papers that have together received 495 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MicroRNA in disease regulation (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Cancer Mechanisms and Therapy (8 papers), Hepatitis C virus research (7 papers), Circular RNAs in diseases (7 papers), Hepatitis B Virus Studies (6 papers) and Liver Diseases and Immunity (5 papers). The work is most often cited by research in Cancer Research (173 citations), Hepatology (74 citations), Oncology (146 citations), Molecular Biology (325 citations) and Immunology (52 citations). Shima Mimura has collaborated with scholars based in Japan, United States and Somalia. Frequent co-authors include Tsutomu Masaki, Joji Tani, Hisakazu Iwama, Takashi Himoto, Hideki Kobara, Hisaaki Miyoshi, Yasuyuki Suzuki, Keiichi Okano, Kei Nomura and Koji Fujita. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Oncology, Cancers, Scientific Reports and Anticancer 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.