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
- Joji Tani (38 shared papers)Tsutomu Masaki (35 shared papers)Hisakazu Iwama (18 shared papers)Takashi Himoto (29 shared papers)Hideki Kobara (21 shared papers)Hisaaki Miyoshi (6 shared papers)Yasuyuki Suzuki (7 shared papers)Keiichi Okano (7 shared papers)
- Journals
- Cancers (4 papers)International Journal of Molecular Sciences (3 papers)International Journal of Oncology (3 papers)International Journal of Molecular Medicine (2 papers)Anticancer Research (2 papers)
- Partner nations
- JapanUnited StatesSomalia
In The Last Decade
Shima Mimura
36 papers receiving 506 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 156
- Hepatology 68
- Molecular Biology 311
- Oncology 113
- Immunology 51
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 198 | |
| 2 | 2012 | 46 | |
| 3 | 2020 | 30 | |
| 4 | 2014 | 29 | |
| 5 | 2016 | 25 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2013 | 5 |
About Shima Mimura
Shima Mimura is a scholar working on Hepatology, Molecular Biology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 42 papers that have together received 507 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MicroRNA in disease regulation (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Circular RNAs in diseases (7 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Cancer Mechanisms and Therapy (5 papers) and Liver Diseases and Immunity (5 papers). The work is most often cited by research in Cancer Research (156 citations), Hepatology (68 citations), Molecular Biology (311 citations), Oncology (113 citations) and Immunology (51 citations). Shima Mimura has collaborated with scholars based in Japan, United States and Somalia. Frequent co-authors include Joji Tani, Tsutomu Masaki, Hisakazu Iwama, Takashi Himoto, Hideki Kobara, Hisaaki Miyoshi, Yasuyuki Suzuki, Keiichi Okano, Kiyohito Kato and Kei Nomura. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, International Journal of Oncology, International Journal of Molecular Medicine 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.