Arata Shimo
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 3
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- Microtubule and mitosis dynamics 3
- Co-authors
- Toyomasa Katagiri (6 shared papers)Toshihiko Nishidate (5 shared papers)Yusuke Nakamura (4 shared papers)Mamoru Fukuda (5 shared papers)Tomohiko Ohta (2 shared papers)Koichi Hirata (2 shared papers)Meng‐Lay Lin (3 shared papers)David Jaehyun Park (3 shared papers)
- Journals
- Cancer Science (4 papers)Breast Cancer (4 papers)Biological and Pharmaceutical Bulletin (2 papers)Clinical Breast Cancer (1 paper)Oncology (1 paper)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Arata Shimo
18 papers receiving 650 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 131
- Cancer Research 108
- Oncology 139
- Molecular Biology 338
- Pharmacology 23
Countries citing papers authored by Arata Shimo
This map shows the geographic impact of Arata Shimo'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 Arata Shimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arata Shimo more than expected).
Fields of papers citing papers by Arata Shimo
This network shows the impact of papers produced by Arata Shimo. 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 Arata Shimo. The network helps show where Arata Shimo may publish in the future.
Co-authors
The 25 scholars most cited alongside Arata Shimo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 108 | |
| 2 | 2006 | 90 | |
| 3 | 2007 | 88 | |
| 4 | 2008 | 82 | |
| 5 | 2009 | 55 | |
| 6 | 2015 | 48 | |
| 7 | 2009 | 42 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 29 | |
| 10 | 2015 | 22 | |
| 11 | 2019 | 21 | |
| 12 | 2024 | 14 | |
| 13 | 2021 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2009 | 0 | |
| 20 | 2017 | 0 |
About Arata Shimo
Arata Shimo is a scholar working on Oncology, Cell Biology, Pathology and Forensic Medicine, Pharmacology and Pharmacology, having authored 21 papers that have together received 659 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (3 papers), Microtubule and mitosis dynamics (3 papers), Genomics and Chromatin Dynamics (3 papers), HER2/EGFR in Cancer Research (3 papers), RNA modifications and cancer (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Estrogen and related hormone effects (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Cell Biology (131 citations), Cancer Research (108 citations), Oncology (139 citations), Molecular Biology (338 citations) and Pharmacology (23 citations). Arata Shimo has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Toyomasa Katagiri, Toshihiko Nishidate, Yusuke Nakamura, Mamoru Fukuda, Tomohiko Ohta, Koichi Hirata, Meng‐Lay Lin, David Jaehyun Park, Tomomi Ueki and Ryo Takata. Their work appears in journals such as Cancer Science, Breast Cancer, Biological and Pharmaceutical Bulletin, Clinical Breast Cancer and Oncology.
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.