Arata Shimo
Impact in
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- Breast Cancer Treatment Studies
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 4
- Cancer Treatment and Pharmacology 2
- Peptidase Inhibition and Analysis 2
-
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
- Co-authors
- Toyomasa Katagiri (7 shared papers)Toshihiko Nishidate (5 shared papers)Yusuke Nakamura (4 shared papers)Mamoru Fukuda (4 shared papers)Tomohiko Ohta (2 shared papers)Koichi Hirata (2 shared papers)Jae‐Hyun Park (3 shared papers)Meng‐Lay Lin (3 shared papers)
- Journals
- Breast Cancer (4 papers)Cancer Science (4 papers)Biological and Pharmaceutical Bulletin (2 papers)The Journal of Urology (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Arata Shimo
16 papers receiving 604 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 139
- Cell Biology 141
- Molecular Biology 397
- Oncology 154
- Pathology and Forensic Medicine 55
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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 106 | |
| 2 | 2006 | 87 | |
| 3 | 2007 | 82 | |
| 4 | 2008 | 80 | |
| 5 | 2009 | 55 | |
| 6 | 2015 | 45 | |
| 7 | 2009 | 39 | |
| 8 | 2008 | 28 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 21 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2014 | 5 | |
| 15 | 2019 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2017 | 0 |
About Arata Shimo
Arata Shimo is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 610 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (4 papers), Genomics and Chromatin Dynamics (3 papers), Microtubule and mitosis dynamics (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer Treatment and Pharmacology (2 papers), Peptidase Inhibition and Analysis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (139 citations), Cell Biology (141 citations), Molecular Biology (397 citations), Oncology (154 citations) and Pathology and Forensic Medicine (55 citations). Arata Shimo has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Toyomasa Katagiri, Toshihiko Nishidate, Yusuke Nakamura, Mamoru Fukuda, Tomohiko Ohta, Koichi Hirata, Jae‐Hyun Park, Meng‐Lay Lin, Taro Shuin and Tomoaki Fujioka. Their work appears in journals such as Breast Cancer, Cancer Science, Biological and Pharmaceutical Bulletin, The Journal of Urology and Clinical Breast Cancer.
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.