Risa Kashima
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- TGF-β signaling in diseases 2
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 2
- Protein Tyrosine Phosphatases 1
- Genetics 3
- Genetics and Neurodevelopmental Disorders 2
- Connective tissue disorders research 1
- Co-authors
- Akiko Hata (9 shared papers)Giorgio Lagna (3 shared papers)Sougata Roy (2 shared papers)Thomas B. Kornberg (2 shared papers)Thomas Hanke (2 shared papers)Stefan Knapp (2 shared papers)Lu Yao (1 shared paper)Randi J. Hagerman (1 shared paper)
- Journals
- Science Signaling (2 papers)Critical Reviews in Biochemistry and Molecular Biology (1 paper)The EMBO Journal (1 paper)Nature Communications (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Risa Kashima
11 papers receiving 469 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 152
- Molecular Biology 345
- Genetics 35
- Neurology 43
- Genetics 63
Countries citing papers authored by Risa Kashima
This map shows the geographic impact of Risa Kashima'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 Risa Kashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risa Kashima more than expected).
Fields of papers citing papers by Risa Kashima
This network shows the impact of papers produced by Risa Kashima. 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 Risa Kashima. The network helps show where Risa Kashima may publish in the future.
Co-authors
The 25 scholars most cited alongside Risa Kashima, 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 | 2015 | 152 | |
| 2 | 2017 | 81 | |
| 3 | 2016 | 53 | |
| 4 | 2017 | 38 | |
| 5 | 2015 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2013 | 31 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 16 | |
| 10 | 2022 | 12 | |
| 11 | Apology translation in diplomacy: case study of Prime Minister Abe's apology regarding "comfort women" | 2009 | 1 |
About Risa Kashima
Risa Kashima is a scholar working on Molecular Biology, Genetics, Neurology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 11 papers that have together received 474 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers), Connective tissue disorders research (1 paper), Bone health and treatments (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cancer Research (152 citations), Molecular Biology (345 citations), Genetics (35 citations), Neurology (43 citations) and Genetics (63 citations). Risa Kashima has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Akiko Hata, Giorgio Lagna, Sougata Roy, Thomas B. Kornberg, Thomas Hanke, Stefan Knapp, Lu Yao, Randi J. Hagerman, Patricio Leyton and Patrick Redmond. Their work appears in journals such as Science Signaling, Critical Reviews in Biochemistry and Molecular Biology, The EMBO Journal, Nature Communications and Journal of Molecular Biology.
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.