Keisuke Nimura
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 9
- Cancer-related gene regulation 7
- RNA Interference and Gene Delivery 6
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 3
- Genetics 10
- Virus-based gene therapy research 5
- Co-authors
- Yasufumi Kaneda (30 shared papers)Kiyoe Ura (7 shared papers)Masaki Mori (3 shared papers)Katsuto Tamai (7 shared papers)Hironori Nakagami (2 shared papers)Robert J. Schwartz (2 shared papers)Masahito Ikawa (2 shared papers)Masaru Okabe (1 shared paper)
- Journals
- PLoS ONE (4 papers)Scientific Reports (2 papers)Stem Cells (2 papers)Tetrahedron Letters (2 papers)Cancers (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keisuke Nimura
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.2k
- Cancer Research 224
- Genetics 110
- Rehabilitation 65
- Cell Biology 167
Countries citing papers authored by Keisuke Nimura
This map shows the geographic impact of Keisuke Nimura'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 Keisuke Nimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Nimura more than expected).
Fields of papers citing papers by Keisuke Nimura
This network shows the impact of papers produced by Keisuke Nimura. 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 Keisuke Nimura. The network helps show where Keisuke Nimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Nimura, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 323 | |
| 2 | 2012 | 213 | |
| 3 | 2011 | 189 | |
| 4 | 2005 | 113 | |
| 5 | 2015 | 94 | |
| 6 | 2007 | 90 | |
| 7 | 2009 | 87 | |
| 8 | 2008 | 78 | |
| 9 | 2019 | 58 | |
| 10 | 2006 | 54 | |
| 11 | 2010 | 53 | |
| 12 | 2013 | 53 | |
| 13 | 2013 | 52 | |
| 14 | 2013 | 34 | |
| 15 | 2010 | 32 | |
| 16 | 2019 | 30 | |
| 17 | 2012 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2014 | 27 | |
| 20 | 2021 | 26 |
About Keisuke Nimura
Keisuke Nimura is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Cancer-related gene regulation (7 papers), RNA Interference and Gene Delivery (6 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (6 papers), Virus-based gene therapy research (5 papers), RNA modifications and cancer (5 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (224 citations), Genetics (110 citations), Rehabilitation (65 citations) and Cell Biology (167 citations). Keisuke Nimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasufumi Kaneda, Kiyoe Ura, Masaki Mori, Katsuto Tamai, Hironori Nakagami, Robert J. Schwartz, Masahito Ikawa, Masaru Okabe, Hidetaka Shiratori and Gerardo Rodriguez‐Araujo. Their work appears in journals such as PLoS ONE, Scientific Reports, Stem Cells, Tetrahedron Letters and Cancers.
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.