Mika Kimura
Impact in
- Aging top 2%
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- Innovation and Socioeconomic Development
Papers in
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- Epigenetics and DNA Methylation 16
- CRISPR and Genetic Engineering 8
- RNA modifications and cancer 7
- Cancer-related gene regulation 5
- Pluripotent Stem Cells Research 4
- Metabolism, Diabetes, and Cancer 4
- Genetics 14
- Genetic Syndromes and Imprinting 7
- Co-authors
- Takuro Horii (29 shared papers)Izuho Hatada (25 shared papers)Sumiyo Morita (29 shared papers)Kinichi Nakashima (2 shared papers)Takahiro Ochiya (4 shared papers)Kenichiro Hata (2 shared papers)Kazuhiko Nakabayashi (2 shared papers)Hirofumi Noguchi (1 shared paper)
- Journals
- International Journal of Molecular Sciences (6 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)PeerJ (2 papers)Cellular Signalling (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Mika Kimura
39 papers receiving 2.1k citations
Mika Kimura's Hit Papers
Peers
Comparison fields: 5 of 102
- Aging 111
- Business and International Management 124
- Molecular Biology 1.8k
- Cancer Research 302
- Genetics 486
Countries citing papers authored by Mika Kimura
This map shows the geographic impact of Mika Kimura'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 Mika Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Kimura more than expected).
Fields of papers citing papers by Mika Kimura
This network shows the impact of papers produced by Mika Kimura. 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 Mika Kimura. The network helps show where Mika Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika Kimura, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted DNA demethylation in vivo using dCas9–peptide repeat and scFv–TET1 catalytic domain fusions Hit paper breakdown → | 2016 | 406 |
| 2 | 2016 | 299 | |
| 3 | 2014 | 156 | |
| 4 | 2013 | 127 | |
| 5 | 2007 | 122 | |
| 6 | 2008 | 103 | |
| 7 | 2013 | 92 | |
| 8 | 2006 | 85 | |
| 9 | 2008 | 68 | |
| 10 | 2017 | 58 | |
| 11 | 2017 | 55 | |
| 12 | 1999 | 53 | |
| 13 | 2020 | 50 | |
| 14 | 2009 | 40 | |
| 15 | 2007 | 40 | |
| 16 | 2013 | 39 | |
| 17 | 2020 | 35 | |
| 18 | 2012 | 32 | |
| 19 | 2013 | 30 | |
| 20 | 2015 | 27 |
About Mika Kimura
Mika Kimura is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Physiology, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), CRISPR and Genetic Engineering (8 papers), RNA modifications and cancer (7 papers), Genetic Syndromes and Imprinting (7 papers), Cancer-related gene regulation (5 papers), Pancreatic function and diabetes (5 papers), Pluripotent Stem Cells Research (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Aging (111 citations), Business and International Management (124 citations), Molecular Biology (1.8k citations), Cancer Research (302 citations) and Genetics (486 citations). Mika Kimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Takuro Horii, Izuho Hatada, Sumiyo Morita, Kinichi Nakashima, Takahiro Ochiya, Kenichiro Hata, Kazuhiko Nakabayashi, Hirofumi Noguchi, Hideyuki Nakashima and Kohji OKAMURA. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, PLoS ONE, PeerJ and Cellular Signalling.
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.