Kazuki Kurimoto
- Molecular Biology top 1%
- Pluripotent Stem Cells Research 29
- Epigenetics and DNA Methylation 17
- CRISPR and Genetic Engineering 17
- Single-cell and spatial transcriptomics 9
- Renal and related cancers 7
- Genomics and Chromatin Dynamics 6
- Gene expression and cancer classification 5
- Reproductive Medicine top 1%
- Genetics top 1%
- Aging top 5%
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- Reproductive Biology and Fertility 9
- Co-authors
- Mitinori SaitouHiroshi OhtaKatsuhiko HayashiYukihiro YabutaShinya AramakiYasuhide OhinataMasashi YamajiYoshiyuki Seki
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuki Kurimoto
49 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 5.4k
- Reproductive Medicine 636
- Genetics 1.5k
- Aging 88
- Public Health, Environmental and Occupational Health 1.3k
Countries citing papers authored by Kazuki Kurimoto
This map shows the geographic impact of Kazuki Kurimoto'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 Kazuki Kurimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Kurimoto more than expected).
Fields of papers citing papers by Kazuki Kurimoto
This network shows the impact of papers produced by Kazuki Kurimoto. 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 Kazuki Kurimoto. The network helps show where Kazuki Kurimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuki Kurimoto, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 38 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 78 | |
| 8 | 2019 | 40 | |
| 9 | 2017 | 85 | |
| 10 | 2016 | 101 | |
| 11 | 2016 | 123 | |
| 12 | 2015 | 18 | |
| 13 | 2013 | 187 | |
| 14 | Offspring from Oocytes Derived from in Vitro Primordial Germ Cell–like Cells in Micebreakdown → | 2012 | 535 |
| 15 | 2010 | 22 | |
| 16 | 2010 | 2 | |
| 17 | Conditional knockdown of Nanog induces apoptotic cell death in mouse migrating primordial germ cells | 2009 | 6 |
| 18 | 2008 | 267 | |
| 19 | 2008 | 11 | |
| 20 | 2006 | 210 |
About Kazuki Kurimoto
Kazuki Kurimoto is a scholar working on Molecular Biology, Aging and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 6.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (29 papers), Epigenetics and DNA Methylation (17 papers), CRISPR and Genetic Engineering (17 papers), Single-cell and spatial transcriptomics (9 papers), Reproductive Biology and Fertility (9 papers), Renal and related cancers (7 papers), Genomics and Chromatin Dynamics (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Reproductive Medicine (636 citations) and Genetics (1.5k citations). Kazuki Kurimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitinori Saitou, Hiroshi Ohta, Katsuhiko Hayashi, Yukihiro Yabuta, Shinya Aramaki, Yasuhide Ohinata, Masashi Yamaji, Yoshiyuki Seki, Mayo Shigeta and Kaori Yamanaka. Their work appears in journals such as Development, Biology of Reproduction, Science, Nucleic Acids Research and Nature.
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.