Kei‐ichiro Ishiguro
- Cell Biology top 1%
- Microtubule and mitosis dynamics 14
- Molecular Biology top 2%
- DNA Repair Mechanisms 27
- Genomics and Chromatin Dynamics 23
- CRISPR and Genetic Engineering 12
- Epigenetics and DNA Methylation 10
- Nuclear Structure and Function 5
- Aging top 5%
- Reproductive Medicine top 5%
- Plant Science top 5%
- Chromosomal and Genetic Variations 11
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- Reproductive Biology and Fertility 12
- Co-authors
- Yoshinori WatanabeShigehiro A. KawashimaYoshihiro NakataniHidesato OgawaDavid M. LivingstonStefan GaubatzTakashi HondaTomoya S. Kitajima
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Nature (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kei‐ichiro Ishiguro
59 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cell Biology 1.1k
- Molecular Biology 2.8k
- Aging 64
- Reproductive Medicine 146
- Plant Science 629
Countries citing papers authored by Kei‐ichiro Ishiguro
This map shows the geographic impact of Kei‐ichiro Ishiguro'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 Kei‐ichiro Ishiguro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei‐ichiro Ishiguro more than expected).
Fields of papers citing papers by Kei‐ichiro Ishiguro
This network shows the impact of papers produced by Kei‐ichiro Ishiguro. 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 Kei‐ichiro Ishiguro. The network helps show where Kei‐ichiro Ishiguro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kei‐ichiro Ishiguro, 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 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 25 | |
| 16 | 2014 | 126 | |
| 17 | 2013 | 9 | |
| 18 | 2009 | 376 | |
| 19 | A Complex with Chromatin Modifiers That Occupies E2F- and Myc-Responsive Genes in G 0 Cellsbreakdown → | 2002 | 610 |
| 20 | 1998 | 59 |
About Kei‐ichiro Ishiguro
Kei‐ichiro Ishiguro is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (27 papers), Genomics and Chromatin Dynamics (23 papers), Microtubule and mitosis dynamics (14 papers), Reproductive Biology and Fertility (12 papers), CRISPR and Genetic Engineering (12 papers), Chromosomal and Genetic Variations (11 papers), Epigenetics and DNA Methylation (10 papers) and Nuclear Structure and Function (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Molecular Biology (2.8k citations) and Aging (64 citations). Kei‐ichiro Ishiguro has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yoshinori Watanabe, Shigehiro A. Kawashima, Yoshihiro Nakatani, Hidesato Ogawa, David M. Livingston, Stefan Gaubatz, Takashi Honda, Tomoya S. Kitajima, Hiroki Shibuya and Takeshi Sakuno. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.