Ikuko Koya
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
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- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 2
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Hideyuki Okano (12 shared papers)Takashi Sasaki (4 shared papers)Jun Kudoh (4 shared papers)Atsushi Shimizu (3 shared papers)Masaya Nakamura (4 shared papers)Yohei Okada (2 shared papers)Eiji Ikeda (2 shared papers)Tsukasa Sanosaka (4 shared papers)
- Journals
- International Immunology (2 papers)Genes & Development (2 papers)Stem Cell Reports (2 papers)Nature Communications (1 paper)BioMed Research International (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ikuko Koya
14 papers receiving 605 citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 82
- Genetics 84
- Aging 15
- Cellular and Molecular Neuroscience 98
- Molecular Biology 335
Countries citing papers authored by Ikuko Koya
This map shows the geographic impact of Ikuko Koya'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 Ikuko Koya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuko Koya more than expected).
Fields of papers citing papers by Ikuko Koya
This network shows the impact of papers produced by Ikuko Koya. 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 Ikuko Koya. The network helps show where Ikuko Koya may publish in the future.
Co-authors
The 25 scholars most cited alongside Ikuko Koya, 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 | 167 | |
| 2 | 2017 | 70 | |
| 3 | 2016 | 68 | |
| 4 | 2019 | 48 | |
| 5 | 2017 | 46 | |
| 6 | 2023 | 34 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2014 | 24 | |
| 12 | 2020 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2022 | 6 |
About Ikuko Koya
Ikuko Koya is a scholar working on Molecular Biology, Developmental Neuroscience, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 608 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (2 papers), Nerve injury and regeneration (2 papers), T-cell and B-cell Immunology (2 papers), Spinal Cord Injury Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Developmental Neuroscience (82 citations), Genetics (84 citations), Aging (15 citations), Cellular and Molecular Neuroscience (98 citations) and Molecular Biology (335 citations). Ikuko Koya has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideyuki Okano, Takashi Sasaki, Jun Kudoh, Atsushi Shimizu, Masaya Nakamura, Yohei Okada, Eiji Ikeda, Tsukasa Sanosaka, Jun Kohyama and Soraya Nishimura. Their work appears in journals such as International Immunology, Genes & Development, Stem Cell Reports, Nature Communications and BioMed Research International.
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.