Go Itakura
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
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- Pluripotent Stem Cells Research 11
- dental development and anomalies 2
-
- Neurogenesis and neuroplasticity mechanisms 7
- Co-authors
- Hideyuki Okano (16 shared papers)Masaya Nakamura (16 shared papers)Soraya Nishimura (9 shared papers)Yoshiaki Toyama (8 shared papers)Yoshiomi Kobayashi (8 shared papers)Hiroki Iwai (7 shared papers)Jun Kohyama (8 shared papers)Keiko Sugai (8 shared papers)
- Journals
- Stem Cell Reports (4 papers)PLoS ONE (3 papers)Stem Cells Translational Medicine (2 papers)Neuroscience Research (1 paper)Stem Cell Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Go Itakura
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 314
- Genetics 291
- Cellular and Molecular Neuroscience 428
- Pathology and Forensic Medicine 250
- Molecular Biology 672
Countries citing papers authored by Go Itakura
This map shows the geographic impact of Go Itakura'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 Go Itakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Itakura more than expected).
Fields of papers citing papers by Go Itakura
This network shows the impact of papers produced by Go Itakura. 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 Go Itakura. The network helps show where Go Itakura may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Itakura, 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 | 2012 | 228 | |
| 2 | 2015 | 167 | |
| 3 | 2015 | 153 | |
| 4 | 2017 | 98 | |
| 5 | 2018 | 96 | |
| 6 | 2016 | 76 | |
| 7 | 2018 | 66 | |
| 8 | 2015 | 59 | |
| 9 | 2015 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2021 | 25 | |
| 13 | 2014 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2014 | 9 | |
| 16 | 2016 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 0 |
About Go Itakura
Go Itakura is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Physiology and Surgery, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (5 papers), Biomedical Ethics and Regulation (4 papers), Spinal Cord Injury Research (3 papers), dental development and anomalies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (314 citations), Genetics (291 citations), Cellular and Molecular Neuroscience (428 citations), Pathology and Forensic Medicine (250 citations) and Molecular Biology (672 citations). Go Itakura has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideyuki Okano, Masaya Nakamura, Soraya Nishimura, Yoshiaki Toyama, Yoshiomi Kobayashi, Hiroki Iwai, Jun Kohyama, Keiko Sugai, Akio Iwanami and Morio Matsumoto. Their work appears in journals such as Stem Cell Reports, PLoS ONE, Stem Cells Translational Medicine, Neuroscience Research and Stem Cell Research.
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.