Hiroshi Kiyonari
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 0.2%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 19
- Cell Biology 52
- Microtubule and mitosis dynamics 13
- Co-authors
- Takaya AbeShinichi AizawaGo ShioiKazuki NakaoHiroshi SasakiNoriyuki NishiokaFumio MatsuzakiMitsunori Ota
- Journals
- Scientific Reports (15 papers)Development (13 papers)Proceedings of the National Academy of Sciences (12 papers)Nature Communications (11 papers)Biochemical and Biophysical Research Communications (9 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroshi Kiyonari
243 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Developmental Neuroscience 806
- Cell Biology 2.3k
- Biophysics 712
- Molecular Biology 7.7k
- Aging 158
Countries citing papers authored by Hiroshi Kiyonari
This map shows the geographic impact of Hiroshi Kiyonari'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 Hiroshi Kiyonari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kiyonari more than expected).
Fields of papers citing papers by Hiroshi Kiyonari
This network shows the impact of papers produced by Hiroshi Kiyonari. 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 Hiroshi Kiyonari. The network helps show where Hiroshi Kiyonari may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Kiyonari, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 78 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 0 | |
| 8 | 2019 | 30 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 34 | |
| 11 | 2017 | 19 | |
| 12 | 2015 | 62 | |
| 13 | 2013 | 173 | |
| 14 | 2012 | 122 | |
| 15 | IL-33 is a crucial amplifier of innate rather than acquired immunity Hit paper breakdown → | 2010 | 534 |
| 16 | 2010 | 62 | |
| 17 | 2009 | 131 | |
| 18 | 2009 | 93 | |
| 19 | 2009 | 60 | |
| 20 | 2008 | 181 |
About Hiroshi Kiyonari
Hiroshi Kiyonari is a scholar working on Developmental Neuroscience, Cell Biology, Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 251 papers that have together received 13.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (27 papers), RNA Research and Splicing (22 papers), Pluripotent Stem Cells Research (21 papers), Congenital heart defects research (19 papers), Neurogenesis and neuroplasticity mechanisms (19 papers), CRISPR and Genetic Engineering (14 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Microtubule and mitosis dynamics (13 papers). The work is most often cited by research in Developmental Neuroscience (806 citations), Cell Biology (2.3k citations), Biophysics (712 citations), Molecular Biology (7.7k citations) and Aging (158 citations). Hiroshi Kiyonari has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takaya Abe, Shinichi Aizawa, Go Shioi, Kazuki Nakao, Hiroshi Sasaki, Noriyuki Nishioka, Fumio Matsuzaki, Mitsunori Ota, Ken‐ichi Inoue and Hiroki R. Ueda. Their work appears in journals such as Scientific Reports, Development, Proceedings of the National Academy of Sciences, Nature Communications and Biochemical and Biophysical Research Communications.
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.