Yoshihiro Kushida
- Genetics top 2%
- Mesenchymal stem cell research 15
- Developmental Neuroscience top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Cancer Research top 10%
- MicroRNA in disease regulation 8
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- Pluripotent Stem Cells Research 11
- RNA Research and Splicing 5
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- Tissue Engineering and Regenerative Medicine 4
- Organ Transplantation Techniques and Outcomes 4
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- Liver physiology and pathology 4
- Co-authors
- Mari DezawaShohei WakaoYasumasa KurodaTeiji TominagaKuniyasu NiizumaCesar V. BorlonganHiroki UchidaMasaaki Kitada
- Journals
- SHILAP Revista de lepidopterología (1 paper)Circulation Research (1 paper)Stroke (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Yoshihiro Kushida
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Genetics 568
- Developmental Neuroscience 174
- Neurology 101
- Cancer Research 182
- Molecular Biology 529
Countries citing papers authored by Yoshihiro Kushida
This map shows the geographic impact of Yoshihiro Kushida'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 Yoshihiro Kushida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Kushida more than expected).
Fields of papers citing papers by Yoshihiro Kushida
This network shows the impact of papers produced by Yoshihiro Kushida. 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 Yoshihiro Kushida. The network helps show where Yoshihiro Kushida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshihiro Kushida, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 29 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 72 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 2 | |
| 18 | 2013 | 4 | |
| 19 | 2012 | 4 | |
| 20 | 2011 | 4 |
About Yoshihiro Kushida
Yoshihiro Kushida is a scholar working on Developmental Neuroscience, Genetics and Cancer Research, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Pluripotent Stem Cells Research (11 papers), MicroRNA in disease regulation (8 papers), RNA Research and Splicing (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Liver physiology and pathology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Genetics (568 citations), Developmental Neuroscience (174 citations) and Neurology (101 citations). Yoshihiro Kushida has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Mari Dezawa, Shohei Wakao, Yasumasa Kuroda, Teiji Tominaga, Kuniyasu Niizuma, Cesar V. Borlongan, Hiroki Uchida, Masaaki Kitada, Gregorio D. Chazenbalk and Kazuki Tatsumi. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and Stroke.
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.