Risa Nonaka
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Pluripotent Stem Cells Research 2
- Genetics 8
- Connective tissue disorders research 8
- Co-authors
- Eri Arikawa‐Hirasawa (10 shared papers)Yoshihiko Yamada (6 shared papers)Nobutaka Hattori (6 shared papers)Hiroshi Wachi (6 shared papers)Susana de Vega (5 shared papers)Fumiaki Sato (5 shared papers)Zsolt Urbán (4 shared papers)Yoshiyuki Seyama (3 shared papers)
- Journals
- Neuromuscular Disorders (1 paper)The Journal of Biochemistry (1 paper)Archives of Biochemistry and Biophysics (1 paper)American Journal Of Pathology (1 paper)Matrix Biology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Risa Nonaka
22 papers receiving 607 citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 48
- Immunology and Allergy 66
- Cell Biology 167
- Biochemistry 74
- Genetics 181
Countries citing papers authored by Risa Nonaka
This map shows the geographic impact of Risa Nonaka'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 Risa Nonaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risa Nonaka more than expected).
Fields of papers citing papers by Risa Nonaka
This network shows the impact of papers produced by Risa Nonaka. 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 Risa Nonaka. The network helps show where Risa Nonaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Risa Nonaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2014 | 68 | |
| 3 | 2007 | 63 | |
| 4 | 2015 | 47 | |
| 5 | 2008 | 29 | |
| 6 | 2015 | 29 | |
| 7 | 2018 | 28 | |
| 8 | 2017 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2007 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2009 | 21 | |
| 14 | 2023 | 19 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 15 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2021 | 4 |
About Risa Nonaka
Risa Nonaka is a scholar working on Molecular Biology, Genetics, Cell Biology, Immunology and Allergy and Cancer Research, having authored 22 papers that have together received 612 indexed citations. Recurring topics across this work include Connective tissue disorders research (8 papers), Cell Adhesion Molecules Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Protease and Inhibitor Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), Neuroscience and Neural Engineering (2 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Immunology and Allergy (66 citations), Cell Biology (167 citations), Biochemistry (74 citations) and Genetics (181 citations). Risa Nonaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Eri Arikawa‐Hirasawa, Yoshihiko Yamada, Nobutaka Hattori, Hiroshi Wachi, Susana de Vega, Fumiaki Sato, Zsolt Urbán, Yoshiyuki Seyama, Barry Starcher and Aurélien Kerever. Their work appears in journals such as Neuromuscular Disorders, The Journal of Biochemistry, Archives of Biochemistry and Biophysics, American Journal Of Pathology and Matrix Biology.
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.