Shun’ichi Kuroda
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 5%
- Cell Biology top 2%
- Immunology top 5%
- Co-authors
- Katsuyuki TanizawaMasaharu SomiyaKenji TatematsuMasumi IijimaToshihide OkajimaUshio KikkawaKang TingNobuo Yoshimoto
- Topics
- RNA Interference and Gene Delivery (36 papers)Hepatitis B Virus Studies (30 papers)Immunotherapy and Immune Responses (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Shun’ichi Kuroda
194 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 3.7k
- Cellular and Molecular Neuroscience 749
- Biomedical Engineering 744
- Cell Biology 659
- Immunology 655
Countries citing papers authored by Shun’ichi Kuroda
This map shows the geographic impact of Shun’ichi Kuroda'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 Shun’ichi Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun’ichi Kuroda more than expected).
Fields of papers citing papers by Shun’ichi Kuroda
This network shows the impact of papers produced by Shun’ichi Kuroda. 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 Shun’ichi Kuroda. The network helps show where Shun’ichi Kuroda may publish in the future.
Co-authorship network of co-authors of Shun’ichi Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Shun’ichi Kuroda. A scholar is included among the top collaborators of Shun’ichi Kuroda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun’ichi Kuroda. Shun’ichi Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 29 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 16 | |
| 12 | 27 | |
| 13 | 102 | |
| 14 | 15 | |
| 15 | 20 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 64 | |
| 20 | 229 |
About Shun’ichi Kuroda
Shun’ichi Kuroda is a scholar working on Molecular Biology, Hepatology and Immunology, having authored 196 papers that have together received 5.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (36 papers), Hepatitis B Virus Studies (30 papers) and Immunotherapy and Immune Responses (23 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Cellular and Molecular Neuroscience (749 citations) and Cell Biology (659 citations). Shun’ichi Kuroda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Katsuyuki Tanizawa, Masaharu Somiya, Kenji Tatematsu, Masumi Iijima, Toshihide Okajima, Ushio Kikkawa, Kang Ting, Nobuo Yoshimoto, Andrés D. Maturana and Hiroaki Konishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.