Kiyoshi Nagai
- Molecular Biology top 0.5%
- Cell Biology top 0.5%
- Biomedical Engineering top 5%
- Control and Systems Engineering top 1%
- Physiology top 5%
- Co-authors
- Chris OubridgeHans Christian ThøgersenMax E. WilkinsonAndrew J. NewmanJade LiTeizo KitagawaPhilip R. EvansClément Charenton
- Topics
- RNA and protein synthesis mechanisms (68 papers)RNA Research and Splicing (61 papers)RNA modifications and cancer (48 papers)
- Journals
- NatureScienceChemical Reviews
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Kiyoshi Nagai
207 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 7.4k
- Cell Biology 2.1k
- Biomedical Engineering 909
- Control and Systems Engineering 799
- Physiology 729
Countries citing papers authored by Kiyoshi Nagai
This map shows the geographic impact of Kiyoshi Nagai'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 Kiyoshi Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Nagai more than expected).
Fields of papers citing papers by Kiyoshi Nagai
This network shows the impact of papers produced by Kiyoshi Nagai. 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 Kiyoshi Nagai. The network helps show where Kiyoshi Nagai may publish in the future.
Co-authorship network of co-authors of Kiyoshi Nagai
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Nagai. A scholar is included among the top collaborators of Kiyoshi Nagai 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 Kiyoshi Nagai. Kiyoshi Nagai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 37 | |
| 4 | 88 | |
| 5 | 180 | |
| 6 | 168 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 162 | |
| 10 | 41 | |
| 11 | Deposition mechanism of trace metals on silicon wafer surfaces in ultra pure water | 0 |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | Crystal structure of the RNA-binding domain of the U1 small nuclear ribonucleoprotein Abreakdown → | 572 |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 3 |
About Kiyoshi Nagai
Kiyoshi Nagai is a scholar working on Cell Biology, Control and Systems Engineering and Molecular Biology, having authored 215 papers that have together received 10.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (68 papers), RNA Research and Splicing (61 papers) and RNA modifications and cancer (48 papers). The work is most often cited by research in Cell Biology (2.1k citations), Structural Biology (156 citations) and Molecular Biology (7.4k citations). Kiyoshi Nagai has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Chris Oubridge, Hans Christian Thøgersen, Max E. Wilkinson, Andrew J. Newman, Jade Li, Teizo Kitagawa, Philip R. Evans, Clément Charenton, Wojciech P. Galej and Gabriele Varani. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.