Ryûji Kobayashi
- Molecular Biology top 0.05%
- Oncology top 0.2%
- Cell Biology top 0.2%
- Cancer Research top 0.5%
- Plant Science top 1%
- Co-authors
- Gregory J. HannonDavid BeachHui ZhangBruce StillmanYue XiongDavid CassoJames T. KadonagaTatsuya Hirano
- Topics
- Genomics and Chromatin Dynamics (34 papers)RNA Research and Splicing (27 papers)DNA Repair Mechanisms (24 papers)
- Cited by
- Molecular BiologyAgingOncology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Ryûji Kobayashi
156 papers receiving 23.3k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 19.7k
- Oncology 5.1k
- Cell Biology 2.3k
- Cancer Research 2.2k
- Plant Science 2.2k
Countries citing papers authored by Ryûji Kobayashi
This map shows the geographic impact of Ryûji Kobayashi'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 Ryûji Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryûji Kobayashi more than expected).
Fields of papers citing papers by Ryûji Kobayashi
This network shows the impact of papers produced by Ryûji Kobayashi. 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 Ryûji Kobayashi. The network helps show where Ryûji Kobayashi may publish in the future.
Co-authorship network of co-authors of Ryûji Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ryûji Kobayashi. A scholar is included among the top collaborators of Ryûji Kobayashi 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 Ryûji Kobayashi. Ryûji Kobayashi 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 | Influence of different intensities of brief flow experiences on subjective and objective stress | 8 |
| 4 | 88 | |
| 5 | 155 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 40 | |
| 9 | IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3abreakdown → | 742 |
| 10 | 67 | |
| 11 | A proteomics approach to find a new breast cancer-specific antigenic marker. | 14 |
| 12 | 79 | |
| 13 | 314 | |
| 14 | 465 | |
| 15 | 136 | |
| 16 | 113 | |
| 17 | 75 | |
| 18 | 210 | |
| 19 | 187 | |
| 20 | Crystal structure of minamiite, a new mineral of the alunite group | 23 |
About Ryûji Kobayashi
Ryûji Kobayashi is a scholar working on Molecular Biology, Aging and Spectroscopy, having authored 159 papers that have together received 23.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (34 papers), RNA Research and Splicing (27 papers) and DNA Repair Mechanisms (24 papers). The work is most often cited by research in Molecular Biology (19.7k citations), Aging (338 citations) and Oncology (5.1k citations). Ryûji Kobayashi has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Gregory J. Hannon, David Beach, Hui Zhang, Bruce Stillman, Yue Xiong, David Casso, James T. Kadonaga, Tatsuya Hirano, David H. Hawke and Michiko Hirano. Their work appears in journals such as Nature, Science and Cell.
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.