Shouhei Kobayashi
- Molecular Biology top 10%
- Epidemiology
- Biomedical Engineering
- Cell Biology top 10%
- Genetics
- Co-authors
- Tokuko HaraguchiYasushi HiraokaHiroko OsakadaTadashi NakanoYutaka OkaieTamotsu YoshimoriSílvia PujalsShiroh Futaki
- Topics
- RNA Interference and Gene Delivery (5 papers)Autophagy in Disease and Therapy (5 papers)Genomics and Chromatin Dynamics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Shouhei Kobayashi
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 699
- Epidemiology 246
- Biomedical Engineering 211
- Cell Biology 146
- Genetics 67
Countries citing papers authored by Shouhei Kobayashi
This map shows the geographic impact of Shouhei 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 Shouhei Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouhei Kobayashi more than expected).
Fields of papers citing papers by Shouhei Kobayashi
This network shows the impact of papers produced by Shouhei 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 Shouhei Kobayashi. The network helps show where Shouhei Kobayashi may publish in the future.
Co-authorship network of co-authors of Shouhei Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Shouhei Kobayashi. A scholar is included among the top collaborators of Shouhei 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 Shouhei Kobayashi. Shouhei 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 | 29 | |
| 2 | 54 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | Depletion of autophagy receptor p62/SQSTM1 enhances the efficiency of gene delivery in mammalian cells | 1 |
| 7 | 19 | |
| 8 | 58 | |
| 9 | 49 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 55 | |
| 13 | 226 | |
| 14 | 178 | |
| 15 | 2 | |
| 16 | 67 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | 48 | |
| 20 | 103 |
About Shouhei Kobayashi
Shouhei Kobayashi is a scholar working on Structural Biology, Molecular Biology and Physiology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Autophagy in Disease and Therapy (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Structural Biology (42 citations), Physiology (49 citations) and Molecular Biology (699 citations). Shouhei Kobayashi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Tokuko Haraguchi, Yasushi Hiraoka, Hiroko Osakada, Tadashi Nakano, Yutaka Okaie, Tamotsu Yoshimori, Sílvia Pujals, Shiroh Futaki, Ikuhiko Nakase and Sayaka Katayama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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.