Shin Isogai
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 6
- Receptor Mechanisms and Signaling 6
- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Spectroscopy top 5%
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- Neuroscience and Neuropharmacology Research 2
- Biophysics top 10%
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- Monoclonal and Polyclonal Antibodies Research 3
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- Endoplasmic Reticulum Stress and Disease 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Masahiro ShirakawaHidehito TochioStephan GrzesiekTakeshi TennoChristian OpitzYutaka ItoHidekazu HiroakiKohsuke Inomata
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanSwitzerlandTaiwan
In The Last Decade
Shin Isogai
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 882
- Spectroscopy 169
- Cellular and Molecular Neuroscience 138
- Biophysics 37
- Radiology, Nuclear Medicine and Imaging 102
Countries citing papers authored by Shin Isogai
This map shows the geographic impact of Shin Isogai'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 Shin Isogai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin Isogai more than expected).
Fields of papers citing papers by Shin Isogai
This network shows the impact of papers produced by Shin Isogai. 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 Shin Isogai. The network helps show where Shin Isogai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shin Isogai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 6 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 16 | |
| 6 | 2018 | 47 | |
| 7 | 2016 | 144 | |
| 8 | 2015 | 7 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 41 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 156 | |
| 13 | 2011 | 118 | |
| 14 | 2010 | 17 | |
| 15 | 2010 | 4 | |
| 16 | 2009 | 369 | |
| 17 | [Protein modification by SUMO]. | 2007 | 4 |
About Shin Isogai
Shin Isogai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Molecular Biology (882 citations), Spectroscopy (169 citations) and Cellular and Molecular Neuroscience (138 citations). Shin Isogai has collaborated with scholars based in Japan, Switzerland and Taiwan. Frequent co-authors include Masahiro Shirakawa, Hidehito Tochio, Stephan Grzesiek, Takeshi Tenno, Christian Opitz, Yutaka Ito, Hidekazu Hiroaki, Kohsuke Inomata, Shiroh Futaki and Ikuhiko Nakase. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.