Katsuyuki Shiroguchi
- Immunology top 10%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Structural Biology top 10%
- Cell Biology top 5%
- Microtubule and mitosis dynamics 6
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- Mitochondrial Function and Pathology 4
- Protist diversity and phylogeny 4
- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
- Biophysics top 5%
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- Cardiomyopathy and Myosin Studies 4
- Co-authors
- X. Sunney XieKazuhiko KinositaPeter A. SimsTony Z. JiaYoko Y. ToyoshimaHao GeHuiyi ChenEiryo Kawakami
- Journals
- Nature Communications (3 papers)The Journal of Experimental Medicine (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Katsuyuki Shiroguchi
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Immunology 366
- Structural Biology 23
- Cell Biology 218
- Molecular Biology 675
- Biophysics 51
Countries citing papers authored by Katsuyuki Shiroguchi
This map shows the geographic impact of Katsuyuki Shiroguchi'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 Katsuyuki Shiroguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuyuki Shiroguchi more than expected).
Fields of papers citing papers by Katsuyuki Shiroguchi
This network shows the impact of papers produced by Katsuyuki Shiroguchi. 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 Katsuyuki Shiroguchi. The network helps show where Katsuyuki Shiroguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katsuyuki Shiroguchi, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 79 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 40 | |
| 11 | 2019 | 57 | |
| 12 | 2017 | 18 | |
| 13 | 2015 | 156 | |
| 14 | 2014 | 20 | |
| 15 | 2012 | 193 | |
| 16 | 2011 | 23 | |
| 17 | 2007 | 4 | |
| 18 | 2005 | 19 | |
| 19 | 2004 | 73 | |
| 20 | 2001 | 37 |
About Katsuyuki Shiroguchi
Katsuyuki Shiroguchi is a scholar working on Immunology, Cell Biology and Biophysics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Immune Cell Function and Interaction (6 papers), Mitochondrial Function and Pathology (4 papers), Protist diversity and phylogeny (4 papers), Cardiomyopathy and Myosin Studies (4 papers), T-cell and B-cell Immunology (4 papers), Single-cell and spatial transcriptomics (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Immunology (366 citations), Structural Biology (23 citations) and Cell Biology (218 citations). Katsuyuki Shiroguchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include X. Sunney Xie, Kazuhiko Kinosita, Peter A. Sims, Tony Z. Jia, Yoko Y. Toyoshima, Hao Ge, Huiyi Chen, Eiryo Kawakami, Takaharu Okada and Kentaro Fujii. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Advances in experimental medicine and biology and Cell Reports.
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.