Shugo Tohyama
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 44
- CRISPR and Genetic Engineering 19
- Congenital heart defects research 12
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine 29
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 8
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- Neuroscience and Neural Engineering 9
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- Cardiomyopathy and Myosin Studies 3
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- 3D Printing in Biomedical Research 12
- Co-authors
- Keiichi FukudaShinsuke YuasaTomohisa SekiJun FujitaYoshikazu KishinoToru EgashiraMarina OkadaHideaki Kanazawa
- Cited by
- Molecular BiologySurgeryBiomaterials
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)PLoS ONE (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Shugo Tohyama
67 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.5k
- Surgery 745
- Biomaterials 190
- Cellular and Molecular Neuroscience 257
- Cardiology and Cardiovascular Medicine 216
Countries citing papers authored by Shugo Tohyama
This map shows the geographic impact of Shugo Tohyama'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 Shugo Tohyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shugo Tohyama more than expected).
Fields of papers citing papers by Shugo Tohyama
This network shows the impact of papers produced by Shugo Tohyama. 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 Shugo Tohyama. The network helps show where Shugo Tohyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shugo Tohyama, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 11 | |
| 15 | 2014 | 53 | |
| 16 | 2014 | 10 | |
| 17 | 2013 | 13 | |
| 18 | 2010 | 15 | |
| 19 | 2007 | 45 | |
| 20 | 2006 | 20 |
About Shugo Tohyama
Shugo Tohyama is a scholar working on Aging, Molecular Biology and Surgery, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (44 papers), Tissue Engineering and Regenerative Medicine (29 papers), CRISPR and Genetic Engineering (19 papers), Congenital heart defects research (12 papers), 3D Printing in Biomedical Research (12 papers), Neuroscience and Neural Engineering (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Surgery (745 citations) and Biomaterials (190 citations). Shugo Tohyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Keiichi Fukuda, Shinsuke Yuasa, Tomohisa Seki, Jun Fujita, Yoshikazu Kishino, Toru Egashira, Marina Okada, Hideaki Kanazawa, Hisayuki Hashimoto and Hidenori Tani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.