Hiroshi Nakato
- Cell Biology top 0.5%
- Proteoglycans and glycosaminoglycans research 28
- Hippo pathway signaling and YAP/TAZ 14
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 19
- Glycosylation and Glycoproteins Research 9
- Wnt/β-catenin signaling in development and cancer 7
- Aging top 5%
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- Neurobiology and Insect Physiology Research 17
- Genetics top 5%
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- Silk-based biomaterials and applications 16
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- Invertebrate Immune Response Mechanisms 10
- Co-authors
- Scott B. SelleckSusumu IzumiKeisuke KamimuraKoji KimataSatomi TakeoShiro TominoYoshiki HayashiTakuya Akiyama
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Nature (1 paper)Journal of Biological Chemistry (8 papers)The Journal of Cell Biology (3 papers)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Hiroshi Nakato
59 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 98
- Cell Biology 1.4k
- Molecular Biology 2.1k
- Aging 47
- Cellular and Molecular Neuroscience 452
- Genetics 531
Countries citing papers authored by Hiroshi Nakato
This map shows the geographic impact of Hiroshi Nakato'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 Hiroshi Nakato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Nakato more than expected).
Fields of papers citing papers by Hiroshi Nakato
This network shows the impact of papers produced by Hiroshi Nakato. 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 Hiroshi Nakato. The network helps show where Hiroshi Nakato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroshi Nakato, 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 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2018 | 11 | |
| 6 | 2016 | 51 | |
| 7 | 2015 | 9 | |
| 8 | 2013 | 24 | |
| 9 | 2011 | 37 | |
| 10 | 2010 | 56 | |
| 11 | 2010 | 24 | |
| 12 | 2006 | 105 | |
| 13 | 2004 | 3 | |
| 14 | 2004 | 92 | |
| 15 | 2003 | 4 | |
| 16 | 2003 | 33 | |
| 17 | 2002 | 122 | |
| 18 | 2001 | 61 | |
| 19 | 1999 | 25 | |
| 20 | 1997 | 23 |
About Hiroshi Nakato
Hiroshi Nakato is a scholar working on Cell Biology, Biomaterials and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (28 papers), Developmental Biology and Gene Regulation (19 papers), Neurobiology and Insect Physiology Research (17 papers), Silk-based biomaterials and applications (16 papers), Hippo pathway signaling and YAP/TAZ (14 papers), Invertebrate Immune Response Mechanisms (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). The work is most often cited by research in Cell Biology (1.4k citations), Molecular Biology (2.1k citations) and Aging (47 citations). Hiroshi Nakato has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Scott B. Selleck, Susumu Izumi, Keisuke Kamimura, Koji Kimata, Satomi Takeo, Shiro Tomino, Yoshiki Hayashi, Takuya Akiyama, Satoru Kobayashi and Toru Togawa. Their work appears in journals such as Nature, 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.