Tadayuki Tsujita
- Immunology top 2%
- Immune Response and Inflammation 10
- Microbiology top 2%
- Antimicrobial Peptides and Activities 6
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress 12
- RNA Interference and Gene Delivery 3
- Ubiquitin and proteasome pathways 3
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 5
- Endocrinology top 5%
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- Endoplasmic Reticulum Stress and Disease 4
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- Prosthetics and Rehabilitation Robotics 3
- Co-authors
- Tsukasa SeyaMisako MatsumotoHiroyuki OshiumiMasayuki YamamotoJohn D. HayesKyoko ShidaKazuho IkeoAya Matsuo
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Medicine (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Tadayuki Tsujita
47 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Immunology 1.2k
- Microbiology 193
- Molecular Biology 1.3k
- Cancer Research 261
- Endocrinology 81
Countries citing papers authored by Tadayuki Tsujita
This map shows the geographic impact of Tadayuki Tsujita'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 Tadayuki Tsujita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadayuki Tsujita more than expected).
Fields of papers citing papers by Tadayuki Tsujita
This network shows the impact of papers produced by Tadayuki Tsujita. 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 Tadayuki Tsujita. The network helps show where Tadayuki Tsujita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadayuki Tsujita, 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 | 4 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 1 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 7 | |
| 8 | 2016 | 135 | |
| 9 | 2015 | 179 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 30 | |
| 12 | 2011 | 64 | |
| 13 | 2011 | 129 | |
| 14 | 2009 | 220 | |
| 15 | 2008 | 296 | |
| 16 | 2008 | 29 | |
| 17 | 2007 | 53 | |
| 18 | 2007 | 63 | |
| 19 | 2005 | 70 | |
| 20 | 2003 | 283 |
About Tadayuki Tsujita
Tadayuki Tsujita is a scholar working on Microbiology, Immunology and Developmental Neuroscience, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (12 papers), Immune Response and Inflammation (10 papers), Antimicrobial Peptides and Activities (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), RNA Interference and Gene Delivery (3 papers), Ubiquitin and proteasome pathways (3 papers) and Prosthetics and Rehabilitation Robotics (3 papers). The work is most often cited by research in Immunology (1.2k citations), Microbiology (193 citations) and Molecular Biology (1.3k citations). Tadayuki Tsujita has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tsukasa Seya, Misako Matsumoto, Hiroyuki Oshiumi, Masayuki Yamamoto, John D. Hayes, Kyoko Shida, Kazuho Ikeo, Aya Matsuo, Hisae Kasai and Fumiki Katsuoka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.