Tamao Endo
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research 96
- Muscle Physiology and Disorders 40
- Ubiquitin and proteasome pathways 28
- Immunology top 2%
- Galectins and Cancer Biology 29
- Cell Biology top 1%
- Proteoglycans and glycosaminoglycans research 9
- Geriatrics and Gerontology top 2%
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- Genetic Neurodegenerative Diseases 9
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- Carbohydrate Chemistry and Synthesis 38
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- Monoclonal and Polyclonal Antibodies Research 19
- Co-authors
- Hiroshi ManyaAkira KobataTatsushi TodaKeiko Akasaka‐ManyaKazuhiro KobayashiYuri MiuraToshiyuki InazuAtsuro Chiba
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (14 papers)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tamao Endo
195 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 5.8k
- Immunology 1.4k
- Cell Biology 951
- Geriatrics and Gerontology 185
- Cellular and Molecular Neuroscience 701
Countries citing papers authored by Tamao Endo
This map shows the geographic impact of Tamao Endo'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 Tamao Endo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamao Endo more than expected).
Fields of papers citing papers by Tamao Endo
This network shows the impact of papers produced by Tamao Endo. 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 Tamao Endo. The network helps show where Tamao Endo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tamao Endo, 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 | 3 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 15 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 9 | |
| 7 | 2016 | 36 | |
| 8 | 2016 | 163 | |
| 9 | 2015 | 59 | |
| 10 | 2012 | 2 | |
| 11 | 2011 | 32 | |
| 12 | 2010 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 16 | |
| 15 | 2008 | 61 | |
| 16 | 2007 | 37 | |
| 17 | 2006 | 28 | |
| 18 | 2005 | 28 | |
| 19 | 2003 | 39 | |
| 20 | 1999 | 16 |
About Tamao Endo
Tamao Endo is a scholar working on Molecular Biology, Immunology and Cell Biology, having authored 201 papers that have together received 7.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (96 papers), Muscle Physiology and Disorders (40 papers), Carbohydrate Chemistry and Synthesis (38 papers), Galectins and Cancer Biology (29 papers), Ubiquitin and proteasome pathways (28 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Genetic Neurodegenerative Diseases (9 papers) and Proteoglycans and glycosaminoglycans research (9 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Immunology (1.4k citations) and Cell Biology (951 citations). Tamao Endo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Manya, Akira Kobata, Tatsushi Toda, Keiko Akasaka‐Manya, Kazuhiro Kobayashi, Yuri Miura, Toshiyuki Inazu, Atsuro Chiba, Yuji Sato and Mamoru Mizuno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.