Masataka Umitsu
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Endoplasmic Reticulum Stress and Disease
- Hippo pathway signaling and YAP/TAZ
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 2
- Protein Kinase Regulation and GTPase Signaling 2
- Ubiquitin and proteasome pathways 1
- S100 Proteins and Annexins 1
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- Liver physiology and pathology 5
- Co-authors
- Kunio Matsumoto (5 shared papers)Arpita Singha Roy (1 shared paper)Donald P. Bottaro (1 shared paper)Junichi Takagi (7 shared papers)Mitsuhiko Ikura (3 shared papers)Noboru Ishiyama (2 shared papers)Tsuyoshi Inoshita (1 shared paper)Tohru Natsume (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (2 papers)Molecular Cell (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masataka Umitsu
14 papers receiving 774 citations
Peers
Comparison fields: 5 of 90
- Cell Biology 199
- Hepatology 77
- Molecular Biology 491
- Neurology 73
- Aging 9
Countries citing papers authored by Masataka Umitsu
This map shows the geographic impact of Masataka Umitsu'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 Masataka Umitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Umitsu more than expected).
Fields of papers citing papers by Masataka Umitsu
This network shows the impact of papers produced by Masataka Umitsu. 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 Masataka Umitsu. The network helps show where Masataka Umitsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Masataka Umitsu, 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 | 2017 | 182 | |
| 2 | 2017 | 135 | |
| 3 | 2013 | 101 | |
| 4 | 2016 | 78 | |
| 5 | 2006 | 60 | |
| 6 | 2019 | 60 | |
| 7 | 2009 | 41 | |
| 8 | 2016 | 40 | |
| 9 | 2017 | 32 | |
| 10 | 2012 | 26 | |
| 11 | 2016 | 9 | |
| 12 | 2004 | 8 | |
| 13 | 2018 | 6 | |
| 14 | 2020 | 4 |
About Masataka Umitsu
Masataka Umitsu is a scholar working on Molecular Biology, Hepatology, Cell Biology, Immunology and Infectious Diseases, having authored 14 papers that have together received 782 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related gene regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cellular Mechanics and Interactions (2 papers), Ubiquitin and proteasome pathways (1 paper), S100 Proteins and Annexins (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (199 citations), Hepatology (77 citations), Molecular Biology (491 citations), Neurology (73 citations) and Aging (9 citations). Masataka Umitsu has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kunio Matsumoto, Arpita Singha Roy, Donald P. Bottaro, Junichi Takagi, Mitsuhiko Ikura, Noboru Ishiyama, Tsuyoshi Inoshita, Tohru Natsume, Yuzuru Imai and Chikara Yamashita. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Scientific Reports, Molecular Cell 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.