Shigeo Sato
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 6
- Cancer Research top 2%
- Molecular Biology top 1%
- RNA Research and Splicing 13
- Genomics and Chromatin Dynamics 12
- RNA and protein synthesis mechanisms 9
- Cancer therapeutics and mechanisms 7
- Ubiquitin and proteasome pathways 6
- RNA modifications and cancer 6
- Cell Biology top 2%
- Immunology top 5%
- Immunotherapy and Immune Responses 6
- Co-authors
- Ronald ConawayJoan ConawayChieri Tomomori‐SatoNaoya FujitaTakumi KamuraTakashi TsuruoTari ParmelyLaurence Florens
- Journals
- Journal of Biological Chemistry (12 papers)Nature Communications (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Shigeo Sato
71 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 1.9k
- Cancer Research 1.0k
- Molecular Biology 4.4k
- Cell Biology 522
- Immunology 638
Countries citing papers authored by Shigeo Sato
This map shows the geographic impact of Shigeo Sato'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 Shigeo Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeo Sato more than expected).
Fields of papers citing papers by Shigeo Sato
This network shows the impact of papers produced by Shigeo Sato. 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 Shigeo Sato. The network helps show where Shigeo Sato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeo Sato, 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 | 2022 | 18 | |
| 2 | 2018 | 20 | |
| 3 | Brigatinib combined with anti-EGFR antibody overcomes osimertinib resistance in EGFR-mutated non-small-cell lung cancerbreakdown → | 2017 | 329 |
| 4 | 2017 | 98 | |
| 5 | 2015 | 56 | |
| 6 | 2014 | 52 | |
| 7 | 2012 | 18 | |
| 8 | 2011 | 21 | |
| 9 | 2011 | 48 | |
| 10 | 2011 | 23 | |
| 11 | 2007 | 53 | |
| 12 | 2005 | 98 | |
| 13 | 2004 | 23 | |
| 14 | 2003 | 185 | |
| 15 | 2003 | 16 | |
| 16 | 2003 | 233 | |
| 17 | The Elongin BC complex interacts with the conserved SOCS-box motif present in members of the SOCS, ras, WD-40 repeat, and ankyrin repeat familiesbreakdown → | 1998 | 507 |
| 18 | 1997 | 1 | |
| 19 | 1997 | 58 | |
| 20 | 1989 | 4 |
About Shigeo Sato
Shigeo Sato is a scholar working on Oncology, Molecular Biology and Immunology and Allergy, having authored 71 papers that have together received 6.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers), Cancer therapeutics and mechanisms (7 papers), Ubiquitin and proteasome pathways (6 papers), Immunotherapy and Immune Responses (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (1.0k citations) and Molecular Biology (4.4k citations). Shigeo Sato has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Ronald Conaway, Joan Conaway, Chieri Tomomori‐Sato, Naoya Fujita, Takumi Kamura, Takashi Tsuruo, Tari Parmely, Laurence Florens, Michael P. Washburn and Takao Yamori. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Proceedings of the National Academy of Sciences, Cancer Science and Cell.
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.