Takeya Sato
Impact in
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Receptor Mechanisms and Signaling 6
- Mitochondrial Function and Pathology 6
- RNA Interference and Gene Delivery 4
- Wnt/β-catenin signaling in development and cancer 3
- Genetics 11
- Virus-based gene therapy research 8
- Co-authors
- Jeffrey A. Medin (9 shared papers)Haruki Senoo (11 shared papers)Teruyuki Yanagisawa (14 shared papers)Anton Neschadim (4 shared papers)Arnon Lavie (3 shared papers)Katsuyuki Imai (8 shared papers)Naosuke Kojima (10 shared papers)Daniel H. Fowler (2 shared papers)
- Journals
- Molecular Therapy (3 papers)Journal of Pharmacological Sciences (2 papers)Cell Structure and Function (2 papers)Pharmacology (1 paper)Journal of Clinical Biochemistry and Nutrition (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Takeya Sato
48 papers receiving 692 citations
Peers
Comparison fields: 5 of 86
- Hepatology 80
- Immunology 99
- Molecular Biology 308
- Oncology 113
- Genetics 115
Countries citing papers authored by Takeya Sato
This map shows the geographic impact of Takeya 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 Takeya Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeya Sato more than expected).
Fields of papers citing papers by Takeya Sato
This network shows the impact of papers produced by Takeya 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 Takeya Sato. The network helps show where Takeya Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Takeya 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
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 78 | |
| 2 | 2004 | 73 | |
| 3 | 2005 | 72 | |
| 4 | 2001 | 43 | |
| 5 | 2000 | 34 | |
| 6 | 2000 | 28 | |
| 7 | 2002 | 27 | |
| 8 | 2013 | 26 | |
| 9 | 2000 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 1993 | 21 | |
| 12 | 2012 | 19 | |
| 13 | 1990 | 18 | |
| 14 | 2008 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 1991 | 14 | |
| 18 | 1996 | 13 | |
| 19 | 1999 | 11 | |
| 20 | 1992 | 11 |
About Takeya Sato
Takeya Sato is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Hepatology, having authored 51 papers that have together received 707 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Liver physiology and pathology (7 papers), Receptor Mechanisms and Signaling (6 papers), Mitochondrial Function and Pathology (6 papers), RNA Interference and Gene Delivery (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Diabetes Treatment and Management (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Hepatology (80 citations), Immunology (99 citations), Molecular Biology (308 citations), Oncology (113 citations) and Genetics (115 citations). Takeya Sato has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Jeffrey A. Medin, Haruki Senoo, Teruyuki Yanagisawa, Anton Neschadim, Arnon Lavie, Katsuyuki Imai, Naosuke Kojima, Daniel H. Fowler, Alastair J. S. Summerlee and Jonathan Ng. Their work appears in journals such as Molecular Therapy, Journal of Pharmacological Sciences, Cell Structure and Function, Pharmacology and Journal of Clinical Biochemistry and Nutrition.
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.