Ayako Sato
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
-
- Mesenchymal stem cell research
Papers in
- Hepatology 14
- Liver physiology and pathology 6
- Hepatitis C virus research 5
- Surgery 11
- Co-authors
- Hirofumi Kido (4 shared papers)Jun Ohno (5 shared papers)Tadao Fukushima (2 shared papers)Yuichiro Yamaguchi (2 shared papers)Mamoru Watanabe (14 shared papers)Sayuri Nitta (13 shared papers)Masato Miyoshi (13 shared papers)Seishin Azuma (13 shared papers)
- Journals
- Hepatology Research (4 papers)Cancer Research (2 papers)BMJ Open (2 papers)Journal of Hepatology (2 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Ayako Sato
63 papers receiving 736 citations
Peers
Comparison fields: 5 of 96
- Hepatology 191
- Genetics 67
- Oncology 113
- Epidemiology 138
- Cancer Research 52
Countries citing papers authored by Ayako Sato
This map shows the geographic impact of Ayako 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 Ayako Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Sato more than expected).
Fields of papers citing papers by Ayako Sato
This network shows the impact of papers produced by Ayako 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 Ayako Sato. The network helps show where Ayako Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayako 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 153 | |
| 2 | 2017 | 141 | |
| 3 | 2009 | 57 | |
| 4 | 2021 | 37 | |
| 5 | 2011 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2019 | 15 | |
| 11 | Neoadjuvant weekly paclitaxel with and without trastuzumab in locally advanced or metastatic breast cancer. | 2009 | 14 |
| 12 | 2019 | 13 | |
| 13 | 2019 | 13 | |
| 14 | Transcriptional regulatory regions of the survivin gene activate an exogenous suicide gene in human tumors and enhance the sensitivity to a prodrug. | 2007 | 12 |
| 15 | 2020 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2011 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2010 | 9 | |
| 20 | 2020 | 9 |
About Ayako Sato
Ayako Sato is a scholar working on Hepatology, Surgery, Oncology, Molecular Biology and Epidemiology, having authored 73 papers that have together received 753 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis B Virus Studies (3 papers), Cancer and Skin Lesions (3 papers), Magnetic properties of thin films (3 papers), Mesenchymal stem cell research (3 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (191 citations), Genetics (67 citations), Oncology (113 citations), Epidemiology (138 citations) and Cancer Research (52 citations). Ayako Sato has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Hirofumi Kido, Jun Ohno, Tadao Fukushima, Yuichiro Yamaguchi, Mamoru Watanabe, Sayuri Nitta, Masato Miyoshi, Seishin Azuma, Mina Nakagawa and Miyako Murakawa. Their work appears in journals such as Hepatology Research, Cancer Research, BMJ Open, Journal of Hepatology and Scientific Reports.
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.