Mari Sato
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
-
- MicroRNA in disease regulation
Papers in
-
- Bone Metabolism and Diseases 5
- Wnt/β-catenin signaling in development and cancer 4
- Circular RNAs in diseases 3
- Oncology 15
- Co-authors
- Masato Tamura (12 shared papers)Reiko Kuwano (4 shared papers)Masayuki Nashimoto (4 shared papers)Yoshio Katayama (8 shared papers)Noboru Asada (7 shared papers)Kentaro Minagawa (7 shared papers)Toshimitsu Matsui (7 shared papers)Hiroki Kawano (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Blood (4 papers)Journal of Hepato-Biliary-Pancreatic Sciences (2 papers)Genes to Cells (2 papers)SOILS AND FOUNDATIONS (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Mari Sato
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Hematology 182
- Cancer Research 157
- Immunology 211
- Orthopedics and Sports Medicine 72
- Oncology 224
Countries citing papers authored by Mari Sato
This map shows the geographic impact of Mari 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 Mari Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Sato more than expected).
Fields of papers citing papers by Mari Sato
This network shows the impact of papers produced by Mari 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 Mari Sato. The network helps show where Mari Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Mari 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2013 | 98 | |
| 3 | 2015 | 80 | |
| 4 | 2009 | 64 | |
| 5 | 2016 | 59 | |
| 6 | 2010 | 49 | |
| 7 | 2011 | 48 | |
| 8 | 2020 | 47 | |
| 9 | 1999 | 42 | |
| 10 | 2016 | 42 | |
| 11 | 2009 | 40 | |
| 12 | 2014 | 40 | |
| 13 | 2018 | 36 | |
| 14 | 1998 | 35 | |
| 15 | 2010 | 30 | |
| 16 | 2013 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2021 | 23 | |
| 19 | 1998 | 22 | |
| 20 | 2012 | 21 |
About Mari Sato
Mari Sato is a scholar working on Molecular Biology, Oncology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dam Engineering and Safety (5 papers), Bone Metabolism and Diseases (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), MicroRNA in disease regulation (4 papers), Mesenchymal stem cell research (3 papers), Genetic factors in colorectal cancer (3 papers), Circular RNAs in diseases (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (182 citations), Cancer Research (157 citations), Immunology (211 citations), Orthopedics and Sports Medicine (72 citations) and Oncology (224 citations). Mari Sato has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masato Tamura, Reiko Kuwano, Masayuki Nashimoto, Yoshio Katayama, Noboru Asada, Kentaro Minagawa, Toshimitsu Matsui, Hiroki Kawano, Yuko Kawano and Akiko Sada. Their work appears in journals such as Biochemical and Biophysical Research Communications, Blood, Journal of Hepato-Biliary-Pancreatic Sciences, Genes to Cells and SOILS AND FOUNDATIONS.
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.