Dan Sato
Impact in
- Parasitology top 2%
- Parasitic Infections and Diagnostics
- Infectious Diseases top 5%
- Amoebic Infections and Treatments
Papers in
-
- Amoebic Infections and Treatments 17
- Parasitology 15
- Parasitic Infections and Diagnostics 15
- Co-authors
- Tomoyoshi Nozaki (22 shared papers)Ghulam Jeelani (9 shared papers)Tomoyoshi Soga (10 shared papers)Afzal Husain (8 shared papers)Kumiko Nakada‐Tsukui (5 shared papers)Shigeharu Harada (10 shared papers)Makoto Suematsu (5 shared papers)Yumiko Saito‐Nakano (2 shared papers)
- Journals
- Scientific Reports (2 papers)ACS Applied Materials & Interfaces (2 papers)Journal of Biological Chemistry (2 papers)Protein Science (2 papers)Molecular and Biochemical Parasitology (2 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Dan Sato
37 papers receiving 992 citations
Peers
Comparison fields: 5 of 101
- Parasitology 262
- Infectious Diseases 408
- Biochemistry 107
- Biotechnology 105
- Molecular Biology 361
Countries citing papers authored by Dan Sato
This map shows the geographic impact of Dan 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 Dan Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sato more than expected).
Fields of papers citing papers by Dan Sato
This network shows the impact of papers produced by Dan 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 Dan Sato. The network helps show where Dan Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 77 | |
| 2 | 2015 | 69 | |
| 3 | 2007 | 61 | |
| 4 | 2011 | 60 | |
| 5 | 2007 | 55 | |
| 6 | 2012 | 55 | |
| 7 | 2012 | 48 | |
| 8 | 2011 | 45 | |
| 9 | 2010 | 44 | |
| 10 | 2010 | 39 | |
| 11 | 2004 | 39 | |
| 12 | 2009 | 36 | |
| 13 | 2008 | 35 | |
| 14 | 2013 | 32 | |
| 15 | 2014 | 32 | |
| 16 | 2006 | 30 | |
| 17 | 2022 | 27 | |
| 18 | 2012 | 25 | |
| 19 | 2017 | 23 | |
| 20 | 2011 | 23 |
About Dan Sato
Dan Sato is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Biotechnology and Biochemistry, having authored 37 papers that have together received 999 indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (17 papers), Parasitic Infections and Diagnostics (15 papers), Cancer Research and Treatments (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Folate and B Vitamins Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Neural Networks and Reservoir Computing (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Parasitology (262 citations), Infectious Diseases (408 citations), Biochemistry (107 citations), Biotechnology (105 citations) and Molecular Biology (361 citations). Dan Sato has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Tomoyoshi Nozaki, Ghulam Jeelani, Tomoyoshi Soga, Afzal Husain, Kumiko Nakada‐Tsukui, Shigeharu Harada, Makoto Suematsu, Yumiko Saito‐Nakano, Fumika Mi‐ichi and Atsushi Furukawa. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces, Journal of Biological Chemistry, Protein Science and Molecular and Biochemical Parasitology.
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.