Jun J. Sato
Impact in
- Paleontology top 2%
- Evolution and Paleontology Studies
- Ecology top 5%
- Animal Ecology and Behavior Studies
- Wildlife Ecology and Conservation
Papers in
- Co-authors
- Hitoshi Suzuki (14 shared papers)Mieczysław Wolsan (5 shared papers)Tetsuji Hosoda (10 shared papers)Kohei Uosaki (3 shared papers)Katsuyoshi Ikeda (3 shared papers)Kimiyuki Tsuchiya (2 shared papers)Kevin L. Campbell (2 shared papers)Masahiko Yamamoto (1 shared paper)
In The Last Decade
Jun J. Sato
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Paleontology 381
- Ecology 576
- Genetics 429
- Ecological Modeling 55
- Ecology, Evolution, Behavior and Systematics 179
Countries citing papers authored by Jun J. Sato
This map shows the geographic impact of Jun J. 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 Jun J. Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun J. Sato more than expected).
Fields of papers citing papers by Jun J. Sato
This network shows the impact of papers produced by Jun J. 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 Jun J. Sato. The network helps show where Jun J. Sato may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun J. 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 143 | |
| 2 | 2003 | 110 | |
| 3 | 2003 | 85 | |
| 4 | 2014 | 77 | |
| 5 | 2004 | 75 | |
| 6 | 2008 | 69 | |
| 7 | 2009 | 66 | |
| 8 | 2006 | 63 | |
| 9 | 2009 | 59 | |
| 10 | 2016 | 31 | |
| 11 | 2007 | 30 | |
| 12 | 2016 | 29 | |
| 13 | 2011 | 27 | |
| 14 | 2010 | 27 | |
| 15 | 2009 | 26 | |
| 16 | 2005 | 26 | |
| 17 | 2011 | 25 | |
| 18 | 2009 | 25 | |
| 19 | 2011 | 19 | |
| 20 | 2004 | 18 |
About Jun J. Sato
Jun J. Sato is a scholar working on Ecology, Genetics, Paleontology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (12 papers), Genetic diversity and population structure (12 papers), Animal Ecology and Behavior Studies (11 papers), Genomics and Phylogenetic Studies (6 papers), Bat Biology and Ecology Studies (6 papers), Wildlife Ecology and Conservation (5 papers), Species Distribution and Climate Change (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Paleontology (381 citations), Ecology (576 citations), Genetics (429 citations), Ecological Modeling (55 citations) and Ecology, Evolution, Behavior and Systematics (179 citations). Jun J. Sato has collaborated with scholars based in Japan, Poland and Russia. Frequent co-authors include Hitoshi Suzuki, Mieczysław Wolsan, Tetsuji Hosoda, Kohei Uosaki, Katsuyoshi Ikeda, Kimiyuki Tsuchiya, Kevin L. Campbell, Masahiko Yamamoto, Keith S. Begg and Guillermo D’Elía. Their work appears in journals such as Genes & Genetic Systems, Molecular Phylogenetics and Evolution, Canadian Journal of Zoology, Zoological Letters and Journal of Heredity.
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.