Trey K. Sato
- Molecular Biology top 2%
- Endocrine and Autonomic Systems top 0.2%
- Cell Biology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Co-authors
- Scott D. EmrJohn B. HogeneschSteve A. KaySatchidananda PandaAna Maria de Lauro CastrucciMark D. RollagIgnacio ProvencioLoren Miraglia
- Topics
- Biofuel production and bioconversion (30 papers)Microbial Metabolic Engineering and Bioproduction (23 papers)Fungal and yeast genetics research (8 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Trey K. Sato
51 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.7k
- Endocrine and Autonomic Systems 2.2k
- Cell Biology 1.4k
- Cellular and Molecular Neuroscience 996
- Physiology 874
Countries citing papers authored by Trey K. Sato
This map shows the geographic impact of Trey K. 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 Trey K. Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trey K. Sato more than expected).
Fields of papers citing papers by Trey K. Sato
This network shows the impact of papers produced by Trey K. 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 Trey K. Sato. The network helps show where Trey K. Sato may publish in the future.
Co-authorship network of co-authors of Trey K. Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Trey K. Sato. A scholar is included among the top collaborators of Trey K. Sato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trey K. Sato. Trey K. Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 28 | |
| 8 | 15 | |
| 9 | 34 | |
| 10 | 59 | |
| 11 | 17 | |
| 12 | 52 | |
| 13 | 11 | |
| 14 | 67 | |
| 15 | 35 | |
| 16 | 72 | |
| 17 | Melanopsin Is Required for Non-Image-Forming Photic Responses in Blind Micebreakdown → | 557 |
| 18 | Melanopsin ( Opn4 ) Requirement for Normal Light-Induced Circadian Phase Shiftingbreakdown → | 661 |
| 19 | 135 | |
| 20 | 161 |
About Trey K. Sato
Trey K. Sato is a scholar working on Aging, Endocrine and Autonomic Systems and Cell Biology, having authored 54 papers that have together received 5.5k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (30 papers), Microbial Metabolic Engineering and Bioproduction (23 papers) and Fungal and yeast genetics research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.2k citations), Aging (355 citations) and Cell Biology (1.4k citations). Trey K. Sato has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Scott D. Emr, John B. Hogenesch, Steve A. Kay, Satchidananda Panda, Ana Maria de Lauro Castrucci, Mark D. Rollag, Ignacio Provencio, Loren Miraglia, Andrew E. Wurmser and Michael Overduin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.