Thomas Préat
Impact in
- Cellular and Molecular Neuroscience top 0.2%
- Neurobiology and Insect Physiology Research
- Aging top 0.5%
Papers in
-
- Neurobiology and Insect Physiology Research 64
- Aging 4
- Co-authors
- Alberto PascualPierre-Yves PlaçaisTim TullyMaria Del VecchioGuillaume IsabelP. TchénioSéverine TrannoyHiromu Tanimoto
- Journals
- Journal of Neuroscience (8 papers)Cell Reports (5 papers)Nature (5 papers)Science (5 papers)Nature Communications (4 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Thomas Préat
94 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cellular and Molecular Neuroscience 4.0k
- Aging 312
- Endocrine and Autonomic Systems 573
- Insect Science 869
- Genetics 1.7k
Countries citing papers authored by Thomas Préat
This map shows the geographic impact of Thomas Préat'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 Thomas Préat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Préat more than expected).
Fields of papers citing papers by Thomas Préat
This network shows the impact of papers produced by Thomas Préat. 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 Thomas Préat. The network helps show where Thomas Préat may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Préat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 12 | |
| 5 | 2019 | 28 | |
| 6 | 2016 | 16 | |
| 7 | 2015 | 10 | |
| 8 | 2014 | 164 | |
| 9 | 2013 | 135 | |
| 10 | 2012 | 23 | |
| 11 | 2010 | 13 | |
| 12 | 2009 | 44 | |
| 13 | 2006 | 67 | |
| 14 | 2004 | 219 | |
| 15 | 2004 | 170 | |
| 16 | 2001 | 284 | |
| 17 | 2001 | 29 | |
| 18 | 2000 | 97 | |
| 19 | Genetic dissection of consolidated memory in Drosophila Hit paper breakdown → | 1994 | 739 |
| 20 | 1993 | 110 |
About Thomas Préat
Thomas Préat is a scholar working on Cellular and Molecular Neuroscience, Aging, Immunology, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 96 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (64 papers), Invertebrate Immune Response Mechanisms (17 papers), Insect and Arachnid Ecology and Behavior (15 papers), Animal Behavior and Reproduction (14 papers), Physiological and biochemical adaptations (11 papers), Developmental Biology and Gene Regulation (11 papers), Cholinesterase and Neurodegenerative Diseases (10 papers) and Insect Utilization and Effects (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.0k citations), Aging (312 citations), Endocrine and Autonomic Systems (573 citations), Insect Science (869 citations) and Genetics (1.7k citations). Thomas Préat has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Alberto Pascual, Pierre-Yves Plaçais, Tim Tully, Maria Del Vecchio, Guillaume Isabel, P. Tchénio, Séverine Trannoy, Hiromu Tanimoto, Yoshinori Aso and Jean‐Maurice Dura. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Nature, Science and Nature Communications.
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.