Thomas Flatt
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 0.5%
Papers in
- Co-authors
- Marc Tatar (7 shared papers)Andreas Heyland (6 shared papers)Martin Kapun (16 shared papers)Meng‐Ping Tu (2 shared papers)Christian Schlötterer (9 shared papers)Paul Schmidt (10 shared papers)Daniel K. Fabian (7 shared papers)Hugo Aguilaniu (2 shared papers)
- Journals
- Molecular Ecology (7 papers)Journal of Evolutionary Biology (6 papers)Evolution Letters (5 papers)Evolution (4 papers)Frontiers in Genetics (4 papers)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Thomas Flatt
89 papers receiving 6.0k citations
Thomas Flatt's Hit Papers
Peers
Comparison fields: 5 of 156
- Aging 1.2k
- Insect Science 1.4k
- Ecology, Evolution, Behavior and Systematics 1.8k
- Genetics 2.2k
- Cellular and Molecular Neuroscience 1.1k
Countries citing papers authored by Thomas Flatt
This map shows the geographic impact of Thomas Flatt'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 Flatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Flatt more than expected).
Fields of papers citing papers by Thomas Flatt
This network shows the impact of papers produced by Thomas Flatt. 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 Flatt. The network helps show where Thomas Flatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Flatt, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 397 | |
| 2 | 2005 | 353 | |
| 3 | 2007 | 278 | |
| 4 | 2013 | 256 | |
| 5 | 2010 | 252 | |
| 6 | 2008 | 246 | |
| 7 | 2008 | 224 | |
| 8 | Evolutionary genomics can improve prediction of species’ responses to climate change Hit paper breakdown → | 2020 | 213 |
| 9 | Mechanisms of Life History Evolution: The Genetics and Physiology of Life History Traits and Trade-Offs | 2011 | 209 |
| 10 | 2012 | 187 | |
| 11 | 2012 | 179 | |
| 12 | 2018 | 175 | |
| 13 | 2012 | 150 | |
| 14 | 2000 | 135 | |
| 15 | 2013 | 132 | |
| 16 | 2016 | 119 | |
| 17 | 2006 | 112 | |
| 18 | 2007 | 112 | |
| 19 | 2020 | 95 | |
| 20 | 2013 | 95 |
About Thomas Flatt
Thomas Flatt is a scholar working on Aging, Genetics, Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Ecology, having authored 90 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (35 papers), Animal Behavior and Reproduction (23 papers), Neurobiology and Insect Physiology Research (20 papers), Physiological and biochemical adaptations (16 papers), Genetic diversity and population structure (14 papers), Evolution and Genetic Dynamics (14 papers), Insect and Arachnid Ecology and Behavior (11 papers) and Insect Utilization and Effects (7 papers). The work is most often cited by research in Aging (1.2k citations), Insect Science (1.4k citations), Ecology, Evolution, Behavior and Systematics (1.8k citations), Genetics (2.2k citations) and Cellular and Molecular Neuroscience (1.1k citations). Thomas Flatt has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Marc Tatar, Andreas Heyland, Martin Kapun, Meng‐Ping Tu, Christian Schlötterer, Paul Schmidt, Daniel K. Fabian, Hugo Aguilaniu, Malene Hansen and Linda Partridge. Their work appears in journals such as Molecular Ecology, Journal of Evolutionary Biology, Evolution Letters, Evolution and Frontiers in Genetics.
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.