Thomas Flatt

9.3k total citations · 1 hit paper
86 papers, 5.7k citations indexed

About

Thomas Flatt is a scholar working on Aging, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Thomas Flatt has authored 86 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aging, 32 papers in Genetics and 27 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Thomas Flatt's work include Genetics, Aging, and Longevity in Model Organisms (35 papers), Animal Behavior and Reproduction (22 papers) and Neurobiology and Insect Physiology Research (20 papers). Thomas Flatt is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (35 papers), Animal Behavior and Reproduction (22 papers) and Neurobiology and Insect Physiology Research (20 papers). Thomas Flatt collaborates with scholars based in Switzerland, United States and Austria. Thomas Flatt's co-authors include Marc Tatar, Martin Kapun, Andreas Heyland, Meng‐Ping Tu, Christian Schlötterer, Paul Schmidt, Daniel K. Fabian, Hugo Aguilaniu, Malene Hansen and Linda Partridge and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Flatt

85 papers receiving 5.6k citations

Hit Papers

Evolutionary genomics can... 2020 2026 2022 2024 2020 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Flatt 2.2k 1.7k 1.4k 1.2k 1.1k 86 5.7k
Lawrence G. Harshman 2.2k 1.0× 2.7k 1.6× 2.1k 1.5× 1.7k 1.4× 1.7k 1.5× 95 7.4k
Bas J. Zwaan 2.6k 1.2× 3.0k 1.8× 1.7k 1.2× 1.8k 1.5× 929 0.8× 171 8.0k
Daniel Promislow 2.5k 1.1× 2.2k 1.3× 920 0.7× 1.9k 1.6× 2.2k 2.0× 185 9.0k
Adam K. Chippindale 2.6k 1.2× 2.7k 1.6× 1.0k 0.8× 1.4k 1.1× 836 0.7× 49 4.9k
Kimberly A. Hughes 2.7k 1.2× 2.6k 1.6× 999 0.7× 1.1k 0.9× 651 0.6× 80 5.1k
Trudy F. C. Mackay 4.6k 2.1× 1.4k 0.8× 849 0.6× 822 0.7× 752 0.7× 103 7.6k
Trudy F. C. Mackay 5.6k 2.6× 1.9k 1.1× 1.2k 0.9× 1.2k 0.9× 1.0k 0.9× 170 9.4k
Paul Schmidt 1.9k 0.9× 1.2k 0.7× 705 0.5× 1.6k 1.3× 499 0.4× 79 4.0k
Allen G. Gibbs 2.9k 1.3× 2.3k 1.3× 2.3k 1.7× 2.2k 1.8× 337 0.3× 82 5.6k
Martin E. Feder 1.7k 0.8× 1.7k 1.0× 1.2k 0.9× 4.7k 3.9× 882 0.8× 110 9.2k

Countries citing papers authored by Thomas Flatt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Flatt

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Flatt. A scholar is included among the top collaborators of Thomas Flatt 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 Thomas Flatt. Thomas Flatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paris, Margot, Esra Durmaz Mitchell, Envel Kerdaffrec, et al.. (2025). Multiple forms of balancing selection maintain inversion polymorphism. Heredity. 135(3). 138–151.
2.
Hoedjes, Katja M., Sonja Grath, Nico Posnien, et al.. (2024). From whole bodies to single cells: A guide to transcriptomic approaches for ecology and evolutionary biology. Molecular Ecology. 34(15). e17382–e17382. 6 indexed citations
3.
Hoedjes, Katja M., et al.. (2023). A Single Nucleotide Variant in the PPARγ-homolog Eip75B Affects Fecundity in Drosophila. Molecular Biology and Evolution. 40(2). 5 indexed citations
4.
Kapun, Martin, Esra Durmaz Mitchell, Tadeusz J. Kawecki, Paul Schmidt, & Thomas Flatt. (2023). An Ancestral Balanced Inversion Polymorphism Confers Global Adaptation. Molecular Biology and Evolution. 40(6). 16 indexed citations
5.
Matos, Margarida, et al.. (2023). Microbes are potential key players in the evolution of life histories and aging in Caenorhabditis elegans. Ecology and Evolution. 13(9). e10537–e10537. 1 indexed citations
6.
Berdan, Emma L., Nick Barton, Roger K. Butlin, et al.. (2023). How chromosomal inversions reorient the evolutionary process. Journal of Evolutionary Biology. 36(12). 1761–1782. 42 indexed citations
7.
Flatt, Thomas, et al.. (2023). The remoulding of dietary effects on the fecundity / longevity trade-off in a social insect. BMC Genomics. 24(1). 244–244. 8 indexed citations
8.
Rodrigues, Marisa A, Chantal Dauphin‐Villemant, Margot Paris, et al.. (2023). Germline proliferation trades off with lipid metabolism in Drosophila. Evolution Letters. 8(2). 295–310. 5 indexed citations
9.
Hoedjes, Katja M., et al.. (2022). Natural alleles at the Doa locus underpin evolutionary changes in Drosophila lifespan and fecundity. Proceedings of the Royal Society B Biological Sciences. 289(1986). 20221989–20221989. 2 indexed citations
10.
Rajpurohit, Subhash, Esra Durmaz Mitchell, Daniel K. Fabian, et al.. (2021). Allelic polymorphism at foxo contributes to local adaptation in Drosophila melanogaster. Molecular Ecology. 30(12). 2817–2830. 7 indexed citations
11.
Charlesworth, Brian & Thomas Flatt. (2021). On the fixation or nonfixation of inversions under epistatic selection. Molecular Ecology. 30(16). 3896–3897. 7 indexed citations
12.
Harrison, Mark C., et al.. (2021). Gene Coexpression Network Reveals Highly Conserved, Well-Regulated Anti-Ageing Mechanisms in Old Ant Queens. Genome Biology and Evolution. 13(6). 6 indexed citations
13.
Korb, Judith, Karen Meusemann, Abel Bernadou, et al.. (2021). Comparative transcriptomic analysis of the mechanisms underpinning ageing and fecundity in social insects. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1823). 20190728–20190728. 43 indexed citations
14.
Heuvel, Joost van den, et al.. (2019). Adaptation to developmental diet influences the response to selection on age at reproduction in the fruit fly. Journal of Evolutionary Biology. 32(5). 425–437. 14 indexed citations
15.
Mitchell, Esra Durmaz, Subhash Rajpurohit, Daniel K. Fabian, et al.. (2019). A clinal polymorphism in the insulin signaling transcription factor foxo contributes to life‐history adaptation in Drosophila *. Evolution. 73(9). 1774–1792. 16 indexed citations
16.
Hoedjes, Katja M., Joost van den Heuvel, Martin Kapun, et al.. (2019). Distinct genomic signals of lifespan and life history evolution in response to postponed reproduction and larval diet inDrosophila. Evolution Letters. 3(6). 598–609. 15 indexed citations
17.
Hansen, Malene, Thomas Flatt, & Hugo Aguilaniu. (2014). Reproduction, Fat Metabolism, and Life Span: What Is the Connection?. Cell Metabolism. 19(6). 1066–1066. 8 indexed citations
18.
Flatt, Thomas. (2014). Plasticity of lifespan: a reaction norm perspective. Proceedings of The Nutrition Society. 73(4). 532–542. 14 indexed citations
19.
Min, Kyung Wan, Thomas Flatt, Indrek Külaots, & Marc Tatar. (2006). Counting calories in Drosophila diet restriction. Experimental Gerontology. 42(3). 247–251. 76 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026