Thomas Flatt

103 papers receiving 6.4k citations

Peers

Thomas Flatt
Comparison fields: 5 of 154
  • Aging 1.2k
  • Insect Science 1.5k
  • Ecology, Evolution, Behavior and Systematics 1.8k
  • Genetics 2.4k
  • Ecological Modeling 299
Replace Lawrence G. Harshman with:
Lawrence G. Harshman United States
Daniel Promislow United States
Bas J. Zwaan Netherlands
Martin E. Feder United States
Kimberly A. Hughes United States
Trudy F. C. Mackay United States
Trudy F. C. Mackay United States
James R. Carey United States
Adam K. Chippindale Canada
PAUL S. SCHMIDT United States
Thomas Flatt relative to Lawrence G. Harshman United States Lawrence G. Harshman's profile →
Citations per field
00.5×2×3.2×
Lawrence G. Harshman · 1×
Citations per year

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-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.

Border = papers with Thomas Flatt Line = papers co-authored together Thomas Flatt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005404
2 2005351
3 2007282
4 2013261
5 2010256
6 2008244
7 2020231
8 2008225
9 2012198
10 2012183
11 2018179
12 2012156
13 2013134
14 2000132
15 2016130
16 2007116
17 2006113
18 202097
19 201397
20 200696

About Thomas Flatt

Thomas Flatt is a scholar working on Aging, Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (39 papers), Animal Behavior and Reproduction (27 papers), Neurobiology and Insect Physiology Research (23 papers), Physiological and biochemical adaptations (19 papers), Genetic diversity and population structure (18 papers), Evolution and Genetic Dynamics (18 papers), Insect and Arachnid Ecology and Behavior (14 papers) and Insect Utilization and Effects (10 papers). The work is most often cited by research in Aging (1.2k citations), Insect Science (1.5k citations), Ecology, Evolution, Behavior and Systematics (1.8k citations), Genetics (2.4k citations) and Ecological Modeling (299 citations). Thomas Flatt has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Marc Tatar, Martin Kapun, Meng‐Ping Tu, Christian Schlötterer, PAUL S. SCHMIDT, Daniel K. Fabian, Hugo Aguilaniu, Linda Partridge, Malene Hansen and Tadeusz J. Kawecki. Their work appears in journals such as Molecular Ecology, Evolution Letters, Journal of Evolutionary Biology, Molecular Biology and 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.

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