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, Malene Hansen, Hugo Aguilaniu 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 improve prediction of species’ ... 2020 2026 2022 2024 2020 50 100 150

Peers

Thomas Flatt
Comparison fields: 5 of 155
  • Genetics 2.2k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Insect Science 1.4k
  • Ecology 1.2k
  • Aging 1.1k
Replace Lawrence G. Harshman with:
Lawrence G. Harshman United States
Bas J. Zwaan Netherlands
Daniel Promislow United States
Adam K. Chippindale Canada
Kimberly A. Hughes United States
Trudy F. C. Mackay United States
Trudy F. C. Mackay United States
Paul Schmidt United States
Allen G. Gibbs United States
Martin E. Feder United States
Lawrence G. Harshman United States View profile →
Citations per field, relative to Thomas Flatt
Thomas Flatt · 1×
Citations per year, relative to Thomas Flatt
Thomas Flatt · 1×

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
# Work Indexed citations
1 0
2 6
3 5
4 16
5 8
6 5
7 1
8 2
9 19
10 7
11 6
12 43
13 7
14 15
15 14
16 16
17 114
18 7
19 146
20 76

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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