Ian Dworkin

5.2k total citations · 1 hit paper
84 papers, 3.5k citations indexed

About

Ian Dworkin is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Geometry and Topology. According to data from OpenAlex, Ian Dworkin has authored 84 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 43 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Geometry and Topology. Recurrent topics in Ian Dworkin's work include Animal Behavior and Reproduction (33 papers), Genetic diversity and population structure (20 papers) and Morphological variations and asymmetry (17 papers). Ian Dworkin is often cited by papers focused on Animal Behavior and Reproduction (33 papers), Genetic diversity and population structure (20 papers) and Morphological variations and asymmetry (17 papers). Ian Dworkin collaborates with scholars based in United States, Canada and United Kingdom. Ian Dworkin's co-authors include Greg Gibson, Douglas J. Emlen, Laura Corley Lavine, Ian A. Warren, Sudarshan Chari, Christopher H. Chandler, David W. Pfennig, Susan A. Foster, Cris C. Ledón-Rettig and Sonia E. Sultan 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

Ian Dworkin

81 papers receiving 3.4k citations

Hit Papers

The role of developmental plasticity in evolutionary inno... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Dworkin United States 29 1.7k 1.3k 816 655 488 84 3.5k
Ehab Abouheif Canada 28 1.5k 0.9× 1.6k 1.2× 827 1.0× 634 1.0× 295 0.6× 49 3.3k
Ricardo B. R. Azevedo United States 24 1.1k 0.7× 905 0.7× 776 1.0× 785 1.2× 243 0.5× 49 2.6k
Patrícia Beldade Netherlands 25 1.3k 0.8× 1.3k 1.0× 422 0.5× 396 0.6× 664 1.4× 56 2.4k
Richard F. Lyman United States 36 2.4k 1.4× 1.1k 0.8× 999 1.2× 617 0.9× 856 1.8× 51 4.0k
John True United States 23 1.8k 1.1× 1.3k 0.9× 1.3k 1.6× 266 0.4× 838 1.7× 39 3.5k
Virginie Courtier‐Orgogozo France 21 1.5k 0.9× 704 0.5× 1.4k 1.7× 293 0.4× 419 0.9× 52 2.9k
Antónia Monteiro Singapore 39 2.7k 1.6× 2.7k 2.0× 1.3k 1.6× 461 0.7× 1.4k 2.8× 152 5.0k
Emilie C. Snell‐Rood United States 26 1.3k 0.8× 2.0k 1.5× 306 0.4× 1.0k 1.6× 313 0.6× 79 3.5k
Walter F. Eanes United States 34 1.7k 1.0× 854 0.6× 1.0k 1.3× 820 1.3× 413 0.8× 71 3.1k
Vincent Debat France 25 770 0.5× 775 0.6× 252 0.3× 604 0.9× 182 0.4× 67 2.4k

Countries citing papers authored by Ian Dworkin

Since Specialization
Citations

This map shows the geographic impact of Ian Dworkin'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 Ian Dworkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Dworkin more than expected).

Fields of papers citing papers by Ian Dworkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Dworkin. 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 Ian Dworkin. The network helps show where Ian Dworkin may publish in the future.

Co-authorship network of co-authors of Ian Dworkin

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Dworkin. A scholar is included among the top collaborators of Ian Dworkin 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 Ian Dworkin. Ian Dworkin 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.
Scott, Andrew M., et al.. (2025). The genetic basis of natural variation in sociability. Evolution. 79(10). 1977–1995.
2.
Stewart, Andrew D., et al.. (2024). Sexually discordant selection is associated with trait-specific morphological changes and a complex genomic response. Evolution. 78(8). 1426–1440. 3 indexed citations
3.
Shams, Ieta, et al.. (2023). Genetic correlation between aggressive signals and fighting. Biology Letters. 19(4). 20220616–20220616. 2 indexed citations
5.
Dworkin, Ian, et al.. (2021). Evolution of sociability by artificial selection *. Evolution. 76(3). 541–553. 5 indexed citations
6.
Siddiqui, Ali, et al.. (2021). Spatial heterogeneity in resources alters selective dynamics in Drosophila melanogaster. Evolution. 75(7). 1792–1804. 2 indexed citations
7.
Dworkin, Ian, et al.. (2020). Genetic and environmental canalization are not associated among altitudinally varying populations of Drosophila melanogaster. Evolution. 74(8). 1755–1771. 5 indexed citations
8.
Chandler, Christopher H., et al.. (2020). Sexual Selection Does Not Increase the Rate of Compensatory Adaptation to a Mutation Influencing a Secondary Sexual Trait in Drosophila melanogaster. G3 Genes Genomes Genetics. 10(5). 1541–1551. 2 indexed citations
9.
Pitchers, William, et al.. (2019). A Multivariate Genome-Wide Association Study of Wing Shape in Drosophila melanogaster. Genetics. 211(4). 1429–1447. 36 indexed citations
10.
Emlen, Douglas J., et al.. (2018). Sexual dimorphism and heightened conditional expression in a sexually selected weapon in the Asian rhinoceros beetle. Molecular Ecology. 27(24). 5049–5072. 27 indexed citations
11.
Chandler, Christopher H., Sudarshan Chari, David C. Tack, et al.. (2017). How well do you know your mutation? Complex effects of genetic background on expressivity, complementation, and ordering of allelic effects. PLoS Genetics. 13(11). e1007075–e1007075. 40 indexed citations
12.
Pitchers, William, Jason B. Wolf, Tom Tregenza, John Hunt, & Ian Dworkin. (2014). Evolutionary rates for multivariate traits: the role of selection and genetic variation. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1649). 20130252–20130252. 35 indexed citations
13.
Warren, Ian A., J. Cristobal Vera, James H. Marden, et al.. (2014). Insights into the Development and Evolution of Exaggerated Traits Using De Novo Transcriptomes of Two Species of Horned Scarab Beetles. PLoS ONE. 9(2). e88364–e88364. 13 indexed citations
14.
Emlen, Douglas J., et al.. (2012). A Mechanism of Extreme Growth and Reliable Signaling in Sexually Selected Ornaments and Weapons. Science. 337(6096). 860–864. 347 indexed citations
15.
Stillwell, R. Craig, Ian Dworkin, Alexander W. Shingleton, & W. Anthony Frankino. (2011). Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in <em>Drosophila</em>. Journal of Visualized Experiments. 17 indexed citations
16.
Hall, Megan, Ian Dworkin, Mark C. Ungerer, & Michael D. Purugganan. (2007). Genetics of microenvironmental canalization in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 104(34). 13717–13722. 82 indexed citations
17.
Emlen, Douglas J., et al.. (2006). Insulin signaling and limb-patterning: candidate pathways for the origin and evolutionary diversification of beetle ‘horns’. Heredity. 97(3). 179–191. 102 indexed citations
18.
Gibson, Greg & Ian Dworkin. (2004). Uncovering cryptic genetic variation. Nature Reviews Genetics. 5(9). 681–690. 407 indexed citations
19.
Pálsson, Arnar, et al.. (2004). Nucleotide Variation in the Egfr Locus of Drosophila melanogaster. Genetics. 167(3). 1199–1212. 18 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.

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