David Peede

891 total citations
10 papers, 234 citations indexed

About

David Peede is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David Peede has authored 10 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David Peede's work include Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (5 papers) and Chromosomal and Genetic Variations (3 papers). David Peede is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (5 papers) and Chromosomal and Genetic Variations (3 papers). David Peede collaborates with scholars based in United States, United Kingdom and Mexico. David Peede's co-authors include Daniel R. Matute, Emmanuel R. R. D’Agostino, Aaron A. Comeault, Jeremy Wang, Daniel R. Schrider, Ellie E. Armstrong, Bernard Kim, Anton Suvorov, Dmitri A. Petrov and Jean David and has published in prestigious journals such as Science, Current Biology and Genetics.

In The Last Decade

David Peede

10 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Peede United States	7	151	82	73	56	43	10	234
Emmanuel R. R. D’Agostino United States	4	105 0.7×	70 0.9×	53 0.7×	47 0.8×	36 0.8×	5	185
Ian Butler United States	5	171 1.1×	86 1.0×	90 1.2×	73 1.3×	35 0.8×	7	272
Anurag Priyam United Kingdom	5	98 0.6×	92 1.1×	64 0.9×	36 0.6×	30 0.7×	5	204
Jeanne Wilbrandt Germany	7	108 0.7×	50 0.6×	151 2.1×	21 0.4×	51 1.2×	9	232
Valerie Schawaroch United States	7	108 0.7×	56 0.7×	146 2.0×	27 0.5×	57 1.3×	10	272
Martina Žurovcová Czechia	10	118 0.8×	117 1.4×	89 1.2×	113 2.0×	97 2.3×	29	314
Michael W Guernsey United States	7	133 0.9×	94 1.1×	49 0.7×	35 0.6×	11 0.3×	7	283
Daniel Dowling Germany	5	88 0.6×	105 1.3×	116 1.6×	44 0.8×	99 2.3×	5	252
Venkat Talla Sweden	8	155 1.0×	96 1.2×	98 1.3×	52 0.9×	65 1.5×	16	267
Cera R. Fisher United States	6	52 0.3×	91 1.1×	44 0.6×	73 1.3×	46 1.1×	8	213

Countries citing papers authored by David Peede

Since Specialization

Citations

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

Fields of papers citing papers by David Peede

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Peede

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

All Works

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10 of 10 papers shown

Villanea, Fernando A., David Peede, Kelsey E. Witt, et al.. (2025). The MUC19 gene: An evolutionary history of recurrent introgression and natural selection. Science. 389(6762). eadl0882–eadl0882. 1 indexed citations

Peede, David, et al.. (2024). Leveraging shared ancestral variation to detect local introgression. PLoS Genetics. 20(1). e1010155–e1010155. 5 indexed citations

Witt, Kelsey E., Seung‐been Lee, Ripan S. Malhi, et al.. (2023). Pharmacogenetic Variation in Neanderthals and Denisovans and Implications for Human Health and Response to Medications. Genome Biology and Evolution. 15(12). 2 indexed citations

Coughlan, Jenn M., et al.. (2022). Patterns of Population Structure and Introgression Among Recently Differentiated Drosophila melanogaster Populations. Molecular Biology and Evolution. 39(11). 9 indexed citations

Dagilis, Andrius J., et al.. (2022). A need for standardized reporting of introgression: Insights from studies across eukaryotes. Evolution Letters. 6(5). 344–357. 25 indexed citations

Peede, David, et al.. (2021). Pure species discriminate against hybrids in the Drosophila melanogaster species subgroup. Evolution. 75(7). 1753–1774. 7 indexed citations

D’Agostino, Emmanuel R. R., et al.. (2021). P ‐elements strengthen reproductive isolation within the Drosophila simulans species complex. Evolution. 75(10). 2425–2440. 8 indexed citations

Suvorov, Anton, Bernard Kim, Jeremy Wang, et al.. (2021). Widespread introgression across a phylogeny of 155 Drosophila genomes. Current Biology. 32(1). 111–123.e5. 138 indexed citations

Wang, Jeremy, et al.. (2020). Paternally Inherited P-Element Copy Number Affects the Magnitude of Hybrid Dysgenesis in Drosophila simulans and D. melanogaster. Genome Biology and Evolution. 12(6). 808–826. 8 indexed citations

10.

Matute, Daniel R., Aaron A. Comeault, Eric J. Earley, et al.. (2019). Rapid and Predictable Evolution of Admixed Populations Between TwoDrosophilaSpecies Pairs. Genetics. 214(1). 211–230. 31 indexed citations

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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