David Enard

1.9k total citations
24 papers, 915 citations indexed

About

David Enard is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, David Enard has authored 24 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in David Enard's work include Genomics and Phylogenetic Studies (6 papers), Evolution and Genetic Dynamics (6 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). David Enard is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Evolution and Genetic Dynamics (6 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). David Enard collaborates with scholars based in United States, France and Spain. David Enard's co-authors include Dmitri A. Petrov, Philipp W. Messer, Nicolas Galtier, Khalid Belkhir, Hugues Roest Crollius, Frantz Depaulis, M. Elise Lauterbur, Lawrence H. Uricchio, Guillaume Laval and Lluís Quintana‐Murci and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

David Enard

23 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Enard United States 14 469 345 124 119 103 24 915
Hafid Laayouni Spain 22 594 1.3× 477 1.4× 210 1.7× 76 0.6× 86 0.8× 47 1.3k
Yun-Xin Fu United States 17 582 1.2× 385 1.1× 48 0.4× 105 0.9× 127 1.2× 35 1.0k
Richard Cooper United Kingdom 6 1.2k 2.5× 476 1.4× 150 1.2× 57 0.5× 147 1.4× 18 1.7k
Andaine Seguin‐Orlando Denmark 19 491 1.0× 674 2.0× 108 0.9× 132 1.1× 195 1.9× 29 1.5k
Yi-Chieh Wu United States 10 347 0.7× 406 1.2× 53 0.4× 178 1.5× 164 1.6× 20 877
Urmi Trivedi United Kingdom 18 335 0.7× 403 1.2× 56 0.5× 88 0.7× 200 1.9× 28 984
Guillaume Cornelis France 13 274 0.6× 539 1.6× 137 1.1× 53 0.4× 408 4.0× 15 924
Jaime Gongora Australia 19 504 1.1× 296 0.9× 103 0.8× 31 0.3× 109 1.1× 55 1.2k
Sandra Coppens Belgium 13 205 0.4× 610 1.8× 97 0.8× 236 2.0× 98 1.0× 30 1.1k

Countries citing papers authored by David Enard

Since Specialization
Citations

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

Fields of papers citing papers by David Enard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Enard

This figure shows the co-authorship network connecting the top 25 collaborators of David Enard. A scholar is included among the top collaborators of David Enard 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 Enard. David Enard 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.
Casillas, Sònia, et al.. (2024). An efficient and robust ABC approach to infer the rate and strength of adaptation. G3 Genes Genomes Genetics. 14(4). 1 indexed citations
2.
Nieto, Juan C., et al.. (2024). Adaptation in human immune cells residing in tissues at the frontline of infections. Nature Communications. 15(1). 10329–10329. 1 indexed citations
3.
Huang, Serina, et al.. (2024). Positive selection analyses identify a single WWE domain residue that shapes ZAP into a more potent restriction factor against alphaviruses. PLoS Pathogens. 20(8). e1011836–e1011836. 4 indexed citations
4.
Lucaci, Alexander G., et al.. (2023). Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses. Molecular Biology and Evolution. 40(7). 13 indexed citations
5.
Frank, Hannah K., David Enard, & Scott D. Boyd. (2022). Exceptional diversity and selection pressure on coronavirus host receptors in bats compared to other mammals. Proceedings of the Royal Society B Biological Sciences. 289(1979). 20220193–20220193. 13 indexed citations
6.
Labayen, Idoia, Marcela González‐Gross, Luís A. Moreno, et al.. (2022). Association between PTPN1 polymorphisms and obesity-related phenotypes in European adolescents: influence of physical activity. Pediatric Research. 93(7). 2036–2044. 5 indexed citations
7.
Enard, David, et al.. (2022). Novel brown adipose tissue candidate genes predicted by the human gene connectome. Scientific Reports. 12(1). 7614–7614. 1 indexed citations
8.
9.
Souilmi, Yassine, M. Elise Lauterbur, Raymond Tobler, et al.. (2021). An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia. Current Biology. 31(16). 3504–3514.e9. 54 indexed citations
10.
Enard, David & Dmitri A. Petrov. (2020). Ancient RNA virus epidemics through the lens of recent adaptation in human genomes. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1812). 20190575–20190575. 24 indexed citations
11.
Uricchio, Lawrence H., Dmitri A. Petrov, & David Enard. (2019). Exploiting selection at linked sites to infer the rate and strength of adaptation. Nature Ecology & Evolution. 3(6). 977–984. 29 indexed citations
12.
Ebel, Emily R., Natalie Telis, Sandeep Venkataram, Dmitri A. Petrov, & David Enard. (2017). High rate of adaptation of mammalian proteins that interact with Plasmodium and related parasites. PLoS Genetics. 13(9). e1007023–e1007023. 20 indexed citations
13.
Lou, Dianne I., Eui Tae Kim, Nicholas R. Meyerson, et al.. (2016). An Intrinsically Disordered Region of the DNA Repair Protein Nbs1 Is a Species-Specific Barrier to Herpes Simplex Virus 1 in Primates. Cell Host & Microbe. 20(2). 178–188. 32 indexed citations
14.
David, Maude M., et al.. (2016). Comorbid Analysis of Genes Associated with Autism Spectrum Disorders Reveals Differential Evolutionary Constraints. PLoS ONE. 11(7). e0157937–e0157937. 17 indexed citations
15.
Enard, David, Philipp W. Messer, & Dmitri A. Petrov. (2014). Genome-wide signals of positive selection in human evolution. Genome Research. 24(6). 885–895. 122 indexed citations
16.
Fagny, Maud, Étienne Patin, David Enard, et al.. (2014). Exploring the Occurrence of Classic Selective Sweeps in Humans Using Whole-Genome Sequencing Data Sets. Molecular Biology and Evolution. 31(7). 1850–1868. 55 indexed citations
17.
Chaillon, Antoine, Martine Braibant, Stéphane Hué, et al.. (2012). Human Immunodeficiency Virus Type-1 (HIV-1) Continues to Evolve in Presence of Broadly Neutralizing Antibodies More than Ten Years after Infection. PLoS ONE. 7(8). e44163–e44163. 11 indexed citations
18.
Enard, David, Frantz Depaulis, & Hugues Roest Crollius. (2010). Human and Non-Human Primate Genomes Share Hotspots of Positive Selection. PLoS Genetics. 6(2). e1000840–e1000840. 57 indexed citations
19.
Pereira, Vini, David Enard, & Adam Eyre‐Walker. (2009). The Effect of Transposable Element Insertions on Gene Expression Evolution in Rodents. PLoS ONE. 4(2). e4321–e4321. 23 indexed citations
20.
Galtier, Nicolas, et al.. (2005). Mutation hot spots in mammalian mitochondrial DNA. Genome Research. 16(2). 215–222. 111 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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