David Wragg

1.6k total citations
35 papers, 730 citations indexed

About

David Wragg is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, David Wragg has authored 35 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 16 papers in Ecology, Evolution, Behavior and Systematics and 13 papers in Insect Science. Recurrent topics in David Wragg's work include Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (13 papers) and Plant and animal studies (13 papers). David Wragg is often cited by papers focused on Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (13 papers) and Plant and animal studies (13 papers). David Wragg collaborates with scholars based in United Kingdom, Kenya and France. David Wragg's co-authors include Olivier Hanotte, Joram M. Mwacharo, Hussain Bahbahani, Alain Vignal, Melanie Parejo, Mark Woolhouse, Mary Mbole-Kariuki, Curtis P. Van Tassell, Tad S. Sonstegard and José Antonio Alcalde and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

David Wragg

34 papers receiving 722 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 Wragg United Kingdom 15 517 230 225 165 117 35 730
Roberto Rasero Italy 16 225 0.4× 163 0.7× 66 0.3× 83 0.5× 197 1.7× 53 732
A. Maiwashe South Africa 22 774 1.5× 112 0.5× 95 0.4× 361 2.2× 45 0.4× 55 1.1k
A. Jungerius Netherlands 5 357 0.7× 68 0.3× 79 0.4× 416 2.5× 181 1.5× 8 805
E.K. Piper Australia 14 117 0.2× 242 1.1× 161 0.7× 74 0.4× 79 0.7× 24 601
Fanming Meng China 15 221 0.4× 118 0.5× 230 1.0× 27 0.2× 198 1.7× 61 586
M. S. Tantia India 21 773 1.5× 53 0.2× 66 0.3× 194 1.2× 209 1.8× 116 1.0k
Gustavo Gasparin Brazil 14 315 0.6× 64 0.3× 51 0.2× 202 1.2× 150 1.3× 33 647
Indrajit Ganguly India 15 359 0.7× 84 0.4× 20 0.1× 133 0.8× 117 1.0× 62 648
Georgi Radoslavov Bulgaria 12 254 0.5× 118 0.5× 142 0.6× 40 0.2× 55 0.5× 56 463
J. L. Vega‐Pla Spain 17 849 1.6× 38 0.2× 56 0.2× 184 1.1× 187 1.6× 72 1.1k

Countries citing papers authored by David Wragg

Since Specialization
Citations

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

Fields of papers citing papers by David Wragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wragg

This figure shows the co-authorship network connecting the top 25 collaborators of David Wragg. A scholar is included among the top collaborators of David Wragg 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 Wragg. David Wragg 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.
Wragg, David, Wengang Zhang, Sarah Peterson, et al.. (2024). A cautionary tale of low-pass sequencing and imputation with respect to haplotype accuracy. Genetics Selection Evolution. 56(1). 6–6. 5 indexed citations
2.
Leroy, Thibault, et al.. (2024). Inferring Long-Term and Short-Term Determinants of Genetic Diversity in Honey Bees: Beekeeping Impact and Conservation Strategies. Molecular Biology and Evolution. 41(12). 4 indexed citations
3.
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Parejo, Melanie, et al.. (2023). AmelHap: Leveraging drone whole-genome sequence data to create a honey bee HapMap. Scientific Data. 10(1). 198–198. 3 indexed citations
6.
7.
Talenti, Andrea, Jessica Powell, David Wragg, et al.. (2022). VCF files from: Optical mapping compendium of structural variants across global cattle breeds. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Wragg, David, Sonia E Eynard, Olivier Bouchez, et al.. (2022). Complex population structure and haplotype patterns in the Western European honey bee from sequencing a large panel of haploid drones. Molecular Ecology Resources. 22(8). 3068–3086. 12 indexed citations
9.
Talenti, Andrea, Jessica Powell, David Wragg, et al.. (2022). Optical mapping compendium of structural variants across global cattle breeds. Scientific Data. 9(1). 618–618. 8 indexed citations
10.
Cook, Elizabeth A. J., David Wragg, Elizabeth J. Poole, et al.. (2021). Inherited Tolerance in Cattle to the Apicomplexan Protozoan Theileria parva is Associated with Decreased Proliferation of Parasite-Infected Lymphocytes. Frontiers in Cellular and Infection Microbiology. 11. 751671–751671. 6 indexed citations
11.
Lawal, Raman Akinyanju, Simon H. Martin, Addie Vereijken, et al.. (2020). The wild species genome ancestry of domestic chickens. BMC Biology. 18(1). 13–13. 60 indexed citations
12.
Wragg, David, Valentina Riggio, Carys Pugh, et al.. (2020). Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation. Nature Communications. 11(1). 343–343. 4 indexed citations
13.
Bahbahani, Hussain, et al.. (2019). Genome Diversity and Signatures of Selection for Production and Performance Traits in Dromedary Camels. Frontiers in Genetics. 10. 893–893. 35 indexed citations
14.
Khayatzadeh, Negar, Aberra Melesse, David Wragg, et al.. (2019). Genome-wide scans identify known and novel regions associated with prolificacy and reproduction traits in a sub-Saharan African indigenous sheep (Ovis aries). Mammalian Genome. 30(11-12). 339–352. 29 indexed citations
15.
Henriques, Dora, Melanie Parejo, Alain Vignal, et al.. (2018). Developing reduced SNP assays from whole‐genome sequence data to estimate introgression in an organism with complex genetic patterns, the Iberian honeybee (Apis mellifera iberiensis). Evolutionary Applications. 11(8). 1270–1282. 30 indexed citations
16.
Regan, Tim, Mark Barnett, Dominik R. Laetsch, et al.. (2018). Characterisation of the British honey bee metagenome. Nature Communications. 9(1). 4995–4995. 53 indexed citations
17.
Bahbahani, Hussain, et al.. (2018). Genomic signatures of adaptive introgression and environmental adaptation in the Sheko cattle of southwest Ethiopia. PLoS ONE. 13(8). e0202479–e0202479. 25 indexed citations
18.
Bahbahani, Hussain, Abdulfatai Tijjani, David Wragg, et al.. (2017). Signatures of Selection for Environmental Adaptation and Zebu × Taurine Hybrid Fitness in East African Shorthorn Zebu. Frontiers in Genetics. 8. 68–68. 61 indexed citations
19.
Wragg, David, Benjamin Basso, Jean Pierre Bidanel, et al.. (2016). Whole-genome resequencing of honeybee drones to detect genomic selection in a population managed for royal jelly. Scientific Reports. 6(1). 27168–27168. 40 indexed citations
20.
Bahbahani, Hussain, Harry Clifford, David Wragg, et al.. (2015). Signatures of positive selection in East African Shorthorn Zebu: A genome-wide single nucleotide polymorphism analysis. Scientific Reports. 5(1). 11729–11729. 77 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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