Laura Ross

4.2k total citations · 2 hit papers
61 papers, 2.5k citations indexed

About

Laura Ross is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Laura Ross has authored 61 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Insect Science, 26 papers in Genetics and 25 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Laura Ross's work include Insect-Plant Interactions and Control (18 papers), Research on scale insects (16 papers) and Insect symbiosis and bacterial influences (16 papers). Laura Ross is often cited by papers focused on Insect-Plant Interactions and Control (18 papers), Research on scale insects (16 papers) and Insect symbiosis and bacterial influences (16 papers). Laura Ross collaborates with scholars based in United Kingdom, United States and Netherlands. Laura Ross's co-authors include Doris Bachtrog, Heath Blackmon, Judith E. Mank, Jun Kitano, Itay Mayrose, Jana C. Vamosi, Ray Ming, Nicolas Perrin, Mark Kirkpatrick and Nicole Valenzuela and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Laura Ross

56 papers receiving 2.5k citations

Hit Papers

Sex Determination: Why So Many Ways of Doing It? 2013 2026 2017 2021 2014 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Ross United Kingdom 22 1.5k 876 843 688 641 61 2.5k
Beatriz Viçoso Austria 21 1.9k 1.3× 425 0.5× 629 0.7× 750 1.1× 864 1.3× 42 2.3k
Alison E. Wright United Kingdom 23 1.4k 0.9× 142 0.2× 614 0.7× 535 0.8× 584 0.9× 36 1.8k
Chau‐Ti Ting Taiwan 17 1.4k 1.0× 289 0.3× 700 0.8× 703 1.0× 411 0.6× 30 2.0k
Laura K. Sirot United States 23 1.6k 1.1× 956 1.1× 1.8k 2.2× 357 0.5× 110 0.2× 40 2.9k
Colin D. Meiklejohn United States 23 1.6k 1.1× 314 0.4× 559 0.7× 1.2k 1.8× 422 0.7× 26 2.5k
José M. Ranz United States 18 1.4k 1.0× 301 0.3× 450 0.5× 1.2k 1.7× 732 1.1× 42 2.2k
Alessandro Grapputo Italy 22 530 0.4× 396 0.5× 624 0.7× 396 0.6× 183 0.3× 57 1.7k
James R. Walters United States 25 1.3k 0.8× 510 0.6× 613 0.7× 608 0.9× 377 0.6× 44 1.9k
David J Begun United States 39 4.0k 2.7× 1.2k 1.4× 1.8k 2.1× 2.6k 3.7× 1.3k 2.0× 83 6.4k
Rhonda R. Snook United Kingdom 32 2.0k 1.4× 639 0.7× 2.6k 3.0× 276 0.4× 133 0.2× 89 3.5k

Countries citing papers authored by Laura Ross

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ross. A scholar is included among the top collaborators of Laura Ross 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 Laura Ross. Laura Ross 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
2.
Vea, Isabelle M., et al.. (2025). The B Chromosome of Pseudococcus viburni: A Selfish Chromosome that Exploits Whole-Genome Meiotic Drive. Genome Biology and Evolution. 17(1).
3.
Mongue, Andrew J., Hollie Marshall, Arkadiy I. Garber, et al.. (2025). Contrasting Evolutionary Trajectories Under Paternal Genome Elimination in Male and Female Citrus Mealybugs. Molecular Ecology. 34(13). e17826–e17826. 1 indexed citations
4.
Werner, Gijsbert D. A., et al.. (2024). Larger colony sizes favoured the evolution of more worker castes in ants. Nature Ecology & Evolution. 8(10). 1959–1971. 8 indexed citations
5.
Marshall, Hollie, et al.. (2024). Lack of paternal silencing and ecotype-specific expression in head and body lice hybrids. Evolution Letters. 8(3). 455–465.
6.
Marshall, Hollie, Jelle S. van Zweden, Felix Wäckers, et al.. (2023). DNA methylation is associated with codon degeneracy in a species of bumblebee. Heredity. 130(4). 188–195. 10 indexed citations
7.
Yu, Xiudao, Hollie Marshall, Yan Liu, et al.. (2023). Sex-specific transcription and DNA methylation landscapes of the Asian citrus psyllid, a vector of huanglongbing pathogens. Evolution. 77(5). 1203–1215. 10 indexed citations
8.
Urban, John, et al.. (2023). Recent Evolution of a Maternally Acting Sex-Determining Supergene in a Fly with Single-Sex Broods. Molecular Biology and Evolution. 40(7). 9 indexed citations
9.
Mongue, Andrew J., et al.. (2023). Why put all your eggs in one basket? Evolutionary perspectives on the origins of monogenic reproduction. Heredity. 131(2). 87–95. 7 indexed citations
10.
Jaroň, Kamil S., et al.. (2022). Genomic evidence of paternal genome elimination in the globular springtail Allacma fusca. Genetics. 222(3). 4 indexed citations
11.
Jaroň, Kamil S., Matthew Brian Couger, Jan Ševčı́k, et al.. (2022). Gene-rich X chromosomes implicate intragenomic conflict in the evolution of bizarre genetic systems. Proceedings of the National Academy of Sciences. 119(23). e2122580119–e2122580119. 10 indexed citations
12.
Mongue, Andrew J., et al.. (2021). Males That Silence Their Father’s Genes: Genomic Imprinting of a Complete Haploid Genome. Molecular Biology and Evolution. 38(6). 2566–2581. 22 indexed citations
13.
Mongue, Andrew J., Sozos Michaelides, Alejandro Tena, et al.. (2021). Sex, males, and hermaphrodites in the scale insect Icerya purchasi *. Evolution. 75(11). 2972–2983. 14 indexed citations
14.
Marshall, Hollie, et al.. (2021). Sex‐specific expression and DNA methylation in a species with extreme sexual dimorphism and paternal genome elimination. Molecular Ecology. 30(22). 5687–5703. 28 indexed citations
15.
Lewis, Samuel H., Laura Ross, Eleni Pahita, et al.. (2020). Widespread conservation and lineage-specific diversification of genome-wide DNA methylation patterns across arthropods. PLoS Genetics. 16(6). e1008864–e1008864. 59 indexed citations
16.
Bachtrog, Doris, Judith E. Mank, Catherine L. Peichel, et al.. (2014). Sex Determination: Why So Many Ways of Doing It?. PLoS Biology. 12(7). e1001899–e1001899. 836 indexed citations breakdown →
17.
Gardner, Andy & Laura Ross. (2011). The Evolution of Hermaphroditism by an Infectious Male-Derived Cell Lineage: An Inclusive-Fitness Analysis. The American Naturalist. 178(2). 191–201. 10 indexed citations
18.
Ross, Laura, David M. Shuker, & Ido Pen. (2010). THE EVOLUTION AND SUPPRESSION OF MALE SUICIDE UNDER PATERNAL GENOME ELIMINATION. Evolution. 65(2). 554–563. 7 indexed citations
19.
Ross, Laura, et al.. (2010). Sex allocation in a species with paternal genome elimination: the roles of crowding and female age in the mealybug Planococcus citri. University of Groningen research database (University of Groningen / Centre for Information Technology). 22 indexed citations
20.
Ross, Laura & David M. Shuker. (2009). Scale insects. Current Biology. 19(5). R184–R186. 11 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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