Alison Etheridge

3.8k total citations · 1 hit paper
55 papers, 1.8k citations indexed

About

Alison Etheridge is a scholar working on Mathematical Physics, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alison Etheridge has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mathematical Physics, 28 papers in Genetics and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alison Etheridge's work include Stochastic processes and statistical mechanics (27 papers), Evolution and Genetic Dynamics (25 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (15 papers). Alison Etheridge is often cited by papers focused on Stochastic processes and statistical mechanics (27 papers), Evolution and Genetic Dynamics (25 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (15 papers). Alison Etheridge collaborates with scholars based in United Kingdom, Austria and France. Alison Etheridge's co-authors include Nick Barton, Jerome Kelleher, Amandine Véber, Gil McVean, Frantz Depaulis, Robert Griffiths, Jochen Blath, Klaus Fleischmann, Anja Sturm and Stuart J. E. Baird and has published in prestigious journals such as Bioinformatics, Genetics and Evolution.

In The Last Decade

Alison Etheridge

53 papers receiving 1.7k citations

Hit Papers

Efficient Coalescent Simulation and Genealogical Analysis... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Etheridge United Kingdom 21 1.1k 521 350 198 164 55 1.8k
Martin Möhle Germany 20 461 0.4× 656 1.3× 178 0.5× 154 0.8× 152 0.9× 70 1.1k
Serik Sagitov Sweden 15 406 0.4× 510 1.0× 187 0.5× 118 0.6× 140 0.9× 63 915
Peter Jagers Sweden 22 463 0.4× 1.2k 2.2× 334 1.0× 491 2.5× 283 1.7× 95 2.3k
Claudia Neuhauser United States 23 891 0.8× 284 0.5× 399 1.1× 358 1.8× 108 0.7× 71 2.4k
Amaury Lambert France 27 1.4k 1.3× 409 0.8× 1.1k 3.2× 237 1.2× 85 0.5× 102 4.6k
Patsy Haccou Netherlands 23 697 0.6× 190 0.4× 370 1.1× 215 1.1× 25 0.2× 64 2.1k
Sylvie Méléard France 15 391 0.3× 278 0.5× 74 0.2× 319 1.6× 43 0.3× 35 912
J. Theodore Cox United States 22 168 0.1× 828 1.6× 97 0.3× 115 0.6× 371 2.3× 62 1.3k
Nicolas Champagnat France 15 551 0.5× 232 0.4× 119 0.3× 402 2.0× 21 0.1× 43 937
Edward Pollak United States 18 1.0k 0.9× 155 0.3× 262 0.7× 161 0.8× 21 0.1× 60 1.5k

Countries citing papers authored by Alison Etheridge

Since Specialization
Citations

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

Fields of papers citing papers by Alison Etheridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Etheridge

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Etheridge. A scholar is included among the top collaborators of Alison Etheridge 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 Alison Etheridge. Alison Etheridge 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.
Barton, Nick, Alison Etheridge, & Amandine Véber. (2023). The infinitesimal model with dominance. Genetics. 225(2). 3 indexed citations
2.
Etheridge, Alison, et al.. (2022). Genealogies in bistable waves. Electronic Journal of Probability. 27(none). 3 indexed citations
3.
Etheridge, Alison, et al.. (2020). The spatial Muller’s ratchet: Surfing of deleterious mutations during range expansion. Theoretical Population Biology. 135. 19–31. 4 indexed citations
4.
Barton, Nick, Alison Etheridge, & Amandine Véber. (2017). The infinitesimal model: Definition, derivation, and implications. Theoretical Population Biology. 118. 50–73. 203 indexed citations
5.
Kelleher, Jerome, Alison Etheridge, & Gil McVean. (2016). Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes. PLoS Computational Biology. 12(5). e1004842–e1004842. 362 indexed citations breakdown →
6.
Kelleher, Jerome, Alison Etheridge, Amandine Véber, & Nick Barton. (2015). Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. 108. 1–12. 13 indexed citations
7.
Kelleher, Jerome, Alison Etheridge, & Nick Barton. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 95. 13–23. 18 indexed citations
8.
Barton, Nick, Alison Etheridge, Jerome Kelleher, & Amandine Véber. (2013). Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. 87. 105–119. 20 indexed citations
9.
Barton, Nick, Alison Etheridge, Jerome Kelleher, & Amandine Véber. (2013). Genetic hitchhiking in spatially extended populations. Theoretical Population Biology. 87. 75–89. 30 indexed citations
10.
Etheridge, Alison. (2011). Some Mathematical Models from Population Genetics. Lecture notes in mathematics. 83 indexed citations
11.
Etheridge, Alison, Robert Griffiths, & Jesse E. Taylor. (2010). A coalescent dual process in a Moran model with genic selection, and the lambda coalescent limit. Theoretical Population Biology. 78(2). 77–92. 27 indexed citations
12.
Yu, Feng & Alison Etheridge. (2010). The fixation probability of two competing beneficial mutations. Theoretical Population Biology. 78(1). 36–45. 10 indexed citations
13.
Etheridge, Alison & Robert Griffiths. (2009). A coalescent dual process in a Moran model with genic selection. Theoretical Population Biology. 75(4). 320–330. 42 indexed citations
14.
Barton, Nick & Alison Etheridge. (2004). The Effect of Selection on Genealogies. Genetics. 166(2). 1115–1131. 62 indexed citations
15.
Etheridge, Alison & Klaus Fleischmann. (2004). Compact interface property for symbiotic branching. Stochastic Processes and their Applications. 114(1). 127–160. 9 indexed citations
16.
Dawson, Donald A., Alison Etheridge, Klaus Fleischmann, et al.. (2002). Mutually catalytic branching in the plane: Finite measure states. The Annals of Probability. 30(4). 12 indexed citations
17.
Etheridge, Alison. (1993). Asymptotic behaviour of measure-valued critical branching processes. Proceedings of the American Mathematical Society. 118(4). 1251–1261. 9 indexed citations
18.
Etheridge, Alison. (1993). Asymptotic Behaviour of Measure-Valued Critical Branching Processes. Proceedings of the American Mathematical Society. 118(4). 1251–1251. 4 indexed citations
19.
Etheridge, Alison. (1993). Limiting behaviour of two-level measure-branching. Advances in Applied Probability. 25(4). 773–782. 4 indexed citations
20.
Caballero, Armando, Alison Etheridge, & William G. Hill. (1992). The time of detection of recessive visible genes with non-random mating. Genetics Research. 60(3). 201–207. 6 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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