Jerome Kelleher

4.4k total citations · 1 hit paper
31 papers, 1.2k citations indexed

About

Jerome Kelleher is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jerome Kelleher has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 17 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Jerome Kelleher's work include Genomics and Phylogenetic Studies (15 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic diversity and population structure (11 papers). Jerome Kelleher is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic diversity and population structure (11 papers). Jerome Kelleher collaborates with scholars based in United Kingdom, United States and Austria. Jerome Kelleher's co-authors include Alison Etheridge, Gil McVean, Peter L. Ralph, Kevin Thornton, Nick Barton, Yan Wong, Anthony Wilder Wohns, Jaime Ashander, Chaimaa Fadil and Patrick K. Albers and has published in prestigious journals such as Science, Nature Genetics and Bioinformatics.

In The Last Decade

Jerome Kelleher

26 papers receiving 1.2k citations

Hit Papers

Efficient Coalescent Simulation and Genealogical Analysis... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes
    2016 362 citations Jerome Kelleher, Alison Etheridge et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerome Kelleher United Kingdom 16 947 386 89 85 80 31 1.2k
Michael DeGiorgio United States 20 865 0.9× 470 1.2× 141 1.6× 124 1.5× 38 0.5× 57 1.2k
Jonathan Terhorst United States 11 749 0.8× 325 0.8× 125 1.4× 117 1.4× 84 1.1× 26 1.1k
Jack Kamm United States 10 630 0.7× 269 0.7× 116 1.3× 113 1.3× 27 0.3× 15 951
Flora Jay France 13 730 0.8× 223 0.6× 166 1.9× 70 0.8× 50 0.6× 23 1.1k
Ilan Gronau Israel 15 1.1k 1.1× 727 1.9× 283 3.2× 147 1.7× 102 1.3× 26 1.6k
Céline Becquet United States 7 384 0.4× 294 0.8× 94 1.1× 89 1.0× 53 0.7× 12 739
Andrea Benazzo Italy 19 562 0.6× 227 0.6× 205 2.3× 137 1.6× 49 0.6× 35 965
Christoph Leuenberger Switzerland 12 542 0.6× 193 0.5× 197 2.2× 67 0.8× 156 1.9× 22 1.0k
Simon Aeschbacher Switzerland 9 433 0.5× 136 0.4× 58 0.7× 59 0.7× 30 0.4× 12 545
Jon Yamato United States 5 914 1.0× 397 1.0× 344 3.9× 111 1.3× 74 0.9× 9 1.2k

Countries citing papers authored by Jerome Kelleher

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Kelleher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome Kelleher

This figure shows the co-authorship network connecting the top 25 collaborators of Jerome Kelleher. A scholar is included among the top collaborators of Jerome Kelleher 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 Jerome Kelleher. Jerome Kelleher 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.
Lee, Hanbin, et al.. (2025). On ARGs, pedigrees, and genetic relatedness matrices. Genetics. 232(1).
2.
Bisschop, Gertjan, Jerome Kelleher, & Peter L. Ralph. (2025). Likelihoods for a general class of ARGs under the SMC. Genetics. 232(1).
3.
Bisschop, Gertjan, et al.. (2024). tstrait : a quantitative trait simulator for ancestral recombination graphs. Bioinformatics. 40(6). 3 indexed citations
4.
Wong, Yan, et al.. (2024). A general and efficient representation of ancestral recombination graphs. Genetics. 228(1). 24 indexed citations
5.
Anderson-Trocmé, Luke, Dominic Nelson, Shadi Zabad, et al.. (2023). On the genes, genealogies, and geographies of Quebec. Science. 380(6647). 849–855. 17 indexed citations
6.
Tsambos, Georgia, Jerome Kelleher, Peter L. Ralph, Stephen Leslie, & Damjan Vukcevic. (2023). link-ancestors: fast simulation of local ancestry with tree sequence software. Bioinformatics Advances. 3(1). vbad163–vbad163. 5 indexed citations
7.
Gower, Graham, Aaron P. Ragsdale, Gertjan Bisschop, et al.. (2022). Demes: a standard format for demographic models. Genetics. 222(3). 22 indexed citations
8.
Wohns, Anthony Wilder, Yan Wong, Ben Jeffery, et al.. (2022). A unified genealogy of modern and ancient genomes. Science. 375(6583). eabi8264–eabi8264. 70 indexed citations
9.
Koskela, Jere, et al.. (2022). Bayesian inference of ancestral recombination graphs. PLoS Computational Biology. 18(3). e1009960–e1009960. 15 indexed citations
10.
Ralph, Peter L., Kevin Thornton, & Jerome Kelleher. (2020). Efficiently Summarizing Relationships in Large Samples: A General Duality Between Statistics of Genealogies and Genomes. Genetics. 215(3). 779–797. 49 indexed citations
11.
Nelson, Dominic, Jerome Kelleher, Aaron P. Ragsdale, et al.. (2020). Accounting for long-range correlations in genome-wide simulations of large cohorts. PLoS Genetics. 16(5). e1008619–e1008619. 27 indexed citations
12.
Ragsdale, Aaron P., Dominic Nelson, Simon Gravel, & Jerome Kelleher. (2020). Lessons Learned from Bugs in Models of Human History. The American Journal of Human Genetics. 107(4). 583–588. 6 indexed citations
13.
Haller, Benjamin C., Jared Galloway, Jerome Kelleher, Philipp W. Messer, & Peter L. Ralph. (2018). Tree‐sequence recording in SLiM opens new horizons for forward‐time simulation of whole genomes. Molecular Ecology Resources. 19(2). 552–566. 115 indexed citations
14.
Kelleher, Jerome, Kevin Thornton, Jaime Ashander, & Peter L. Ralph. (2018). Efficient pedigree recording for fast population genetics simulation. PLoS Computational Biology. 14(11). e1006581–e1006581. 111 indexed citations
15.
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 →
16.
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
17.
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
18.
Barton, Nick, Alison Etheridge, Jerome Kelleher, & Amandine Véber. (2013). Genetic hitchhiking in spatially extended populations. Theoretical Population Biology. 87. 75–89. 30 indexed citations
19.
Lohse, Konrad & Jerome Kelleher. (2009). Measuring the degree of starshape in genealogies – summary statistics and demographic inference. Genetics Research. 91(4). 281–292. 5 indexed citations
20.
Bistarelli, Stefano, Jerome Kelleher, & Barry O’Sullivan. (2003). Symmetry Breaking in Soft CSPs. 1 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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