Tom R. Booker

1.1k total citations · 2 hit papers
19 papers, 528 citations indexed

About

Tom R. Booker is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tom R. Booker has authored 19 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 6 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tom R. Booker's work include Evolution and Genetic Dynamics (10 papers), Genetic diversity and population structure (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Tom R. Booker is often cited by papers focused on Evolution and Genetic Dynamics (10 papers), Genetic diversity and population structure (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Tom R. Booker collaborates with scholars based in Canada, United Kingdom and United States. Tom R. Booker's co-authors include Peter D. Keightley, Michael C. Whitlock, Sam Yeaman, Ben Jackson, Moisés Expósito‐Alonso, Lauren Gillespie, Rob W. Ness, Brian Charlesworth, Lucas Czech and Patricia L. M. Lang and has published in prestigious journals such as Science, Current Biology and Genetics.

In The Last Decade

Tom R. Booker

19 papers receiving 525 citations

Hit Papers

align trajectories

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.

Genetic diversity loss in the Anthropocene

2022 128 citations Moisés Expósito‐Alonso, Tom R. Booker et al. Science profile →
How useful is genomic data for predicting maladaptation to future climate?

2024 33 citations Brandon M. Lind, Pooja Singh et al. Global Change Biology profile →

Peers

Tom R. Booker

GENET

ECOLO

EEBS

Remi Matthey‐Doret Canada

Yoann Anciaux France

Joshua V. Peñalba Australia

Helena Martins Brazil

Huizhong Fan China

Jo S. Hermansen Norway

Clemens L. Weiß Germany

Nicola Aitken Australia

Kevin Bullaughey United States

Natacha Faivre France

Remi Matthey‐Doret Canada

Tom R. Booker

285 ×0.8

GENET

101 ×0.7

94 ×0.9

ECOLO

74 ×0.8

117 ×1.4

EEBS

Citations per year, relative to Tom R. Booker Tom R. Booker (= 1×) peers Remi Matthey‐Doret

Countries citing papers authored by Tom R. Booker

Since Specialization

Citations

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

Fields of papers citing papers by Tom R. Booker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom R. Booker. 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 Tom R. Booker. The network helps show where Tom R. Booker may publish in the future.

Co-authorship network of co-authors of Tom R. Booker

This figure shows the co-authorship network connecting the top 25 collaborators of Tom R. Booker. A scholar is included among the top collaborators of Tom R. Booker 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 Tom R. Booker. Tom R. Booker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Bohutínská, Magdalena, Tom R. Booker, Cristina Goena Vives, et al.. (2024). Polyploids broadly generate novel haplotypes from trans-specific variation in Arabidopsis arenosa and Arabidopsis lyrata. PLoS Genetics. 20(12). e1011521–e1011521. 4 indexed citations

Lind, Brandon M., Pooja Singh, Mengmeng Lu, et al.. (2024). How useful is genomic data for predicting maladaptation to future climate?. Global Change Biology. 30(4). e17227–e17227. 33 indexed citations breakdown →

Booker, Tom R.. (2024). The structure of the environment influences the patterns and genetics of local adaptation. Evolution Letters. 8(6). 787–798. 3 indexed citations

Booker, Tom R., Sam Yeaman, James R. Whiting, & Michael C. Whitlock. (2023). The WZA : A window‐based method for characterizing genotype–environment associations. Molecular Ecology Resources. 24(2). e13768–e13768. 21 indexed citations

Booker, Tom R., Sam Yeaman, & Michael C. Whitlock. (2022). Using genome scans to identify genes used repeatedly for adaptation. Evolution. 77(3). 801–811. 10 indexed citations

Grummer, Jared A., Tom R. Booker, Remi Matthey‐Doret, et al.. (2022). The immediate costs and long‐term benefits of assisted gene flow in large populations. Conservation Biology. 36(4). e13911–e13911. 30 indexed citations

Expósito‐Alonso, Moisés, Tom R. Booker, Lucas Czech, et al.. (2022). Genetic diversity loss in the Anthropocene. Science. 377(6613). 1431–1435. 128 indexed citations breakdown →

Booker, Tom R., Bret A. Payseur, & Anna Tigano. (2022). Background selection under evolving recombination rates. Proceedings of the Royal Society B Biological Sciences. 289(1977). 20220782–20220782. 4 indexed citations

Lind, Brandon M., Mengmeng Lu, Dragana Obreht Vidaković, et al.. (2021). Haploid, diploid, and pooled exome capture recapitulate features of biology and paralogy in two non‐model tree species. Molecular Ecology Resources. 22(1). 225–238. 5 indexed citations

10.

Booker, Tom R., Sam Yeaman, & Michael C. Whitlock. (2020). Variation in recombination rate affects detection of outliers in genome scans under neutrality. Molecular Ecology. 29(22). 4274–4279. 61 indexed citations

11.

Booker, Tom R.. (2020). Inferring Parameters of the Distribution of Fitness Effects of New Mutations When Beneficial Mutations Are Strongly Advantageous and Rare. G3 Genes Genomes Genetics. 10(7). 2317–2326. 12 indexed citations

12.

Byers, Kaylee A., Tom R. Booker, Matthew Combs, et al.. (2020). Using genetic relatedness to understand heterogeneous distributions of urban rat‐associated pathogens. Evolutionary Applications. 14(1). 198–209. 14 indexed citations

13.

Booker, Tom R., Sam Yeaman, & Michael C. Whitlock. (2020). Global adaptation complicates the interpretation of genome scans for local adaptation. Evolution Letters. 5(1). 4–15. 27 indexed citations

14.

Booker, Tom R. & Peter D. Keightley. (2018). Understanding the factors that shape patterns of nucleotide diversity in the house mouse genome. Molecular Biology and Evolution. 35(12). 2971–2988. 28 indexed citations

15.

Booker, Tom R., Rob W. Ness, & Peter D. Keightley. (2017). The Recombination Landscape in Wild House Mice Inferred Using Population Genomic Data. Genetics. 207(1). 297–309. 22 indexed citations

16.

Booker, Tom R., Ben Jackson, & Peter D. Keightley. (2017). Detecting positive selection in the genome. BMC Biology. 15(1). 83 indexed citations

17.

Keightley, Peter D., José Luis Campos, Tom R. Booker, & Brian Charlesworth. (2016). Inferring the Frequency Spectrum of Derived Variants to Quantify Adaptive Molecular Evolution in Protein-Coding Genes of Drosophila melanogaster. Genetics. 203(2). 975–984. 36 indexed citations

18.

Booker, Tom R., Rob W. Ness, & Deborah Charlesworth. (2015). Molecular Evolution: Breakthroughs and Mysteries in Batesian Mimicry. Current Biology. 25(12). R506–R508. 4 indexed citations

19.

Wei, Ronghua, et al.. (2005). Metal plasma immersion ion implantation and deposition (MPIII and D) using a metal plasma electron evaporation source (MPEES). Surface and Coatings Technology. 200(1-4). 579–583. 3 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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