Gil McVean

132.3k total citations · 10 hit papers
127 papers, 36.4k citations indexed

About

Gil McVean is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Gil McVean has authored 127 papers receiving a total of 36.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 70 papers in Genetics and 17 papers in Immunology. Recurrent topics in Gil McVean's work include Evolution and Genetic Dynamics (29 papers), Genomics and Phylogenetic Studies (27 papers) and Genetic Associations and Epidemiology (25 papers). Gil McVean is often cited by papers focused on Evolution and Genetic Dynamics (29 papers), Genomics and Phylogenetic Studies (27 papers) and Genetic Associations and Epidemiology (25 papers). Gil McVean collaborates with scholars based in United Kingdom, United States and Australia. Gil McVean's co-authors include Peter Donnelly, Adam Auton, Gerton Lunter, Richard Durbin, Cornelis A. Albers, Simon Myers, Gonçalo R. Abecasis, Gábor Marth, Robert E. Handsaker and Eric Banks and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Gil McVean

126 papers receiving 35.9k citations

Hit Papers

The variant call format and VCFtools 2002 2026 2010 2018 2011 2012 2018 2011 2007 2.5k 5.0k 7.5k
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. The variant call format and VCFtools
    2011 9.9k citations Petr Danecek, Adam Auton et al. Bioinformatics profile →
  2. An integrated map of genetic variation from 1,092 human genomes
    2012 5.2k citations Gil McVean, Robert E. Handsaker et al. Nature profile →
  3. The UK Biobank resource with deep phenotyping and genomic data
    2018 4.4k citations Colin Freeman, Allan Motyer et al. Nature profile →
  4. Detecting Novel Associations in Large Data Sets
    2011 2.3k citations Gil McVean, Eric S. Lander et al. Science profile →
  5. A new multipoint method for genome-wide association studies by imputation of genotypes
    2007 1.5k citations Simon Myers, Gil McVean et al. Nature Genetics profile →
  6. A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome
    2005 789 citations Simon Myers, Colin Freeman et al. Science profile →
  7. The Fine-Scale Structure of Recombination Rate Variation in the Human Genome
    2004 707 citations Gil McVean, Simon Myers et al. Science profile →
  8. Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications
    2014 606 citations Iain Mathieson, Zamin Iqbal et al. Nature Genetics profile →
  9. A Coalescent-Based Method for Detecting and Estimating Recombination From Gene Sequences
    2002 543 citations Gil McVean et al. profile →
  10. Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes
    2016 362 citations Jerome Kelleher, Gil McVean et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gil McVean United Kingdom 62 18.6k 15.1k 5.5k 2.4k 2.2k 127 36.4k
Mark A. DePristo United States 18 18.1k 1.0× 19.7k 1.3× 8.0k 1.5× 5.3k 2.2× 3.0k 1.4× 23 43.4k
Eric Banks United States 20 18.3k 1.0× 18.6k 1.2× 7.9k 1.4× 5.3k 2.2× 3.0k 1.3× 28 40.4k
Nils Homer United States 11 11.6k 0.6× 23.6k 1.6× 9.2k 1.7× 4.3k 1.8× 4.4k 1.9× 16 41.5k
Kiran Garimella United States 20 12.3k 0.7× 14.5k 1.0× 5.1k 0.9× 4.4k 1.8× 1.7k 0.7× 52 30.1k
Peter M. Visscher Australia 95 30.7k 1.7× 12.5k 0.8× 4.9k 0.9× 2.7k 1.1× 816 0.4× 453 47.3k
Ewan Birney United Kingdom 63 5.8k 0.3× 22.2k 1.5× 5.4k 1.0× 2.2k 0.9× 2.8k 1.2× 176 31.2k
Alec Wysoker United States 8 11.6k 0.6× 24.3k 1.6× 9.1k 1.7× 4.3k 1.8× 4.3k 1.9× 10 43.0k
Tim Fennell United States 8 14.3k 0.8× 26.6k 1.8× 10.0k 1.8× 5.3k 2.2× 4.7k 2.1× 8 47.2k
Andrey Sivachenko United States 22 10.9k 0.6× 15.1k 1.0× 4.6k 0.8× 4.4k 1.8× 1.4k 0.6× 51 28.8k
Jue Ruan China 21 12.6k 0.7× 27.6k 1.8× 11.0k 2.0× 4.4k 1.9× 5.3k 2.4× 65 46.4k

Countries citing papers authored by Gil McVean

Since Specialization
Citations

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

Fields of papers citing papers by Gil McVean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil McVean

This figure shows the co-authorship network connecting the top 25 collaborators of Gil McVean. A scholar is included among the top collaborators of Gil McVean 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 Gil McVean. Gil McVean 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.
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
2.
Dilthey, Alexander, Alexander J. Mentzer, Raphaël Carapito, et al.. (2019). HLA*LA—HLA typing from linearly projected graph alignments. Bioinformatics. 35(21). 4394–4396. 70 indexed citations
3.
Cortés, Adrián, Patrick K. Albers, Calliope A. Dendrou, Lars Fugger, & Gil McVean. (2019). Identifying cross-disease components of genetic risk across hospital data in the UK Biobank. Nature Genetics. 52(1). 126–134. 23 indexed citations
4.
Bradley, Phelim, Henk C. den Bakker, Eduardo P. C. Rocha, Gil McVean, & Zamin Iqbal. (2019). Ultrafast search of all deposited bacterial and viral genomic data. Nature Biotechnology. 37(2). 152–159. 77 indexed citations
5.
Turner, Isaac, Kiran Garimella, Zamin Iqbal, & Gil McVean. (2018). Integrating long-range connectivity information into de Bruijn graphs. Bioinformatics. 34(15). 2556–2565. 43 indexed citations
6.
Cortés, Adrián, Calliope A. Dendrou, Allan Motyer, et al.. (2017). Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank. Nature Genetics. 49(9). 1311–1318. 41 indexed citations
7.
Zhu, Sha, Jacob Almagro‐Garcia, & Gil McVean. (2017). Deconvolution of multiple infections in Plasmodium falciparum from high throughput sequencing data. Bioinformatics. 34(1). 9–15. 48 indexed citations
8.
Iqbal, Zamin, et al.. (2016). A natural encoding of genetic variation in a Burrows-Wheeler Transform to enable mapping and genome inference. Lecture notes in computer science. 1 indexed citations
9.
Singhal, Sonal, Ellen M. Leffler, Isaac Turner, et al.. (2015). Stable recombination hotspots in birds. Science. 350(6263). 928–932. 226 indexed citations
10.
Venn, Oliver, Isaac Turner, Iain Mathieson, et al.. (2014). Strong male bias drives germline mutation in chimpanzees. Science. 344(6189). 1272–1275. 113 indexed citations
11.
Giannoulatou, Eleni, Gil McVean, Indira B. Taylor, et al.. (2013). Contributions of intrinsic mutation rate and selfish selection to levels of de novo HRAS mutations in the paternal germline. Proceedings of the National Academy of Sciences. 110(50). 20152–20157. 58 indexed citations
12.
McVean, Gil, Robert E. Handsaker, Mark A. DePristo, et al.. (2012). An integrated map of genetic variation from 1,092 human genomes. Nature. 491(7422). 56–65. 5167 indexed citations breakdown →
13.
Danecek, Petr, Adam Auton, Gonçalo R. Abecasis, et al.. (2011). The variant call format and VCFtools. Bioinformatics. 27(15). 2156–2158. 9936 indexed citations breakdown →
14.
Myers, Simon, Rory Bowden, Afidalina Tumian, et al.. (2009). Drive Against Hotspot Motifs in Primates Implicates the PRDM9 Gene in Meiotic Recombination. Science. 327(5967). 876–879. 487 indexed citations
15.
Barry, Aïssata, Thomas A. Smith, Heather Imrie, et al.. (2008). Geographic population structure of the immune evasion (var) genes of Plasmodium falciparum.. International Journal for Parasitology. 38. 1 indexed citations
16.
Winckler, Wendy, Simon Myers, Daniel J. Richter, et al.. (2005). Comparison of Fine-Scale Recombination Rates in Humans and Chimpanzees. Science. 308(5718). 107–111. 280 indexed citations
17.
Wilson, Daniel J., et al.. (2005). The influence of mutation, recombination, population history, and selection on patterns of genetic diversity in Neisseria meningitidis (vol 22, pg 562, 2005). Molecular Biology and Evolution. 22. 1158–1158. 14 indexed citations
18.
Goriely, Anne, et al.. (2003). Evidence for Selective Advantage of Pathogenic FGFR2 Mutations in the Male Germ Line. Science. 301(5633). 643–646. 213 indexed citations
19.
Reich, David, S. F. Schaffner, Mark J. Daly, et al.. (2002). Human genome sequence variation and the influence of gene history, mutation and recombination. Nature Genetics. 32(1). 135–142. 226 indexed citations
20.
Hurst, Gregory D. D. & Gil McVean. (1998). Parasitic male-killing bacteria and the evolution of clutch size. Ecological Entomology. 23(3). 350–353. 12 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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