Gil McVean
- Genetics top 0.01%
- Evolution and Genetic Dynamics 29
- Genetic Associations and Epidemiology 25
- Genetic Mapping and Diversity in Plants and Animals 22
- Genetic diversity and population structure 16
- Genomics and Rare Diseases 9
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies 27
- RNA and protein synthesis mechanisms 20
- Cancer Research top 0.5%
- Plant Science top 0.2%
- Horticulture top 1%
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- T-cell and B-cell Immunology 11
- Co-authors
- Peter DonnellyAdam AutonGerton LunterRichard DurbinCornelis A. AlbersSimon MyersRobert E. HandsakerGábor Marth
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Gil McVean
126 papers receiving 35.9k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- Genetics 18.6k
- Molecular Biology 15.1k
- Cancer Research 2.4k
- Plant Science 5.5k
- Horticulture 103
Countries citing papers authored by Gil McVean
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
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
The 25 scholars most cited alongside Gil McVean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2020 | 27 | |
| 3 | 2019 | 70 | |
| 4 | 2019 | 77 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 43 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 41 | |
| 9 | 2017 | 77 | |
| 10 | A natural encoding of genetic variation in a Burrows-Wheeler Transform to enable mapping and genome inference | 2016 | 1 |
| 11 | 2015 | 226 | |
| 12 | 2014 | 113 | |
| 13 | 2013 | 58 | |
| 14 | 2009 | 487 | |
| 15 | Geographic population structure of the immune evasion (var) genes of Plasmodium falciparum. | 2008 | 1 |
| 16 | 2005 | 280 | |
| 17 | The influence of mutation, recombination, population history, and selection on patterns of genetic diversity in Neisseria meningitidis (vol 22, pg 562, 2005) | 2005 | 14 |
| 18 | 2003 | 213 | |
| 19 | 2002 | 226 | |
| 20 | Parasitic male-killing bacteria and the evolution of clutch size | 1998 | 12 |
About Gil McVean
Gil McVean is a scholar working on Genetics, Endocrinology and Molecular Biology, having authored 127 papers that have together received 36.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (29 papers), Genomics and Phylogenetic Studies (27 papers), Genetic Associations and Epidemiology (25 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers), RNA and protein synthesis mechanisms (20 papers), Genetic diversity and population structure (16 papers), T-cell and B-cell Immunology (11 papers) and Genomics and Rare Diseases (9 papers). The work is most often cited by research in Genetics (18.6k citations), Molecular Biology (15.1k citations) and Cancer Research (2.4k citations). Gil McVean has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter Donnelly, Adam Auton, Gerton Lunter, Richard Durbin, Cornelis A. Albers, Simon Myers, Robert E. Handsaker, Gábor Marth, Gonçalo R. Abecasis and Mark A. DePristo. Their work appears in journals such as Nature Genetics, PLoS Genetics, Science, Genetics and Bioinformatics.
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.