Petr Danecek
Impact in
- Genetics top 0.05%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Horticulture top 1%
Papers in
- Genetics 12
- Genomics and Rare Diseases 6
- Genomic variations and chromosomal abnormalities 6
- Genetic Associations and Epidemiology 3
- Genetic and phenotypic traits in livestock 2
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Richard DurbinGonçalo R. AbecasisShane McCarthyGerton LunterMark A. DePristoCornelis A. AlbersGábor MarthStephen T. Sherry
- Journals
- Bioinformatics (4 papers)The American Journal of Human Genetics (3 papers)Nature Genetics (2 papers)Nature Communications (2 papers)GigaScience (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Petr Danecek
20 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Genetics 8.5k
- Horticulture 120
- Plant Science 4.4k
- Molecular Biology 8.1k
- Cancer Research 1.5k
Countries citing papers authored by Petr Danecek
This map shows the geographic impact of Petr Danecek'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 Petr Danecek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Danecek more than expected).
Fields of papers citing papers by Petr Danecek
This network shows the impact of papers produced by Petr Danecek. 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 Petr Danecek. The network helps show where Petr Danecek may publish in the future.
Co-authors
The 25 scholars most cited alongside Petr Danecek, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 47 | |
| 5 | 2022 | 49 | |
| 6 | HTSlib: C library for reading/writing high-throughput sequencing data Hit paper breakdown → | 2021 | 220 |
| 7 | Twelve years of SAMtools and BCFtools Hit paper breakdown → | 2021 | 6307 |
| 8 | 2021 | 11 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 60 | |
| 12 | 2017 | 255 | |
| 13 | 2017 | 64 | |
| 14 | 2016 | 18 | |
| 15 | Reference-based phasing using the Haplotype Reference Consortium panel Hit paper breakdown → | 2016 | 829 |
| 16 | 2015 | 110 | |
| 17 | 2012 | 131 | |
| 18 | The variant call format and VCFtools Hit paper breakdown → | 2011 | 9936 |
| 19 | 2010 | 16 | |
| 20 | 2009 | 23 |
About Petr Danecek
Petr Danecek is a scholar working on Genetics, Cancer Research, Archeology, Information Systems and Management and Paleontology, having authored 21 papers that have together received 18.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Phylogenetic Studies (5 papers), Cancer Genomics and Diagnostics (4 papers), CRISPR and Genetic Engineering (3 papers), Genetic Associations and Epidemiology (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Genetics (8.5k citations), Horticulture (120 citations), Plant Science (4.4k citations), Molecular Biology (8.1k citations) and Cancer Research (1.5k citations). Petr Danecek has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Richard Durbin, Gonçalo R. Abecasis, Shane McCarthy, Gerton Lunter, Mark A. DePristo, Cornelis A. Albers, Gábor Marth, Stephen T. Sherry, Robert E. Handsaker and Gil McVean. Their work appears in journals such as Bioinformatics, The American Journal of Human Genetics, Nature Genetics, Nature Communications and GigaScience.
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.