Robert M. Davies
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
- Co-authors
- James BonfieldThomas KeaneJohn MarshallHeng LiPetr DanecekValeriu OhanAndrew WhitwhamMartin Pollard
- Journals
- Nature Genetics (2 papers)Bioinformatics (2 papers)GigaScience (2 papers)Scientific Reports (1 paper)Molecular Ecology Resources (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Robert M. Davies
10 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Genetics 2.0k
- Molecular Biology 3.8k
- Plant Science 1.5k
- Cancer Research 569
- Endocrinology 172
Countries citing papers authored by Robert M. Davies
This map shows the geographic impact of Robert M. Davies'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 Robert M. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Davies more than expected).
Fields of papers citing papers by Robert M. Davies
This network shows the impact of papers produced by Robert M. Davies. 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 Robert M. Davies. The network helps show where Robert M. Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert M. Davies, 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 | 2021 | 23 | |
| 3 | HTSlib: C library for reading/writing high-throughput sequencing data Hit paper breakdown → | 2021 | 220 |
| 4 | 2021 | 15 | |
| 5 | Twelve years of SAMtools and BCFtools Hit paper breakdown → | 2021 | 6307 |
| 6 | 2021 | 6 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 103 | |
| 9 | 2005 | 84 | |
| 10 | 2005 | 50 | |
| 11 | 2004 | 103 |
About Robert M. Davies
Robert M. Davies is a scholar working on Modeling and Simulation, Religious studies, Genetics, Information Systems and Management and Cancer Research, having authored 11 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Rare Diseases (2 papers), CRISPR and Genetic Engineering (2 papers), Animal Genetics and Reproduction (2 papers), Genetic diversity and population structure (1 paper), Long-Term Effects of COVID-19 (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (2.0k citations), Molecular Biology (3.8k citations), Plant Science (1.5k citations), Cancer Research (569 citations) and Endocrinology (172 citations). Robert M. Davies has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include James Bonfield, Thomas Keane, John Marshall, Heng Li, Petr Danecek, Valeriu Ohan, Andrew Whitwham, Martin Pollard, Shane McCarthy and Jennifer Liddle. Their work appears in journals such as Nature Genetics, Bioinformatics, GigaScience, Scientific Reports and Molecular Ecology Resources.
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.