Olivier Delaneau
- Genetics top 0.2%
- Molecular Biology top 2%
- Epidemiology top 5%
- Cancer Research top 5%
- Physiology top 5%
- Co-authors
- Jonathan MarchiniJean‐François ZaguryKevin SharpJared O’ConnellSamantha WelshAllan MotyerAdrián CortésLloyd T. Elliott
- Topics
- Genetic Associations and Epidemiology (24 papers)Genetic Mapping and Diversity in Plants and Animals (18 papers)Gene expression and cancer classification (14 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Olivier Delaneau
46 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Genetics 4.2k
- Molecular Biology 2.6k
- Epidemiology 639
- Cancer Research 632
- Physiology 586
Countries citing papers authored by Olivier Delaneau
This map shows the geographic impact of Olivier Delaneau'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 Olivier Delaneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Delaneau more than expected).
Fields of papers citing papers by Olivier Delaneau
This network shows the impact of papers produced by Olivier Delaneau. 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 Olivier Delaneau. The network helps show where Olivier Delaneau may publish in the future.
Co-authorship network of co-authors of Olivier Delaneau
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Delaneau. A scholar is included among the top collaborators of Olivier Delaneau 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 Olivier Delaneau. Olivier Delaneau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | Accurate rare variant phasing of whole-genome and whole-exome sequencing data in the UK Biobankbreakdown → | 72 |
| 5 | 54 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 63 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | Efficient phasing and imputation of low-coverage sequencing data using large reference panelsbreakdown → | 178 |
| 16 | 43 | |
| 17 | 40 | |
| 18 | 255 | |
| 19 | 29 | |
| 20 | 34 |
About Olivier Delaneau
Olivier Delaneau is a scholar working on Genetics, Virology and Molecular Biology, having authored 47 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Gene expression and cancer classification (14 papers). The work is most often cited by research in Genetics (4.2k citations), Cancer Research (632 citations) and Molecular Biology (2.6k citations). Olivier Delaneau has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Jonathan Marchini, Jean‐François Zagury, Kevin Sharp, Jared O’Connell, Samantha Welsh, Allan Motyer, Adrián Cortés, Lloyd T. Elliott, Gil McVean and Colin Freeman. Their work appears in journals such as Nature, Nature Communications and Nature Genetics.
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.