Pierrick Wainschtein
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
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- Bioinformatics and Genomic Networks 1
- RNA and protein synthesis mechanisms 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Jeremy Schwartzentruber (1 shared paper)Jeremy F. McRae (1 shared paper)Noah Zaitlen (1 shared paper)Sriram S Sankararaman (1 shared paper)Julia Sidorenko (1 shared paper)Jian Zeng (1 shared paper)Peter M. Visscher (1 shared paper)Michael Edward Goddard (1 shared paper)
- Journals
- Science (2 papers)Nature Genetics (1 paper)Nature (1 paper)Yearbook of pediatric endocrinology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Pierrick Wainschtein
5 papers receiving 339 citations
Pierrick Wainschtein's Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 213
- Computational Mathematics 1
- Experimental and Cognitive Psychology 20
- Molecular Biology 92
- Aging 2
Countries citing papers authored by Pierrick Wainschtein
This map shows the geographic impact of Pierrick Wainschtein'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 Pierrick Wainschtein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierrick Wainschtein more than expected).
Fields of papers citing papers by Pierrick Wainschtein
This network shows the impact of papers produced by Pierrick Wainschtein. 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 Pierrick Wainschtein. The network helps show where Pierrick Wainschtein may publish in the future.
Co-authors
The 14 scholars most cited alongside Pierrick Wainschtein, 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 | Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data Hit paper breakdown → | 2022 | 205 |
| 2 | 2019 | 75 | |
| 3 | 2023 | 42 | |
| 4 | 2025 | 16 | |
| 5 | 2025 | 6 |
About Pierrick Wainschtein
Pierrick Wainschtein is a scholar working on Genetics, Molecular Biology, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 5 papers that have together received 344 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Bioinformatics and Genomic Networks (1 paper), RNA and protein synthesis mechanisms (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Genetics (213 citations), Computational Mathematics (1 citation), Experimental and Cognitive Psychology (20 citations), Molecular Biology (92 citations) and Aging (2 citations). Pierrick Wainschtein has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jeremy Schwartzentruber, Jeremy F. McRae, Noah Zaitlen, Sriram S Sankararaman, Julia Sidorenko, Jian Zeng, Peter M. Visscher, Michael Edward Goddard, Irfahan Kassam and Petko P. Fiziev. Their work appears in journals such as Science, Nature Genetics, Nature and Yearbook of pediatric endocrinology.
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.