Peter VandeHaar
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
Papers in
-
- Bioinformatics and Genomic Networks 4
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Genetics 6
- Genetic Associations and Epidemiology 6
- BRCA gene mutations in cancer 2
- Co-authors
- Gonçalo R. Abecasis (5 shared papers)Lars G. Fritsche (6 shared papers)Seunggeun Lee (3 shared papers)Wei Zhou (2 shared papers)Hyun Min Kang (2 shared papers)Cristen J. Willer (2 shared papers)Sarah A. Gagliano Taliun (2 shared papers)Jonathon LeFaive (2 shared papers)
- Journals
- The American Journal of Human Genetics (3 papers)Bioinformatics (2 papers)Cell Genomics (1 paper)Nature Genetics (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaNorway
In The Last Decade
Peter VandeHaar
9 papers receiving 934 citations
Peter VandeHaar's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 526
- Cancer Research 76
- Molecular Biology 328
- Rheumatology 58
- Immunology 78
Countries citing papers authored by Peter VandeHaar
This map shows the geographic impact of Peter VandeHaar'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 Peter VandeHaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter VandeHaar more than expected).
Fields of papers citing papers by Peter VandeHaar
This network shows the impact of papers produced by Peter VandeHaar. 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 Peter VandeHaar. The network helps show where Peter VandeHaar may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter VandeHaar, 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 | Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies Hit paper breakdown → | 2018 | 596 |
| 2 | 2021 | 135 | |
| 3 | 2020 | 67 | |
| 4 | 2019 | 45 | |
| 5 | 2023 | 40 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 9 | |
| 9 | 2016 | 1 |
About Peter VandeHaar
Peter VandeHaar is a scholar working on Molecular Biology, Genetics, Oncology, Rheumatology and Statistics and Probability, having authored 9 papers that have together received 937 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), BRCA gene mutations in cancer (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Genetics (526 citations), Cancer Research (76 citations), Molecular Biology (328 citations), Rheumatology (58 citations) and Immunology (78 citations). Peter VandeHaar has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include Gonçalo R. Abecasis, Lars G. Fritsche, Seunggeun Lee, Wei Zhou, Hyun Min Kang, Cristen J. Willer, Sarah A. Gagliano Taliun, Jonathon LeFaive, Aliya Gifford and Kristian Hveem. Their work appears in journals such as The American Journal of Human Genetics, Bioinformatics, Cell Genomics, Nature Genetics and PLoS 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.