Peter VandeHaar

8.1k total citations · 1 hit paper
9 papers, 937 citations indexed

About

Peter VandeHaar is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Peter VandeHaar has authored 9 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 1 paper in Oncology. Recurrent topics in Peter VandeHaar's work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and BRCA gene mutations in cancer (2 papers). Peter VandeHaar is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and BRCA gene mutations in cancer (2 papers). Peter VandeHaar collaborates with scholars based in United States, Norway and South Korea. Peter VandeHaar's co-authors include Gonçalo R. Abecasis, Lars G. Fritsche, Seunggeun Lee, Wei Zhou, Hyun Min Kang, Cristen J. Willer, Jonathon LeFaive, Sarah A. Gagliano Taliun, Lisa A. Bastarache and Wei‐Qi Wei and has published in prestigious journals such as Nature Genetics, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Peter VandeHaar

9 papers receiving 934 citations

Hit Papers

Efficiently controlling for case-control imbalance and sa... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
    2018 596 citations Wei Zhou, Jonas B. Nielsen et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter VandeHaar United States 8 526 328 116 82 78 9 937
Jonathon LeFaive United States 8 462 0.9× 283 0.9× 94 0.8× 63 0.8× 75 1.0× 10 793
Brooke N. Wolford United States 7 391 0.7× 251 0.8× 79 0.7× 78 1.0× 67 0.9× 12 759
Rounak Dey United States 8 486 0.9× 279 0.9× 97 0.8× 61 0.7× 62 0.8× 17 822
Priit Palta Estonia 16 438 0.8× 381 1.2× 71 0.6× 71 0.9× 97 1.2× 43 951
Malika Freund United States 7 527 1.0× 410 1.3× 61 0.5× 38 0.5× 79 1.0× 10 882
Kathryn S. Burch United States 10 514 1.0× 309 0.9× 60 0.5× 42 0.5× 63 0.8× 14 826
Carlos Alberto Longui Brazil 21 413 0.8× 595 1.8× 99 0.9× 180 2.2× 104 1.3× 109 1.5k
Shimul Chowdhury United States 16 660 1.3× 378 1.2× 148 1.3× 68 0.8× 74 0.9× 32 1.0k
Nigel W. Rayner United Kingdom 15 594 1.1× 419 1.3× 133 1.1× 196 2.4× 59 0.8× 25 1.0k
Florence Fellmann Switzerland 18 691 1.3× 417 1.3× 52 0.4× 66 0.8× 55 0.7× 54 1.4k

Countries citing papers authored by Peter VandeHaar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter VandeHaar

This figure shows the co-authorship network connecting the top 25 collaborators of Peter VandeHaar. A scholar is included among the top collaborators of Peter VandeHaar 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 Peter VandeHaar. Peter VandeHaar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zawistowski, Matthew, Lars G. Fritsche, Anita Pandit, et al.. (2023). The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients. Cell Genomics. 3(2). 100257–100257. 40 indexed citations
2.
Boughton, Andrew P., Ryan Welch, Matthew Flickinger, et al.. (2021). LocusZoom.js: interactive and embeddable visualization of genetic association study results. Bioinformatics. 37(18). 3017–3018. 135 indexed citations
3.
Dutta, Diptavo, Peter VandeHaar, Lars G. Fritsche, et al.. (2021). A powerful subset-based method identifies gene set associations and improves interpretation in UK Biobank. The American Journal of Human Genetics. 108(4). 669–681. 9 indexed citations
4.
Kwong, Alan, Andrew P. Boughton, Peter VandeHaar, et al.. (2021). FIVEx: an interactive eQTL browser across public datasets. Bioinformatics. 38(2). 559–561. 22 indexed citations
5.
Fritsche, Lars G., Snehal Patil, Lauren J. Beesley, et al.. (2020). Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks. The American Journal of Human Genetics. 107(5). 815–836. 67 indexed citations
6.
Fritsche, Lars G., Lauren J. Beesley, Peter VandeHaar, et al.. (2019). Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. PLoS Genetics. 15(6). e1008202–e1008202. 22 indexed citations
7.
Zhao, Zhangchen, Wenjian Bi, Wei Zhou, et al.. (2019). UK Biobank Whole-Exome Sequence Binary Phenome Analysis with Robust Region-Based Rare-Variant Test. The American Journal of Human Genetics. 106(1). 3–12. 45 indexed citations
8.
Zhou, Wei, Jonas B. Nielsen, Lars G. Fritsche, et al.. (2018). Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies. Nature Genetics. 50(9). 1335–1341. 596 indexed citations breakdown →
9.
Haarsma, Loren, et al.. (2016). Simulating evolution of protein complexes through gene duplication and co-option. Journal of Theoretical Biology. 399. 22–32. 1 indexed citations

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.

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