Paul Scheet

32.5k total citations · 4 hit papers
82 papers, 7.1k citations indexed

About

Paul Scheet is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Paul Scheet has authored 82 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 31 papers in Genetics and 18 papers in Oncology. Recurrent topics in Paul Scheet's work include Cancer Genomics and Diagnostics (17 papers), Genetic Associations and Epidemiology (16 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Paul Scheet is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Genetic Associations and Epidemiology (16 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Paul Scheet collaborates with scholars based in United States, Lebanon and Netherlands. Paul Scheet's co-authors include Matthew Stephens, Gonçalo R. Abecasis, Yun Li, Jun Ding, Cristen J. Willer, Selina Vattathil, F. Anthony San Lucas, Funda Meric‐Bernstam, Ken Chen and Whijae Roh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Paul Scheet

80 papers receiving 7.0k citations

Hit Papers

align trajectories

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.

A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase

2006 1.4k citations Paul Scheet, Matthew Stephens profile →
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

2010 1.1k citations Paul Scheet et al. profile →
Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation

2005 1.1k citations Matthew Stephens, Paul Scheet profile →
Clonal evolution in breast cancer revealed by single nucleus genome sequencing

2014 711 citations Paul Scheet, Selina Vattathil et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Scheet United States	29	3.3k	2.6k	1.3k	1.2k	573	82	7.1k
William McLaren United Kingdom	13	2.9k 0.9×	3.2k 1.3×	1.1k 0.9×	575 0.5×	303 0.5×	16	6.4k
Sarah Hunt United Kingdom	28	4.1k 1.3×	3.9k 1.5×	1.1k 0.8×	557 0.5×	681 1.2×	55	8.2k
Manuel A. Rivas United States	5	3.6k 1.1×	4.3k 1.7×	1.4k 1.1×	552 0.5×	1.0k 1.8×	5	8.4k
Jared Maguire United States	8	3.7k 1.1×	4.5k 1.7×	1.5k 1.2×	582 0.5×	1.1k 2.0×	8	8.5k
Laurent Gil United Kingdom	7	3.0k 0.9×	3.1k 1.2×	1.0k 0.8×	482 0.4×	252 0.4×	7	6.1k
Eric S. Lander United States	13	2.6k 0.8×	4.0k 1.6×	976 0.8×	815 0.7×	452 0.8×	18	7.2k
Robert S. Fulton United States	38	1.7k 0.5×	4.7k 1.9×	1.1k 0.8×	692 0.6×	973 1.7×	85	7.9k
Heike Fiegler United Kingdom	33	2.2k 0.7×	4.3k 1.7×	945 0.7×	750 0.6×	1.0k 1.8×	53	7.0k
Brendan Blumenstiel United States	8	2.4k 0.7×	2.1k 0.8×	628 0.5×	469 0.4×	346 0.6×	12	5.4k
Andrew Collins United Kingdom	46	3.6k 1.1×	2.5k 1.0×	707 0.6×	503 0.4×	879 1.5×	204	7.2k

Countries citing papers authored by Paul Scheet

Since Specialization

Citations

This map shows the geographic impact of Paul Scheet'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 Paul Scheet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Scheet more than expected).

Fields of papers citing papers by Paul Scheet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Scheet. 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 Paul Scheet. The network helps show where Paul Scheet may publish in the future.

Co-authorship network of co-authors of Paul Scheet

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

All Works

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20 of 20 papers shown

Ostrin, Edwin J., Jianjun Zhang, Jia Wu, et al.. (2025). Risk of second primary lung cancer among cancer survivors stratified by the site of first primary cancer and the lung cancer screening eligibility status. International Journal of Cancer. 157(5). 941–953.

Nead, Kevin T., Tae‐Beom Kim, Jing Zhao, et al.. (2024). Impact of cancer therapy on clonal hematopoiesis mutations and subsequent clinical outcomes. Blood Advances. 8(19). 5215–5224. 9 indexed citations

Sivakumar, Smruthy, et al.. (2021). Pan cancer patterns of allelic imbalance from chromosomal alterations in 33 tumor types. Genetics. 217(1). 1–12. 4 indexed citations

Borràs, Ester, Wenhui Wu, Kyle Chang, et al.. (2021). Combination of Sulindac and Bexarotene for Prevention of Intestinal Carcinogenesis in Familial Adenomatous Polyposis. Cancer Prevention Research. 14(9). 851–862. 10 indexed citations

Zhang, Xiaotao, Kristi L. Hoffman, Peng Wei, et al.. (2020). Baseline Oral Microbiome and All-cancer Incidence in a Cohort of Nonsmoking Mexican American Women. Cancer Prevention Research. 14(3). 383–392. 5 indexed citations

Semaan, Alexander, Vincent Bernard, Jaewon J. Lee, et al.. (2020). Defining the Comprehensive Genomic Landscapes of Pancreatic Ductal Adenocarcinoma Using Real-World Endoscopic Aspiration Samples. Clinical Cancer Research. 27(4). 1082–1093. 20 indexed citations

Bernard, Vincent, Alexander Semaan, Jonathan Huang, et al.. (2018). Single-Cell Transcriptomics of Pancreatic Cancer Precursors Demonstrates Epithelial and Microenvironmental Heterogeneity as an Early Event in Neoplastic Progression. Clinical Cancer Research. 25(7). 2194–2205. 258 indexed citations

Kantrowitz, Jacob, Ansam Sinjab, Xu Li, et al.. (2018). Genome-Wide Gene Expression Changes in the Normal-Appearing Airway during the Evolution of Smoking-Associated Lung Adenocarcinoma. Cancer Prevention Research. 11(4). 237–248. 15 indexed citations

Adam, Liana, F. Anthony San Lucas, Richard Fowler, et al.. (2018). DNA Sequencing of Small Bowel Adenocarcinomas Identifies Targetable Recurrent Mutations in the ERBB2 Signaling Pathway. Clinical Cancer Research. 25(2). 641–651. 19 indexed citations

10.

Hoffman, Kristi L., Diane S. Hutchinson, Jerry Fowler, et al.. (2018). Oral microbiota reveals signs of acculturation in Mexican American women. PLoS ONE. 13(4). e0194100–e0194100. 23 indexed citations

11.

Yu, Yao, Hao Hu, Jiun‐Sheng Chen, et al.. (2018). Integrated case-control and somatic-germline interaction analyses of melanoma susceptibility genes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(6). 2247–2254. 11 indexed citations

12.

Goldstein, Jennifer B., William Ka Kei Wu, Ester Borràs, et al.. (2017). Can Microsatellite Status of Colorectal Cancer Be Reliably Assessed after Neoadjuvant Therapy?. Clinical Cancer Research. 23(17). 5246–5254. 30 indexed citations

13.

Sivakumar, Smruthy, F. Anthony San Lucas, Wenhua Lang, et al.. (2017). Genomic Landscape of Atypical Adenomatous Hyperplasia Reveals Divergent Modes to Lung Adenocarcinoma. Cancer Research. 77(22). 6119–6130. 69 indexed citations

14.

Zhou, Xiaodong, Michael H. Weisman, Michael M. Ward, et al.. (2014). Shared HLA Class I and II Alleles in Susceptibility to Ankylosing Spondylitis Among Three Ethnic Groups.. Queensland's institutional digital repository (The University of Queensland). 66. 1 indexed citations

15.

Huppertz, Charlotte, Meike Bartels, Maria M. Groen‐Blokhuis, et al.. (2014). The Dopaminergic Reward System and Leisure Time Exercise Behavior: A Candidate Allele Study. BioMed Research International. 2014. 1–9. 21 indexed citations

16.

Morris, Van K., F Anthony San Lucas, Michael J. Overman, et al.. (2014). Clinicopathologic characteristics and gene expression analyses of non-KRAS 12/13, RAS-mutated metastatic colorectal cancer. Annals of Oncology. 25(10). 2008–2014. 45 indexed citations

17.

Abdellaoui, Abdel, Jouke‐Jan Hottenga, Xiangjun Xiao, et al.. (2013). Association Between Autozygosity and Major Depression: Stratification Due to Religious Assortment. Behavior Genetics. 43(6). 455–467. 20 indexed citations

18.

Vattathil, Selina & Paul Scheet. (2012). Haplotype-based profiling of subtle allelic imbalance with SNP arrays. Genome Research. 23(1). 152–158. 28 indexed citations

19.

Amos, Christopher I., Ivan P. Gorlov, Qiong Dong, et al.. (2010). Nicotinic Acetylcholine Receptor Region on Chromosome 15q25 and Lung Cancer Risk Among African Americans: A Case–Control Study. JNCI Journal of the National Cancer Institute. 102(15). 1199–1205. 49 indexed citations

20.

Scheet, Paul & Matthew Stephens. (2008). Linkage Disequilibrium-Based Quality Control for Large-Scale Genetic Studies. PLoS Genetics. 4(8). e1000147–e1000147. 16 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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