Paul A. Scheet
Impact in
- Genetics top 0.05%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 59
- Genetic Associations and Epidemiology 41
- Genomic variations and chromosomal abnormalities 13
- Genetic Mapping and Diversity in Plants and Animals 11
- Genomics and Rare Diseases 10
- Genetic and phenotypic traits in livestock 9
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- Cancer Genomics and Diagnostics 27
- Co-authors
- Matthew Stephens (4 shared papers)Gonçalo R. Abecasis (6 shared papers)Yun Li (3 shared papers)Cristen J. Willer (2 shared papers)Jun Ding (1 shared paper)Selina Vattathil (5 shared papers)Francis Anthony San Lucas (16 shared papers)Funda Meric‐Bernstam (2 shared papers)
- Journals
- Nature Genetics (12 papers)The American Journal of Human Genetics (9 papers)Blood (9 papers)Genetic Epidemiology (8 papers)Nature (7 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Paul A. Scheet
155 papers receiving 31.2k citations
Paul A. Scheet's Hit Papers
Peers
Comparison fields: 5 of 205
- Genetics 12.4k
- Cancer Research 3.0k
- Molecular Biology 10.6k
- Endocrine and Autonomic Systems 712
- Oncology 2.7k
Countries citing papers authored by Paul A. Scheet
This map shows the geographic impact of Paul A. 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 A. 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 A. Scheet more than expected).
Fields of papers citing papers by Paul A. Scheet
This network shows the impact of papers produced by Paul A. 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 A. Scheet. The network helps show where Paul A. Scheet may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul A. Scheet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6317 |
| 2 | New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk Hit paper breakdown → | 2010 | 1842 |
| 3 | MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes Hit paper breakdown → | 2010 | 1559 |
| 4 | A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase Hit paper breakdown → | 2006 | 1544 |
| 5 | Six new loci associated with body mass index highlight a neuronal influence on body weight regulation Hit paper breakdown → | 2008 | 1450 |
| 6 | Newly identified loci that influence lipid concentrations and risk of coronary artery disease Hit paper breakdown → | 2008 | 1365 |
| 7 | Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes Hit paper breakdown → | 2019 | 1230 |
| 8 | Common variants at 30 loci contribute to polygenic dyslipidemia Hit paper breakdown → | 2008 | 1177 |
| 9 | Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation Hit paper breakdown → | 2005 | 1167 |
| 10 | Genome-wide association study identifies eight loci associated with blood pressure Hit paper breakdown → | 2009 | 1019 |
| 11 | The DNA sequence of human chromosome 22 Hit paper breakdown → | 1999 | 846 |
| 12 | Clonal evolution in breast cancer revealed by single nucleus genome sequencing Hit paper breakdown → | 2014 | 784 |
| 13 | Genotype, haplotype and copy-number variation in worldwide human populations Hit paper breakdown → | 2008 | 687 |
| 14 | STrengthening the REporting of Genetic Association Studies (STREGA)— An Extension of the STROBE Statement Hit paper breakdown → | 2009 | 657 |
| 15 | Variants in MTNR1B influence fasting glucose levels Hit paper breakdown → | 2008 | 634 |
| 16 | Inherited causes of clonal haematopoiesis in 97,691 whole genomes Hit paper breakdown → | 2020 | 544 |
| 17 | 2010 | 538 | |
| 18 | Demographic history and rare allele sharing among human populations Hit paper breakdown → | 2011 | 475 |
| 19 | Meta-Analysis of Genome-Wide Association Studies in >80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels Hit paper breakdown → | 2011 | 436 |
| 20 | 2010 | 416 |
About Paul A. Scheet
Paul A. Scheet is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 159 papers that have together received 31.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (41 papers), Cancer Genomics and Diagnostics (27 papers), Genomic variations and chromosomal abnormalities (13 papers), Epigenetics and DNA Methylation (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic factors in colorectal cancer (11 papers), Genomics and Rare Diseases (10 papers) and Genetic and phenotypic traits in livestock (9 papers). The work is most often cited by research in Genetics (12.4k citations), Cancer Research (3.0k citations), Molecular Biology (10.6k citations), Endocrine and Autonomic Systems (712 citations) and Oncology (2.7k citations). Paul A. Scheet has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Matthew Stephens, Gonçalo R. Abecasis, Yun Li, Cristen J. Willer, Jun Ding, Selina Vattathil, Francis Anthony San Lucas, Funda Meric‐Bernstam, Han Liang and Yong Wang. Their work appears in journals such as Nature Genetics, The American Journal of Human Genetics, Blood, Genetic Epidemiology and Nature.
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.