Paul Scheet
- Genetics top 0.2%
- Genetic Associations and Epidemiology 16
- Genetic Mapping and Diversity in Plants and Animals 10
- Genomic variations and chromosomal abnormalities 10
- Genetic and phenotypic traits in livestock 8
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 17
- Oncology top 2%
- Molecular Biology top 2%
- Gene expression and cancer classification 8
- Immunology top 5%
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- Genetic factors in colorectal cancer 9
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- Lung Cancer Treatments and Mutations 8
- Co-authors
- Matthew StephensGonçalo R. AbecasisYun LiCristen J. WillerJun DingSelina VattathilF. Anthony San LucasFunda Meric‐Bernstam
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Genetic Epidemiology (7 papers)Cancer Research (7 papers)The American Journal of Human Genetics (6 papers)
- Partner nations
- United StatesLebanonNetherlands
In The Last Decade
Paul Scheet
80 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Genetics 3.3k
- Cancer Research 1.3k
- Oncology 1.2k
- Molecular Biology 2.6k
- Immunology 477
Countries citing papers authored by Paul Scheet
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
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
The 25 scholars most cited alongside Paul 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 258 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 11 | |
| 12 | 2017 | 30 | |
| 13 | 2017 | 69 | |
| 14 | 2016 | 41 | |
| 15 | Shared HLA Class I and II Alleles in Susceptibility to Ankylosing Spondylitis Among Three Ethnic Groups. | 2014 | 1 |
| 16 | 2014 | 45 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 28 | |
| 19 | 2012 | 13 | |
| 20 | 2008 | 16 |
About Paul Scheet
Paul Scheet is a scholar working on Cancer Research, Genetics and Oncology, having authored 82 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Genetic Associations and Epidemiology (16 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genomic variations and chromosomal abnormalities (10 papers), Genetic factors in colorectal cancer (9 papers), Lung Cancer Treatments and Mutations (8 papers), Gene expression and cancer classification (8 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Genetics (3.3k citations), Cancer Research (1.3k citations) and Oncology (1.2k citations). Paul Scheet has collaborated with scholars based in United States, Lebanon and Netherlands. Frequent co-authors include Matthew Stephens, Gonçalo R. Abecasis, Yun Li, Cristen J. Willer, Jun Ding, Selina Vattathil, F. Anthony San Lucas, Funda Meric‐Bernstam, Yong Wang and Franziska Michor. Their work appears in journals such as Genetic Epidemiology, Cancer Research, The American Journal of Human Genetics, Cancer Prevention Research and Clinical Cancer Research.
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.