Corbin Quick
Impact in
-
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Evolution and Genetic Dynamics
- Genomic variations and chromosomal abnormalities
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- COVID-19 epidemiological studies 3
- Genetics 7
- Genetic Associations and Epidemiology 6
- Genomics and Rare Diseases 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Xihong Lin (6 shared papers)Xiaoquan Wen (3 shared papers)Rounak Dey (3 shared papers)Francesca Luca (2 shared papers)Roger Piqué-Regi (2 shared papers)Yuhua Zhang (1 shared paper)Ketian Yu (1 shared paper)Michael Boehnke (3 shared papers)
- Journals
- Bioinformatics (3 papers)Journal of the American Statistical Association (2 papers)Proceedings of the National Academy of Sciences (1 paper)Genetics in Medicine (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Corbin Quick
15 papers receiving 342 citations
Peers
Comparison fields: 5 of 90
- Genetics 181
- Modeling and Simulation 26
- Molecular Biology 149
- Cancer Research 28
- Computational Mathematics 1
Countries citing papers authored by Corbin Quick
This map shows the geographic impact of Corbin Quick'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 Corbin Quick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corbin Quick more than expected).
Fields of papers citing papers by Corbin Quick
This network shows the impact of papers produced by Corbin Quick. 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 Corbin Quick. The network helps show where Corbin Quick may publish in the future.
Co-authors
The 25 scholars most cited alongside Corbin Quick, 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 | 2020 | 70 | |
| 2 | 2022 | 67 | |
| 3 | 2020 | 48 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2018 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 1 |
About Corbin Quick
Corbin Quick is a scholar working on Modeling and Simulation, Genetics, Molecular Biology, Infectious Diseases and Economics and Econometrics, having authored 15 papers that have together received 346 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (5 papers), COVID-19 epidemiological studies (3 papers), Genomics and Rare Diseases (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Pandemic Impacts (2 papers), CRISPR and Genetic Engineering (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (181 citations), Modeling and Simulation (26 citations), Molecular Biology (149 citations), Cancer Research (28 citations) and Computational Mathematics (1 citation). Corbin Quick has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Xihong Lin, Xiaoquan Wen, Rounak Dey, Francesca Luca, Roger Piqué-Regi, Yuhua Zhang, Ketian Yu, Michael Boehnke, Alvaro Barbeira and Hae Kyung Im. Their work appears in journals such as Bioinformatics, Journal of the American Statistical Association, Proceedings of the National Academy of Sciences, Genetics in Medicine and Nature 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.