Corbin Quick
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Bioinformatics and Genomic Networks 4
-
- COVID-19 epidemiological studies 5
- Co-authors
- Xihong Lin (7 shared papers)Xiaoquan Wen (3 shared papers)Rounak Dey (3 shared papers)Roger Piqué-Regi (2 shared papers)Francesca Luca (2 shared papers)Hae Kyung Im (1 shared paper)Alvaro Barbeira (1 shared paper)Yuhua Zhang (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of the American Statistical Association (2 papers)PLoS Genetics (1 paper)Genetics in Medicine (1 paper)Journal of Inflammation Research (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Corbin Quick
13 papers receiving 157 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 26
- Genetics 64
- Computational Mathematics 1
- Molecular Biology 76
- Biological Psychiatry 2
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 | 45 | |
| 2 | 2020 | 22 | |
| 3 | 2020 | 21 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 7 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 |
About Corbin Quick
Corbin Quick is a scholar working on Molecular Biology, Modeling and Simulation, Genetics, Economics and Econometrics and Infectious Diseases, having authored 13 papers that have together received 159 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Bioinformatics and Genomic Networks (4 papers), COVID-19 Pandemic Impacts (3 papers), Genetic Associations and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Modeling and Simulation (26 citations), Genetics (64 citations), Computational Mathematics (1 citation), Molecular Biology (76 citations) and Biological Psychiatry (2 citations). Corbin Quick has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Xihong Lin, Xiaoquan Wen, Rounak Dey, Roger Piqué-Regi, Francesca Luca, Hae Kyung Im, Alvaro Barbeira, Yuhua Zhang, Ketian Yu and Michael Boehnke. Their work appears in journals such as Bioinformatics, Journal of the American Statistical Association, PLoS Genetics, Genetics in Medicine and Journal of Inflammation 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.