Corbin Quick

660 total citations
13 papers, 159 citations indexed

About

Corbin Quick is a scholar working on Molecular Biology, Modeling and Simulation and Genetics. According to data from OpenAlex, Corbin Quick has authored 13 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Modeling and Simulation and 4 papers in Genetics. Recurrent topics in Corbin Quick's work include COVID-19 epidemiological studies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Corbin Quick is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Corbin Quick collaborates with scholars based in United States, Austria and Italy. Corbin Quick's co-authors include Xihong Lin, Xiaoquan Wen, Roger Piqué-Regi, Rounak Dey, Francesca Luca, Ketian Yu, Alvaro Barbeira, Yuhua Zhang, Hae Kyung Im and Michael Boehnke and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Genome biology.

In The Last Decade

Corbin Quick

13 papers receiving 157 citations

Peers

Corbin Quick
Francesca Piceci‐Sparascio Italy
Roberta De Vito United States
Hannah Williams United States
Mamta Verma India
Greg Nigh United States
Nicole Maison Germany
Iivo Hetemäki Finland
Nicole E. Franks United States
Flavia Chen United States
Io Hong Cheong China
Francesca Piceci‐Sparascio Italy
Corbin Quick
Citations per year, relative to Corbin Quick Corbin Quick (= 1×) peers Francesca Piceci‐Sparascio

Countries citing papers authored by Corbin Quick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Corbin Quick

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

All Works

13 of 13 papers shown
1.
Gaynor, Sheila M., et al.. (2022). COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool. Bioinformatics. 38(9). 2661–2663. 7 indexed citations
2.
Quick, Corbin, Marta Guasch‐Ferré, Zhu Zhuo, et al.. (2021). The Association Between Inflammatory and Oxidative Stress Biomarkers and Plasma Metabolites in a Longitudinal Study of Healthy Male Welders. Journal of Inflammation Research. Volume 14. 2825–2839. 6 indexed citations
3.
Li, Daniel, Sheila M. Gaynor, Corbin Quick, et al.. (2021). Identifying US County-level characteristics associated with high COVID-19 burden. BMC Public Health. 21(1). 1007–1007. 12 indexed citations
4.
Quick, Corbin, Rounak Dey, & Xihong Lin. (2021). Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. Journal of the American Statistical Association. 116(536). 1591–1594. 1 indexed citations
5.
Mann, Rupinder, Rebecca Preston, A. Arnold, et al.. (2021). Nosocomial or not? A combined epidemiological and genomic investigation to understand hospital-acquired COVID-19 infection on an elderly care ward. Infection Prevention in Practice. 3(3). 100165–100165. 3 indexed citations
6.
7.
Quick, Corbin, Rounak Dey, & Xihong Lin. (2021). Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. Journal of the American Statistical Association. 116(536). 1561–1577. 17 indexed citations
8.
Dickey, Amy K., Corbin Quick, Sarah Ducamp, et al.. (2020). Evidence in the UK Biobank for the underdiagnosis of erythropoietic protoporphyria. Genetics in Medicine. 23(1). 140–148. 22 indexed citations
9.
Zhang, Yuhua, Corbin Quick, Ketian Yu, et al.. (2020). PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis. Genome biology. 21(1). 232–232. 45 indexed citations
10.
Quick, Corbin, Xiaoquan Wen, Gonçalo R. Abecasis, Michael Boehnke, & Hyun Min Kang. (2020). Integrating comprehensive functional annotations to boost power and accuracy in gene-based association analysis. PLoS Genetics. 16(12). e1009060–e1009060. 12 indexed citations
11.
Quick, Corbin, Pramod Anugu, Solomon K. Musani, et al.. (2020). Sequencing and imputation in GWAS: Cost‐effective strategies to increase power and genomic coverage across diverse populations. Genetic Epidemiology. 44(6). 537–549. 21 indexed citations
12.
Quick, Corbin, et al.. (2019). BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis. Bioinformatics. 36(6). 1689–1695. 6 indexed citations
13.
Quick, Corbin, Christian Fuchsberger, Daniel Taliun, et al.. (2018). emeraLD: rapid linkage disequilibrium estimation with massive datasets. Bioinformatics. 35(1). 164–166. 6 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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