Christopher S. McMahan

2.1k total citations
90 papers, 1.2k citations indexed

About

Christopher S. McMahan is a scholar working on Infectious Diseases, Epidemiology and Statistics and Probability. According to data from OpenAlex, Christopher S. McMahan has authored 90 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 22 papers in Epidemiology and 19 papers in Statistics and Probability. Recurrent topics in Christopher S. McMahan's work include SARS-CoV-2 detection and testing (28 papers), Statistical Methods and Inference (15 papers) and Biosensors and Analytical Detection (13 papers). Christopher S. McMahan is often cited by papers focused on SARS-CoV-2 detection and testing (28 papers), Statistical Methods and Inference (15 papers) and Biosensors and Analytical Detection (13 papers). Christopher S. McMahan collaborates with scholars based in United States, Indonesia and Colombia. Christopher S. McMahan's co-authors include Joshua M. Tebbs, Christopher R. Bilder, Lianming Wang, Michael J. Yabsley, Daniel J. Robertson, Lior Rennert, Shila K. Nordone, Robert Lund, Rajandeep S. Sekhon and Jenna R. Gettings and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Christopher S. McMahan

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher S. McMahan United States 20 551 252 186 174 150 90 1.2k
Day‐Yu Chao Taiwan 21 869 1.6× 174 0.7× 476 2.6× 62 0.4× 28 0.2× 72 1.7k
José Cortiñas Abrahantes Belgium 26 329 0.6× 139 0.6× 200 1.1× 470 2.7× 25 0.2× 68 1.7k
Erik Jørgensen Denmark 24 99 0.2× 42 0.2× 119 0.6× 277 1.6× 54 0.4× 80 1.7k
Tilman M. Davies New Zealand 16 57 0.1× 106 0.4× 154 0.8× 87 0.5× 16 0.1× 42 806
Helen E. Clough United Kingdom 19 261 0.5× 23 0.1× 118 0.6× 102 0.6× 15 0.1× 49 1.1k
Miquel Calvo Spain 20 660 1.2× 29 0.1× 76 0.4× 25 0.1× 97 0.6× 41 1.4k
Freyja Lynn United States 14 137 0.2× 49 0.2× 318 1.7× 23 0.1× 85 0.6× 16 1.1k
Rob Deardon Canada 17 151 0.3× 73 0.3× 166 0.9× 427 2.5× 9 0.1× 79 1.1k
Theodore Kypraios United Kingdom 17 199 0.4× 104 0.4× 182 1.0× 90 0.5× 10 0.1× 61 908
Nikolaos Demiris United Kingdom 14 98 0.2× 46 0.2× 241 1.3× 53 0.3× 21 0.1× 32 619

Countries citing papers authored by Christopher S. McMahan

Since Specialization
Citations

This map shows the geographic impact of Christopher S. McMahan'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 Christopher S. McMahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. McMahan more than expected).

Fields of papers citing papers by Christopher S. McMahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher S. McMahan. 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 Christopher S. McMahan. The network helps show where Christopher S. McMahan may publish in the future.

Co-authorship network of co-authors of Christopher S. McMahan

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

All Works

20 of 20 papers shown
1.
Lebonville, Christina L., Jennifer A. Rinker, Christopher S. McMahan, et al.. (2025). Alcohol drinking is associated with greater calcium activity in mouse central amygdala dynorphin-expressing neurons. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 141. 111445–111445.
2.
Li, Xingbao, Kevin A. Caulfield, Andrew A. Chen, et al.. (2025). Salience Network Connectivity Predicts Response to Repetitive Transcranial Magnetic Stimulation in Smoking Cessation: A Preliminary Machine Learning Study. Brain Connectivity. 15(8). 319–329.
3.
4.
McMahan, Christopher S., et al.. (2024). Gradient boosting: A computationally efficient alternative to Markov chain Monte Carlo sampling for fitting large Bayesian spatio-temporal binomial regression models. Infectious Disease Modelling. 10(1). 189–200. 1 indexed citations
5.
Hu, Tao, et al.. (2024). Regression analysis of group-tested current status data. Biometrika. 111(3). 1047–1061. 3 indexed citations
6.
Mulholland, Patrick J., Stefano Berto, Phillip A. Wilmarth, et al.. (2023). Adaptor protein complex 2 in the orbitofrontal cortex predicts alcohol use disorder. Molecular Psychiatry. 28(11). 4766–4776. 5 indexed citations
7.
Gettings, Jenna R., Christopher S. McMahan, Christopher A. Cleveland, et al.. (2023). Association between vector-borne pathogen seroprevalence in shelter-housed and owned dog populations in the contiguous United States of America. Parasites & Vectors. 16(1). 405–405. 3 indexed citations
8.
Stubbs, Christopher J., Douglas D. Cook, Seth DeBolt, et al.. (2023). Moving toward short stature maize: The effect of plant height on maize stalk lodging resistance. Field Crops Research. 300. 109008–109008. 35 indexed citations
9.
Yang, Yuan, et al.. (2023). SIGHR: Side information guided high-dimensional regression. Statistical Methods in Medical Research. 32(11). 2270–2282.
10.
Baurley, James W., Andrew W. Bergen, Carolyn M. Ervin, et al.. (2022). Predicting nicotine metabolism across ancestries using genotypes. BMC Genomics. 23(1). 663–663. 2 indexed citations
11.
Bergen, Andrew W., Christopher S. McMahan, Carolyn M. Ervin, et al.. (2021). Multiethnic Prediction of Nicotine Biomarkers and Association With Nicotine Dependence. Nicotine & Tobacco Research. 23(12). 2162–2169. 4 indexed citations
12.
Stubbs, Christopher J., et al.. (2021). The Overlooked Biomechanical Role of the Clasping Leaf Sheath in Wheat Stalk Lodging. Frontiers in Plant Science. 12. 617880–617880. 13 indexed citations
13.
Rennert, Lior, Corey A. Kalbaugh, Lu Shi, & Christopher S. McMahan. (2020). Modelling the impact of presemester testing on COVID-19 outbreaks in university campuses. BMJ Open. 10(12). e042578–e042578. 17 indexed citations
14.
Stubbs, Christopher J., et al.. (2020). Diverse maize hybrids are structurally inefficient at resisting wind induced bending forces that cause stalk lodging. Plant Methods. 16(1). 67–67. 28 indexed citations
15.
Celli, Paolo, et al.. (2020). Compliant morphing structures from twisted bulk metallic glass ribbons. Journal of the Mechanics and Physics of Solids. 145. 104129–104129. 10 indexed citations
16.
Self, Stella, Yan Liu, Shila K. Nordone, et al.. (2019). Canine vector-borne disease: mapping and the accuracy of forecasting using big data from the veterinary community. Animal Health Research Reviews. 20(1). 47–60. 16 indexed citations
17.
Yang, Tao, Colin Gallagher, & Christopher S. McMahan. (2018). A robust regression methodology via M-estimation. Communication in Statistics- Theory and Methods. 48(5). 1092–1107. 14 indexed citations
18.
McMahan, Christopher S., et al.. (2018). A Gamma-frailty proportional hazards model for bivariate interval-censored data. Computational Statistics & Data Analysis. 128. 354–366. 6 indexed citations
19.
McMahan, Christopher S., Joshua M. Tebbs, & Christopher R. Bilder. (2012). Regression models for group testing data with pool dilution effects. Biostatistics. 14(2). 284–298. 37 indexed citations
20.
McMahan, Christopher S., Joshua M. Tebbs, & Christopher R. Bilder. (2011). Two‐Dimensional Informative Array Testing. Biometrics. 68(3). 793–804. 28 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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