Hudgens, Michael G.
University of North Carolina at Chapel Hill
7 papers on CoChatORCID 0000-0002-9106-4194
Most cited papers
- Verified · note
Generalizing Study Results: A Potential Outcomes Perspective
Lesko, C. R., Buchanan, A. L., Westreich, D., Edwards, J. K., Hudgens, M. G., & Cole, S. R. (2017) · Epidemiology
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 269
- Verified
Overweight and obese adult humans have a defective cellular immune response to pandemic H1N1 Influenza a virus: Obese/Overweight Response to Influenza
Paich, H. A., Sheridan, P. A., Handy, J., Karlsson, E. A., Schultz-Cherry, S., Hudgens, M. G., Noah, T. L., Weir, S. S., & Beck, M. A. (2013) · Obesity
Influenza Virus Research StudiesAdipokines, Inflammation, and Metabolic Diseases
Cited by 184
- Verified
Expression of p16INK4a as a biomarker of T‐cell aging in HIV‐infected patients prior to and during antiretroviral therapy
Nelson, J. A. E., Krishnamurthy, J., Menezes, P., Liu, Y., Hudgens, M. G., Sharpless, N. E., & Eron, J. J. (2012) · Aging Cell
HIV Research and TreatmentTelomeres, Telomerase, and Senescence
Cited by 66
- Verified
Invited Commentary: Beware the Test-Negative Design
Westreich, D., & Hudgens, M. G. (2016) · American Journal of Epidemiology
Advanced Causal Inference TechniquesInfluenza Virus Research Studies
Cited by 65
- Verified
Causal Impact: Epidemiological Approaches for a Public Health of Consequence
Westreich, D., Edwards, J. K., Rogawski, E. T., Hudgens, M. G., Stuart, E. A., & Cole, S. R. (2016) · American Journal of Public Health
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 51
- Verified
Comparing HIV case detection in prison during opt-in vs. opt-out testing policies.
Rosen, D. L., Wohl, D. A., Golin, C. E., Rigdon, J., May, J., White, B. L., Leone, P. A., Hudgens, M. G., & Bowling, J. M. (2016) · JAIDS Journal of Acquired Immune Deficiency Syndromes
HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual Risk
Cited by 19
- Verified
Extended Human Papillomavirus Genotyping to Predict Progression to High-Grade Cervical Precancer: A Prospective Cohort Study in the Southeastern United States
Bukowski, A., Hoyo, C., Hudgens, M. G., Brewster, W. R., Valea, F., Bentley, R. C., Vidal, A. C., Maguire, R. L., Schmitt, J. W., Murphy, S. K., et al. (2022) · Cancer Epidemiology, Biomarkers & Prevention
Cervical Cancer and HPV ResearchReproductive tract infections research
Cited by 9
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