Michael G. Hudgens
- Virology top 0.2%
- HIV Research and Treatment 82
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques 60
- Statistical Methods and Inference 37
- Statistical Methods and Bayesian Inference 32
- Infectious Diseases top 0.2%
- HIV/AIDS Research and Interventions 78
- HIV/AIDS drug development and treatment 32
- Epidemiology top 0.5%
- Cervical Cancer and HPV Research 32
- Immunology top 2%
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- HIV-related health complications and treatments 23
- Co-authors
- M. Elizabeth HalloranPeter B. GilbertStephen R. ColeDaniel WestreichRonald J. BoschJennifer S. SmithAngela D. M. KashubaJoseph J. Eron
- Journals
- Biometrics (17 papers)Statistics in Medicine (16 papers)The Journal of Infectious Diseases (14 papers)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Michael G. Hudgens
273 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Virology 2.6k
- Statistics and Probability 1.5k
- Infectious Diseases 3.3k
- Epidemiology 3.0k
- Immunology 1.3k
Countries citing papers authored by Michael G. Hudgens
This map shows the geographic impact of Michael G. Hudgens'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 Michael G. Hudgens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Hudgens more than expected).
Fields of papers citing papers by Michael G. Hudgens
This network shows the impact of papers produced by Michael G. Hudgens. 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 Michael G. Hudgens. The network helps show where Michael G. Hudgens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael G. Hudgens, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 12 | |
| 18 | 2016 | 24 | |
| 19 | 2014 | 87 | |
| 20 | 2012 | 0 |
About Michael G. Hudgens
Michael G. Hudgens is a scholar working on Virology, Statistics and Probability, Infectious Diseases, Epidemiology and Health, having authored 293 papers that have together received 8.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (82 papers), HIV/AIDS Research and Interventions (78 papers), Advanced Causal Inference Techniques (60 papers), Statistical Methods and Inference (37 papers), Cervical Cancer and HPV Research (32 papers), HIV/AIDS drug development and treatment (32 papers), Statistical Methods and Bayesian Inference (32 papers) and HIV-related health complications and treatments (23 papers). The work is most often cited by research in Virology (2.6k citations), Statistics and Probability (1.5k citations), Infectious Diseases (3.3k citations), Epidemiology (3.0k citations) and Immunology (1.3k citations). Michael G. Hudgens has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include M. Elizabeth Halloran, Peter B. Gilbert, Stephen R. Cole, Daniel Westreich, Ronald J. Bosch, Jennifer S. Smith, Angela D. M. Kashuba, Joseph J. Eron, Douglas D. Richman and David M. Margolis. Their work appears in journals such as Biometrics, Statistics in Medicine, The Journal of Infectious Diseases, AIDS and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.