Maya Petersen

5.0k total citations
75 papers, 2.7k citations indexed

About

Maya Petersen is a scholar working on Infectious Diseases, Epidemiology and Statistics and Probability. According to data from OpenAlex, Maya Petersen has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 22 papers in Epidemiology and 18 papers in Statistics and Probability. Recurrent topics in Maya Petersen's work include HIV/AIDS Research and Interventions (28 papers), HIV Research and Treatment (16 papers) and Advanced Causal Inference Techniques (14 papers). Maya Petersen is often cited by papers focused on HIV/AIDS Research and Interventions (28 papers), HIV Research and Treatment (16 papers) and Advanced Causal Inference Techniques (14 papers). Maya Petersen collaborates with scholars based in United States, Kenya and Uganda. Maya Petersen's co-authors include Mark J. van der Laan, Mark van der Laan, Romain Pirracchio, Erin LeDell, Diane V. Havlir, Marco Carone, Sylvie Chevret, Matthieu Resche‐Rigon, Elvin Geng and Steven G. Deeks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Maya Petersen

68 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Petersen United States 28 1.1k 639 410 400 337 75 2.7k
Holly Janes United States 29 854 0.8× 900 1.4× 607 1.5× 959 2.4× 302 0.9× 100 5.4k
Maya L. Petersen United States 33 1.5k 1.3× 997 1.6× 949 2.3× 349 0.9× 740 2.2× 118 3.6k
Brent A. Johnson United States 31 444 0.4× 359 0.6× 350 0.9× 230 0.6× 351 1.0× 126 3.0k
Michael Schomaker South Africa 25 1.2k 1.1× 697 1.1× 312 0.8× 503 1.3× 365 1.1× 76 2.5k
Laura B. Balzer United States 20 645 0.6× 450 0.7× 206 0.5× 144 0.4× 305 0.9× 91 1.6k
Jessie K. Edwards United States 28 831 0.7× 594 0.9× 742 1.8× 174 0.4× 589 1.7× 204 2.9k
Yijian Huang United States 33 935 0.8× 907 1.4× 938 2.3× 261 0.7× 589 1.7× 163 4.2k
Arul Earnest Australia 41 1.2k 1.1× 997 1.6× 50 0.1× 136 0.3× 568 1.7× 261 6.3k
Bryan Lau United States 33 1.9k 1.7× 1.6k 2.4× 231 0.6× 772 1.9× 475 1.4× 131 4.0k
Eric Tchetgen Tchetgen United States 21 411 0.4× 473 0.7× 576 1.4× 99 0.2× 231 0.7× 69 2.4k

Countries citing papers authored by Maya Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Maya Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Petersen. 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 Maya Petersen. The network helps show where Maya Petersen may publish in the future.

Co-authorship network of co-authors of Maya Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Petersen. A scholar is included among the top collaborators of Maya Petersen 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 Maya Petersen. Maya Petersen 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.
León, Tomás M., Lauren A. White, Hilary Spindler, et al.. (2025). Fostering public health and academic partnerships during and beyond a public health emergency: lessons learned from COVID-19. American Journal of Epidemiology. 194(6). 1482–1484.
2.
Hickey, Matthew D., Asiphas Owaraganise, Norton Sang, et al.. (2025). Community health worker–facilitated telehealth for moderate–severe hypertension care in Kenya and Uganda: A randomized controlled trial. PLoS Medicine. 22(6). e1004632–e1004632.
3.
Nance, Nerissa, Maya Petersen, Mark van der Laan, & Laura B. Balzer. (2024). The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-data Applications. Epidemiology. 35(6). 791–800. 1 indexed citations
4.
Mwangwa, Florence, Gabriel Chamie, Laura B. Balzer, et al.. (2023). Effect of a brief alcohol counselling intervention on HIV viral suppression and alcohol use among persons with HIV and unhealthy alcohol use in Uganda and Kenya: a randomized controlled trial. Journal of the International AIDS Society. 26(12). e26187–e26187. 4 indexed citations
5.
Laurie, Matthew T., Jamin Liu, Sara Sunshine, et al.. (2022). SARS-CoV-2 Variant Exposures Elicit Antibody Responses With Differential Cross-Neutralization of Established and Emerging Strains Including Delta and Omicron. The Journal of Infectious Diseases. 225(11). 1909–1914. 29 indexed citations
6.
Acharya, Charlotte B., Anthea Mitchell, David A. Coil, et al.. (2022). Viral Load Among Vaccinated and Unvaccinated, Asymptomatic and Symptomatic Persons Infected With the SARS-CoV-2 Delta Variant. Open Forum Infectious Diseases. 9(5). ofac135–ofac135. 39 indexed citations
7.
8.
Laan, Mark J. van der, et al.. (2022). The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions. The International Journal of Biostatistics. 19(1). 217–238. 10 indexed citations
9.
Jewell, Britta L., Laura B. Balzer, Tamara D. Clark, et al.. (2021). Predicting HIV Incidence in the SEARCH Trial: A Mathematical Modeling Study. JAIDS Journal of Acquired Immune Deficiency Syndromes. 87(4). 1024–1031. 5 indexed citations
10.
Balzer, Laura B., Mark van der Laan, James Ayieko, et al.. (2021). Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials. Biostatistics. 24(2). 502–517. 27 indexed citations
11.
Packel, Laura, Arthur Reingold, Shelley N. Facente, et al.. (2021). Piloting an integrated SARS-CoV-2 testing and data system for outbreak containment among college students: A prospective cohort study. PLoS ONE. 16(1). e0245765–e0245765. 8 indexed citations
12.
Kerkhoff, Andrew D., Darpun Sachdev, Susy Rojas, et al.. (2020). Evaluation of a novel community-based COVID-19 ‘Test-to-Care’ model for low-income populations. PLoS ONE. 15(10). e0239400–e0239400. 39 indexed citations
13.
Havlir, Diane V., Shahin Lockman, Helen Ayles, et al.. (2020). What do the Universal Test and Treat trials tell us about the path to HIV epidemic control?. Journal of the International AIDS Society. 23(2). e25455–e25455. 75 indexed citations
14.
Zheng, Wenjing, Laura B. Balzer, Mark van der Laan, & Maya Petersen. (2017). Constrained binary classification using ensemble learning: an application to cost‐efficient targeted PrEP strategies. Statistics in Medicine. 37(2). 261–279. 22 indexed citations
15.
LeDell, Erin, Mark J. van der Laan, & Maya Petersen. (2016). AUC-Maximizing Ensembles through Metalearning. The International Journal of Biostatistics. 12(1). 203–218. 47 indexed citations
16.
Balzer, Laura B., Maya Petersen, & Mark J. van der Laan. (2015). Targeted Estimation and Inference for the Sample Average Treatment Effect. Virology. 283(2). 358–73. 3 indexed citations
17.
Pirracchio, Romain, Maya Petersen, & Mark van der Laan. (2014). Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner. American Journal of Epidemiology. 181(2). 108–119. 122 indexed citations
18.
Petersen, Maya & Mark J. van der Laan. (2014). Causal Models and Learning from Data. Epidemiology. 25(3). 418–426. 139 indexed citations
19.
Geng, Elvin & Maya Petersen. (2014). Network meta-analyses: powerful but not without perils. The Lancet HIV. 1(3). e95–e96. 2 indexed citations
20.
Vahidnia, Farnaz, Maya Petersen, Jack T. Stapleton, et al.. (2012). Acquisition of GB Virus Type C and Lower Mortality in Patients With Advanced HIV Disease. Clinical Infectious Diseases. 55(7). 1012–1019. 36 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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