Maya Petersen

5.0k citations

75 papers · 2.7k indexed · h-index 28

Impact in

Virology top 2%
- HIV Research and Treatment
Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment

Papers in ⓘ

Infectious Diseases 44
- HIV/AIDS Research and Interventions 28
- HIV/AIDS drug development and treatment 8
Epidemiology 22
- HIV, Drug Use, Sexual Risk 13

Co-authors: Mark J. van der Laan (14 shared papers)Mark van der Laan (8 shared papers)Romain Pirracchio (2 shared papers)Erin LeDell (3 shared papers)Diane V. Havlir (32 shared papers)Sylvie Chevret (1 shared paper)Marco Carone (1 shared paper)Matthieu Resche‐Rigon (1 shared paper)
Journals: AIDS (7 papers)American Journal of Epidemiology (6 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (5 papers)Journal of the International AIDS Society (5 papers)Clinical Infectious Diseases (4 papers)
Partner nations: United States Kenya Uganda

In The Last Decade

Maya Petersen

68 papers receiving 2.6k citations

Peers

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-authors

The 25 scholars most cited alongside Maya Petersen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Petersen Line = papers co-authored together Maya Petersen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study The Lancet Respiratory Medicine ·Romain Pirracchio, Maya Petersen, Marco Carone, Matthieu Resche‐Rigon, Sylvie Chevret, Mark J. van der Laan	2014	251
2	Retention in Care among HIV-Infected Patients in Resource-Limited Settings: Emerging Insights and New Directions Current HIV/AIDS Reports ·Elvin Geng, Denis Nash, Andrew Kambugu, Yao Zhang, Paula Braitstein, Katerina Christopoulos, Winnie Muyindike, Mwebesa Bwana, Constantin T. Yiannoutsos, Maya Petersen, Jeffrey N. Martin	2010	226
3	Spatiotemporal Prediction of Fine Particulate Matter During the 2008 Northern California Wildfires Using Machine Learning Environmental Science & Technology ·Colleen E. Reid, Michael Jerrett, Maya Petersen, Gabriele Pfister, Philip E. Morefield, Ira B. Tager, Sean Raffuse, John R. Balmes	2015	207
4	Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates Electronic Journal of Statistics ·Erin LeDell, Maya Petersen, Mark van der Laan	2015	163
5	Causal Models and Learning from Data Epidemiology ·Maya Petersen, Mark J. van der Laan	2014	139
6	Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study BMJ ·Joseph A. Lewnard, Vincent X. Liu, Michael L. Jackson, Mark A. Schmidt, Britta L. Jewell, Jean P. Flores, Chris Jentz, Graham R. Northrup, Ayesha S. Mahmud, Arthur Reingold, Maya Petersen, Nicholas P. Jewell, Scott Young, Jim Bellows	2020	123
7	Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner American Journal of Epidemiology ·Romain Pirracchio, Maya Petersen, Mark van der Laan	2014	122
8	Pillbox Organizers are Associated with Improved Adherence to HIV Antiretroviral Therapy and Viral Suppression: a Marginal Structural Model Analysis Clinical Infectious Diseases ·Maya Petersen, Y. Wang, Mark J. van der Laan, David Guzman, Elise D. Riley, David R. Bangsberg	2007	116
9	Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification AIDS ·Maya Petersen, Mark J. van der Laan, Sonia Napravnik, Joseph J. Eron, Richard D. Moore, Steven G. Deeks	2008	110
10	Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models SHILAP Revista de lepidopterología ·Maya Petersen, Joshua Schwab, Susan Gruber, Nello Blaser, Michael Schomaker, Mark van der Laan	2014	101
11	Delayed switch of antiretroviral therapy after virologic failure associated with elevated mortality among HIV-infected adults in Africa AIDS ·Maya Petersen, Linh Tran, Elvin Geng, Steven J. Reynolds, Andrew Kambugu, Robin Wood, David R. Bangsberg, Constantin T. Yiannoutsos, Steven G. Deeks, Jeffrey N. Martin	2014	76
12	What do the Universal Test and Treat trials tell us about the path to HIV epidemic control? Journal of the International AIDS Society ·Diane V. Havlir, Shahin Lockman, Helen Ayles, Joseph Larmarange, Gabriel Chamie, Tendani Gaolathe, Collins Iwuji, Sarah Fidler, Moses R. Kamya, Sian Floyd, Janet Moore, Richard Hayes, Maya Petersen, François Dabis	2020	75
13	Divalproex Sodium for the Treatment of Conduct Disorder The Journal of Clinical Psychiatry ·Hans Steiner, Maya Petersen, Kirti Saxena, Sekou Ford, Zakee Matthews	2003	73
14	Field Performance and Public Health Response Using the BinaxNOWTM Rapid Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antigen Detection Assay During Community-Based Testing Clinical Infectious Diseases ·Genay Pilarowski, Carina Marquez, Luis Rubio, James Peng, Jackie Martinez, Douglas Black, Gabriel Chamie, Diane Jones, Jon Jacobo, Valerie Tulier-Laiwa, Susana Rojas, Susy Rojas, Chesa Cox, Robert M. Nakamura, Maya Petersen, Joseph L. DeRisi, Diane V. Havlir	2020	53
15	History-adjusted Marginal Structural Models for Estimating Time-varying Effect Modification American Journal of Epidemiology ·Maya Petersen, Steven G. Deeks, Jeffery N Martin, Mark J. van der Laan	2007	51
16	High rates of viral suppression in adults and children with high CD4+ counts using a streamlined ART delivery model in the SEARCH trial in rural Uganda and Kenya Journal of the International AIDS Society ·Dalsone Kwarisiima, Moses R. Kamya, Asiphas Owaraganise, Florence Mwangwa, Dathan M. Byonanebye, James Ayieko, Albert Plenty, Doug Black, Tamara D. Clark, Bridget Nzarubara, Katherine Snyman, Lillian B. Brown, Elizabeth A. Bukusi, Craig R. Cohen, Elvin Geng, Edwin D. Charlebois, Theodore Ruel, Maya Petersen, Diane V. Havlir, Vivek Jain	2017	50
17	AUC-Maximizing Ensembles through Metalearning The International Journal of Biostatistics ·Erin LeDell, Mark J. van der Laan, Maya Petersen	2016	47
18	Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring JAIDS Journal of Acquired Immune Deficiency Syndromes ·Maya Petersen, Erin LeDell, Joshua Schwab, Varada Sarovar, Robert Gross, Nancy R. Reynolds, Jessica E. Haberer, Kathy Goggin, Carol E. Golin, Julia H. Arnsten, Marc I. Rosen, Robert H. Remien, David Etoori, Ira B. Wilson, Jane M. Simoni, Judith A. Erlen, Mark J. van der Laan, Honghu Liu, David R. Bangsberg	2015	42
19	Taking Vaccine to Where the Virus Is—Equity and Effectiveness in Coronavirus Vaccinations JAMA Health Forum ·Kirsten Bibbins‐Domingo, Maya Petersen, Diane V. Havlir	2021	41
20	Evaluation of a novel community-based COVID-19 ‘Test-to-Care’ model for low-income populations PLoS ONE ·Andrew D. Kerkhoff, Darpun Sachdev, Sara Mizany, Susy Rojas, Monica Gandhi, James Peng, Douglas Black, Diane Jones, Susana Rojas, Jon Jacobo, Valerie Tulier-Laiwa, Maya Petersen, Jackie Martinez, Gabriel Chamie, Diane V. Havlir, Carina Marquez	2020	39

About Maya Petersen

Maya Petersen is a scholar working on Infectious Diseases, Epidemiology, Statistics and Probability, Virology and Modeling and Simulation, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (28 papers), HIV Research and Treatment (16 papers), Advanced Causal Inference Techniques (14 papers), HIV, Drug Use, Sexual Risk (13 papers), Statistical Methods and Inference (9 papers), COVID-19 epidemiological studies (8 papers), HIV/AIDS drug development and treatment (8 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Virology (400 citations), Infectious Diseases (1.1k citations), Statistics and Probability (410 citations), Health Informatics (37 citations) and Modeling and Simulation (126 citations). Maya Petersen has collaborated with scholars based in United States, Kenya and Uganda. Frequent co-authors include Mark J. van der Laan, Mark van der Laan, Romain Pirracchio, Erin LeDell, Diane V. Havlir, Sylvie Chevret, Marco Carone, Matthieu Resche‐Rigon, Elvin Geng and Steven G. Deeks. Their work appears in journals such as AIDS, American Journal of Epidemiology, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of the International AIDS Society and Clinical Infectious Diseases.

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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