Judith C. Maro

1.2k total citations
65 papers, 777 citations indexed

About

Judith C. Maro is a scholar working on Statistics and Probability, Toxicology and Epidemiology. According to data from OpenAlex, Judith C. Maro has authored 65 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 16 papers in Toxicology and 14 papers in Epidemiology. Recurrent topics in Judith C. Maro's work include Statistical Methods in Clinical Trials (20 papers), Pharmacovigilance and Adverse Drug Reactions (16 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). Judith C. Maro is often cited by papers focused on Statistical Methods in Clinical Trials (20 papers), Pharmacovigilance and Adverse Drug Reactions (16 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). Judith C. Maro collaborates with scholars based in United States, Canada and United Kingdom. Judith C. Maro's co-authors include Martin Kulldorff, Michael Nguyen, Jeffrey S. Brown, Inna Dashevsky, W. Katherine Yih, Robert Ball, Sengwee Toh, Susan Gruber, Kenneth H. Mayer and Ira B. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Judith C. Maro

58 papers receiving 761 citations

Peers

Judith C. Maro
Inna Dashevsky United States
Louisa Walsh Australia
Vinit Nair United States
Azadeh Shoaibi United States
Xiaofeng Zhou United States
Mees Mosseveld Netherlands
Nawar Diar Bakerly United Kingdom
Nandini Selvam United States
Ola Caster Sweden
Dalia Dawoud United Kingdom
Inna Dashevsky United States
Judith C. Maro
Citations per year, relative to Judith C. Maro Judith C. Maro (= 1×) peers Inna Dashevsky

Countries citing papers authored by Judith C. Maro

Since Specialization
Citations

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

Fields of papers citing papers by Judith C. Maro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith C. Maro. 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 Judith C. Maro. The network helps show where Judith C. Maro may publish in the future.

Co-authorship network of co-authors of Judith C. Maro

This figure shows the co-authorship network connecting the top 25 collaborators of Judith C. Maro. A scholar is included among the top collaborators of Judith C. Maro 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 Judith C. Maro. Judith C. Maro 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.
2.
Yih, W. Katherine, Jonathan Duffy, John R. Su, et al.. (2024). Tinnitus after COVID-19 vaccination: Findings from the vaccine adverse event reporting system and the vaccine safety datalink. American Journal of Otolaryngology. 45(6). 104448–104448. 1 indexed citations
3.
Horgan, Casie, Efe Eworuke, Jennifer G. Lyons, et al.. (2024). Identifying pediatric hypertension in observational data: comparing clinical and claims cohorts in real-world data. American Journal of Epidemiology. 194(2). 407–419. 1 indexed citations
4.
Maro, Judith C., Shirley Wang, Sengwee Toh, et al.. (2024). Tree-based scan statistics to generate drug repurposing hypotheses: a test case using sodium-glucose cotransporter-2 inhibitors. American Journal of Epidemiology. 194(7). 1999–2011.
5.
Zou, Guangyong, Laura Hou, Andrew B. Petrone, et al.. (2024). A simple Cox approach to estimating risk ratios without sharing individual-level data in multisite studies. American Journal of Epidemiology. 194(1). 226–232.
6.
Winterstein, Almut G., Yanning Wang, Leila G. Lackey, et al.. (2024). Teratogenic Risk Impact and Mitigation (TRIM): Study Protocol for the Development of a Decision Support Tool to Prioritize Medications for Risk Mitigation. Drug Safety. 48(2). 107–117.
7.
Marsolo, Keith, Lesley H. Curtis, Laura G. Qualls, et al.. (2024). Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance. Learning Health Systems. 9(2). e10468–e10468.
8.
Lyons, Jennifer G., Mayura Shinde, Judith C. Maro, et al.. (2024). Use of the Sentinel System to Examine Medical Product Use and Outcomes During Pregnancy. Drug Safety. 47(10). 931–940. 2 indexed citations
9.
Eworuke, Efe, Mayura Shinde, Laura Hou, et al.. (2023). Valsartan, Losartan and Irbesartan use in the USA, UK, Canada and Denmark after the nitrosamine recalls: a descriptive cohort study. BMJ Open. 13(4). e070985–e070985. 13 indexed citations
10.
Davis, Sharon E., Luke E. Zabotka, Rishi Desai, et al.. (2023). Use of Electronic Health Record Data for Drug Safety Signal Identification: A Scoping Review. Drug Safety. 46(8). 725–742. 17 indexed citations
11.
Yih, W. Katherine, Matthew F. Daley, Jonathan Duffy, et al.. (2023). Safety signal identification for COVID-19 bivalent booster vaccination using tree-based scan statistics in the Vaccine Safety Datalink. Vaccine. 41(36). 5265–5270. 3 indexed citations
12.
Yih, W. Katherine, Matthew F. Daley, Jonathan Duffy, et al.. (2022). A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink. Vaccine. 41(3). 826–835. 10 indexed citations
13.
Yih, W. Katherine, Matthew F. Daley, Jonathan Duffy, et al.. (2022). Tree-based data mining for safety assessment of first COVID-19 booster doses in the Vaccine Safety Datalink. Vaccine. 41(2). 460–466. 2 indexed citations
14.
Re, Vincent Lo, Dena M. Carbonari, Jerry Jacob, et al.. (2021). Validity of ICD‐10‐CM diagnoses to identify hospitalizations for serious infections among patients treated with biologic therapies. Pharmacoepidemiology and Drug Safety. 30(7). 899–909. 18 indexed citations
15.
Eworuke, Efe, et al.. (2019). Use of FDA’s Sentinel System to Quantify Seizure Risk Immediately Following New Ranolazine Exposure. Drug Safety. 42(7). 897–906. 6 indexed citations
16.
17.
Connolly, John G., Shirley Wang, Candace C. Fuller, et al.. (2017). Development and Application of Two Semi-Automated Tools for Targeted Medical Product Surveillance in a Distributed Data Network. Current Epidemiology Reports. 4(4). 298–306. 13 indexed citations
18.
Nelson, Jennifer C., Robert Wellman, Onchee Yu, et al.. (2016). A Synthesis of Current Surveillance Planning Methods for the Sequential Monitoring of Drug and Vaccine Adverse Effects Using Electronic Health Care Data. SHILAP Revista de lepidopterología. 4(1). 17–17. 7 indexed citations
19.
Maro, Judith C., Dennis G. Fryback, Tracy A. Lieu, Grace M. Lee, & David Martin. (2014). Responding to Vaccine Safety Signals during Pandemic Influenza: A Modeling Study. PLoS ONE. 9(12). e115553–e115553. 8 indexed citations
20.
Maro, Judith C., Jeffrey S. Brown, & Martin Kulldorff. (2013). Medical Product Safety Surveillance. Epidemiology. 24(5). 692–699. 7 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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