Mona Marin
- Infectious Diseases top 2%
- Health top 1%
- Modeling and Simulation top 1%
- Obstetrics and Gynecology top 5%
- Epidemiology
- Co-authors
- H. Keipp TalbotNancy McClungMary E. ChamberlandGrace M. LeeSara E. OliverMegan WallaceJosé R. RomeroKathleen Dooling
- Topics
- Vaccine Coverage and Hesitancy (8 papers)SARS-CoV-2 and COVID-19 Research (5 papers)Virology and Viral Diseases (2 papers)
- Journals
- MMWR Morbidity and Mortality Weekly ReportPubMed
- Partner nations
- Spain
In The Last Decade
Mona Marin
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 658
- Health 539
- Modeling and Simulation 235
- Obstetrics and Gynecology 134
- Epidemiology 114
Countries citing papers authored by Mona Marin
This map shows the geographic impact of Mona Marin'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 Mona Marin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Marin more than expected).
Fields of papers citing papers by Mona Marin
This network shows the impact of papers produced by Mona Marin. 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 Mona Marin. The network helps show where Mona Marin may publish in the future.
Co-authorship network of co-authors of Mona Marin
This figure shows the co-authorship network connecting the top 25 collaborators of Mona Marin. A scholar is included among the top collaborators of Mona Marin 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 Mona Marin. Mona Marin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 278 | |
| 2 | The Advisory Committee on Immunization Practices’ interim recommendation for use of Pfizer-BioNTech COVID-19 Vaccine — United States, December 2020 school year | 1 |
| 3 | 222 | |
| 4 | The Advisory Committee on Immunization Practices’ Interim Recommendation for Use of Pfizer-BioNTech COVID-19 Vaccine — United States, December 2020breakdown → | 394 |
| 5 | 222 | |
| 6 | Current mumps vaccination recommendations and epidemiology in the United States | 1 |
| 7 | Update on mumps epidemiology in the United States, 2017 and review of studies of 3rd dose of MMR vaccine | 1 |
| 8 | [Child vaccination: the coverage, knowledge and attitudes of the population. A study in a health area]. | 4 |
About Mona Marin
Mona Marin is a scholar working on Health, Infectious Diseases and Modeling and Simulation, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Health (539 citations), Modeling and Simulation (235 citations) and Infectious Diseases (658 citations). Mona Marin has collaborated with scholars based in Spain. Frequent co-authors include H. Keipp Talbot, Nancy McClung, Mary E. Chamberland, Grace M. Lee, Sara E. Oliver, Megan Wallace, José R. Romero, Kathleen Dooling, Beth P. Bell and Sarah Mbaeyi. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report and PubMed.
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.