Ann Moen
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in ⓘ
-
- COVID-19 epidemiological studies 15
- Health 11
- Vaccine Coverage and Hesitancy 11
- Co-authors
- Joseph Bresee (13 shared papers)Shobha Broor (3 shared papers)Mandeep Chadha (2 shared papers)Anand Krishnan (2 shared papers)Erin Sparrow (2 shared papers)Akhilesh C. Mishra (2 shared papers)Renu B. Lal (2 shared papers)Guido Torelli (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (10 papers)Vaccine (9 papers)Emerging infectious diseases (3 papers)JMIR Public Health and Surveillance (2 papers)BMC Health Services Research (2 papers)
- Partner nations
- United StatesSwitzerlandLaos
In The Last Decade
Ann Moen
45 papers receiving 683 citations
Peers
Comparison fields: 5 of 77
- Modeling and Simulation 163
- Epidemiology 555
- Health 124
- Infectious Diseases 227
- Agronomy and Crop Science 59
Countries citing papers authored by Ann Moen
This map shows the geographic impact of Ann Moen'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 Ann Moen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Moen more than expected).
Fields of papers citing papers by Ann Moen
This network shows the impact of papers produced by Ann Moen. 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 Ann Moen. The network helps show where Ann Moen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Moen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 65 | |
| 2 | 2020 | 64 | |
| 3 | 2011 | 55 | |
| 4 | 2021 | 40 | |
| 5 | 2016 | 37 | |
| 6 | 2017 | 33 | |
| 7 | 2016 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 26 | |
| 11 | 2016 | 25 | |
| 12 | 2019 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2021 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2012 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2016 | 14 | |
| 20 | 2017 | 12 |
About Ann Moen
Ann Moen is a scholar working on Modeling and Simulation, Health, Epidemiology, Infectious Diseases and Obstetrics and Gynecology, having authored 48 papers that have together received 715 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (40 papers), Respiratory viral infections research (18 papers), COVID-19 epidemiological studies (15 papers), Vaccine Coverage and Hesitancy (11 papers), Viral Infections and Outbreaks Research (11 papers), Travel-related health issues (4 papers), Viral Infections and Vectors (4 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Modeling and Simulation (163 citations), Epidemiology (555 citations), Health (124 citations), Infectious Diseases (227 citations) and Agronomy and Crop Science (59 citations). Ann Moen has collaborated with scholars based in United States, Switzerland and Laos. Frequent co-authors include Joseph Bresee, Shobha Broor, Mandeep Chadha, Anand Krishnan, Erin Sparrow, Akhilesh C. Mishra, Renu B. Lal, Guido Torelli, James Wood and Siranda Torvaldsen. Their work appears in journals such as Influenza and Other Respiratory Viruses, Vaccine, Emerging infectious diseases, JMIR Public Health and Surveillance and BMC Health Services Research.
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.