Ann Levin
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
- Health 25
- Vaccine Coverage and Hesitancy 25
- Epidemiology 14
- Cervical Cancer and HPV Research 5
- Influenza Virus Research Studies 4
- Co-authors
- Miloud Kaddar (3 shared papers)Raymond Hutubessy (11 shared papers)Joseph B. Babigumira (3 shared papers)Susan A. Wang (2 shared papers)Carol Levin (2 shared papers)Vivien Tsu (1 shared paper)Colleen Burgess (5 shared papers)Brian Maskery (4 shared papers)
- Journals
- Vaccine (8 papers)PLoS ONE (5 papers)The International Journal of Health Planning and Management (4 papers)BMC Medicine (4 papers)The Journal of Infectious Diseases (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ann Levin
44 papers receiving 778 citations
Peers
Comparison fields: 5 of 101
- Health 323
- Modeling and Simulation 95
- Endocrinology 83
- Pediatrics, Perinatology and Child Health 247
- Infectious Diseases 167
Countries citing papers authored by Ann Levin
This map shows the geographic impact of Ann Levin'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 Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Levin more than expected).
Fields of papers citing papers by Ann Levin
This network shows the impact of papers produced by Ann Levin. 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 Levin. The network helps show where Ann Levin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Levin, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 70 | |
| 2 | 2003 | 67 | |
| 3 | 2011 | 63 | |
| 4 | 2011 | 59 | |
| 5 | 2013 | 54 | |
| 6 | 2012 | 48 | |
| 7 | 2015 | 33 | |
| 8 | 2008 | 31 | |
| 9 | 2013 | 27 | |
| 10 | 1995 | 27 | |
| 11 | 2001 | 26 | |
| 12 | 2013 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2020 | 20 | |
| 15 | 2011 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2013 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 1999 | 15 | |
| 20 | 2022 | 14 |
About Ann Levin
Ann Levin is a scholar working on Health, Epidemiology, Pediatrics, Perinatology and Child Health, Modeling and Simulation and Nutrition and Dietetics, having authored 46 papers that have together received 819 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (25 papers), Global Maternal and Child Health (13 papers), COVID-19 epidemiological studies (11 papers), Child Nutrition and Water Access (7 papers), Vibrio bacteria research studies (6 papers), Cervical Cancer and HPV Research (5 papers), Healthcare Systems and Reforms (5 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Health (323 citations), Modeling and Simulation (95 citations), Endocrinology (83 citations), Pediatrics, Perinatology and Child Health (247 citations) and Infectious Diseases (167 citations). Ann Levin has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Miloud Kaddar, Raymond Hutubessy, Joseph B. Babigumira, Susan A. Wang, Carol Levin, Vivien Tsu, Colleen Burgess, Brian Maskery, Young‐Eun Kim and Vittal Mogasale. Their work appears in journals such as Vaccine, PLoS ONE, The International Journal of Health Planning and Management, BMC Medicine and The Journal of 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.