Nicole E. Basta
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Health top 1%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 25
- Influenza Virus Research Studies 14
- Cervical Cancer and HPV Research 5
- Pneumonia and Respiratory Infections 4
- Health 13
- Vaccine Coverage and Hesitancy 13
- Co-authors
- Ira M. Longini (5 shared papers)M. Elizabeth Halloran (5 shared papers)Dennis L. Chao (3 shared papers)Jonathan D. Sugimoto (2 shared papers)Gail E. Potter (1 shared paper)Laura Matrajt (1 shared paper)Eben Kenah (1 shared paper)Yang Yang (1 shared paper)
- Journals
- Vaccine (12 papers)PLoS ONE (8 papers)American Journal of Epidemiology (5 papers)Tropical Medicine & International Health (3 papers)CMAJ Open (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nicole E. Basta
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 446
- Health 361
- Infectious Diseases 477
- Epidemiology 779
- Microbiology 144
Countries citing papers authored by Nicole E. Basta
This map shows the geographic impact of Nicole E. Basta'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 Nicole E. Basta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole E. Basta more than expected).
Fields of papers citing papers by Nicole E. Basta
This network shows the impact of papers produced by Nicole E. Basta. 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 Nicole E. Basta. The network helps show where Nicole E. Basta may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicole E. Basta, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 443 | |
| 2 | 2016 | 175 | |
| 3 | 2009 | 126 | |
| 4 | 2020 | 92 | |
| 5 | 2007 | 91 | |
| 6 | 2016 | 68 | |
| 7 | 2008 | 62 | |
| 8 | 2016 | 60 | |
| 9 | 2020 | 56 | |
| 10 | 2017 | 48 | |
| 11 | 2014 | 48 | |
| 12 | 2018 | 46 | |
| 13 | 2021 | 42 | |
| 14 | 2019 | 39 | |
| 15 | 2009 | 35 | |
| 16 | 2018 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2018 | 29 | |
| 19 | 2023 | 27 | |
| 20 | 2022 | 26 |
About Nicole E. Basta
Nicole E. Basta is a scholar working on Epidemiology, Health, Infectious Diseases, Modeling and Simulation and Microbiology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Vaccine Coverage and Hesitancy (13 papers), COVID-19 epidemiological studies (10 papers), Bacterial Infections and Vaccines (9 papers), Cervical Cancer and HPV Research (5 papers), COVID-19 and Mental Health (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Modeling and Simulation (446 citations), Health (361 citations), Infectious Diseases (477 citations), Epidemiology (779 citations) and Microbiology (144 citations). Nicole E. Basta has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ira M. Longini, M. Elizabeth Halloran, Dennis L. Chao, Jonathan D. Sugimoto, Gail E. Potter, Laura Matrajt, Eben Kenah, Yang Yang, Bryan T. Grenfell and Justin Lessler. Their work appears in journals such as Vaccine, PLoS ONE, American Journal of Epidemiology, Tropical Medicine & International Health and CMAJ Open.
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.