Sandra Sitar
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
Papers in
-
- Viral Infections and Outbreaks Research 2
- Viral Infections and Vectors 2
- SARS-CoV-2 and COVID-19 Research 1
-
- Influenza Virus Research Studies 2
- Respiratory viral infections research 2
- Co-authors
- Barney S. Graham (4 shared papers)John R. Mascola (4 shared papers)Karin Bok (1 shared paper)Julie E. Ledgerwood (4 shared papers)Zonghui Hu (3 shared papers)Gary J. Nabel (3 shared papers)Richard A. Koup (3 shared papers)Mary E. Enama (3 shared papers)
- Journals
- Travel Medicine and Infectious Disease (1 paper)The Journal of Infectious Diseases (1 paper)PLoS ONE (1 paper)Immunity (1 paper)The Lancet (1 paper)
- Partner nations
- United States
In The Last Decade
Sandra Sitar
5 papers receiving 461 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 328
- Modeling and Simulation 39
- Health 60
- Public Health, Environmental and Occupational Health 161
- Virology 23
Countries citing papers authored by Sandra Sitar
This map shows the geographic impact of Sandra Sitar'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 Sandra Sitar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Sitar more than expected).
Fields of papers citing papers by Sandra Sitar
This network shows the impact of papers produced by Sandra Sitar. 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 Sandra Sitar. The network helps show where Sandra Sitar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Sitar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 182 | |
| 2 | 2021 | 176 | |
| 3 | 2013 | 93 | |
| 4 | 2015 | 20 | |
| 5 | 2010 | 12 |
About Sandra Sitar
Sandra Sitar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Health and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 483 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Respiratory viral infections research (2 papers), Viral Infections and Vectors (2 papers), Disaster Response and Management (1 paper), Malaria Research and Control (1 paper), vaccines and immunoinformatics approaches (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (328 citations), Modeling and Simulation (39 citations), Health (60 citations), Public Health, Environmental and Occupational Health (161 citations) and Virology (23 citations). Sandra Sitar has collaborated with scholars based in United States. Frequent co-authors include Barney S. Graham, John R. Mascola, Karin Bok, Julie E. Ledgerwood, Zonghui Hu, Gary J. Nabel, Richard A. Koup, Mary E. Enama, Robert T. Bailer and Lee-Jah Chang. Their work appears in journals such as Travel Medicine and Infectious Disease, The Journal of Infectious Diseases, PLoS ONE, Immunity and The Lancet.
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.