Virginia Dato
- Epidemiology top 5%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Food Science top 5%
- Co-authors
- Michael M. WagnerAdnan S. DajaniJeremy U. EspinoPer H. GestelandFuchiang TsuiChuen‐Chau ChangRichard A. CaruanaKathleen A. Alexander
- Topics
- Bacillus and Francisella bacterial research (6 papers)Rabies epidemiology and control (6 papers)Data-Driven Disease Surveillance (6 papers)
- Partner nations
- United StatesSaint Kitts and Nevis
In The Last Decade
Virginia Dato
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Epidemiology 557
- Infectious Diseases 527
- Public Health, Environmental and Occupational Health 244
- Molecular Biology 202
- Food Science 185
Countries citing papers authored by Virginia Dato
This map shows the geographic impact of Virginia Dato'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 Virginia Dato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Dato more than expected).
Fields of papers citing papers by Virginia Dato
This network shows the impact of papers produced by Virginia Dato. 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 Virginia Dato. The network helps show where Virginia Dato may publish in the future.
Co-authorship network of co-authors of Virginia Dato
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Dato. A scholar is included among the top collaborators of Virginia Dato 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 Virginia Dato. Virginia Dato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 74 | |
| 5 | Notes from the field: malaria imported from West Africa by flight crews - Florida and Pennsylvania, 2010. | 3 |
| 6 | Human vaccinia infection after contact with a raccoon rabies vaccine bait - Pennsylvania, 2009. | 45 |
| 7 | 1 | |
| 8 | 38 | |
| 9 | 192 | |
| 10 | 13 | |
| 11 | 188 | |
| 12 | Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games. | 28 |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | Value of ICD-9 coded chief complaints for detection of epidemics. | 70 |
| 17 | 160 | |
| 18 | 7 | |
| 19 | 52 | |
| 20 | 130 |
About Virginia Dato
Virginia Dato is a scholar working on Virology, Parasitology and Modeling and Simulation, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (6 papers), Rabies epidemiology and control (6 papers) and Data-Driven Disease Surveillance (6 papers). The work is most often cited by research in Modeling and Simulation (150 citations), Infectious Diseases (527 citations) and Virology (129 citations). Virginia Dato has collaborated with scholars based in United States and Saint Kitts and Nevis. Frequent co-authors include Michael M. Wagner, Adnan S. Dajani, Jeremy U. Espino, Per H. Gesteland, Fuchiang Tsui, Chuen‐Chau Chang, Richard A. Caruana, Kathleen A. Alexander, Ian T. Williams and Bryan Lewis. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and PEDIATRICS.
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.