Andrew T. Pavia
- Epidemiology top 0.1%
- Infectious Diseases top 0.2%
- Pulmonary and Respiratory Medicine top 2%
- Public Health, Environmental and Occupational Health top 2%
- Microbiology top 0.5%
- Co-authors
- Carrie L. ByingtonJudy A. DalyKrow AmpofoAdam L. HershDaniel J. ShapiroKent KorgenskiFrederick G. HaydenLauri A. Hicks
- Topics
- Pneumonia and Respiratory Infections (77 papers)Respiratory viral infections research (67 papers)Influenza Virus Research Studies (39 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesCanadaBangladesh
In The Last Decade
Andrew T. Pavia
200 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Epidemiology 6.2k
- Infectious Diseases 2.9k
- Pulmonary and Respiratory Medicine 1.4k
- Public Health, Environmental and Occupational Health 960
- Microbiology 858
Countries citing papers authored by Andrew T. Pavia
This map shows the geographic impact of Andrew T. Pavia'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 Andrew T. Pavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Pavia more than expected).
Fields of papers citing papers by Andrew T. Pavia
This network shows the impact of papers produced by Andrew T. Pavia. 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 Andrew T. Pavia. The network helps show where Andrew T. Pavia may publish in the future.
Co-authorship network of co-authors of Andrew T. Pavia
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Pavia. A scholar is included among the top collaborators of Andrew T. Pavia 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 Andrew T. Pavia. Andrew T. Pavia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 18 | |
| 10 | IVIG Patterns Among Pediatric Patients With Neo-plasms Admitted to US Pediatric Hospitals | 1 |
| 11 | 58 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 45 | |
| 15 | 49 | |
| 16 | 18 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 21 | |
| 20 | Computerized detection of nosocomial infections in newborns. | 11 |
About Andrew T. Pavia
Andrew T. Pavia is a scholar working on Applied Microbiology and Biotechnology, Epidemiology and Infectious Diseases, having authored 208 papers that have together received 10.0k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (77 papers), Respiratory viral infections research (67 papers) and Influenza Virus Research Studies (39 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (782 citations), Epidemiology (6.2k citations) and Infectious Diseases (2.9k citations). Andrew T. Pavia has collaborated with scholars based in United States, Canada and Bangladesh. Frequent co-authors include Carrie L. Byington, Judy A. Daly, Krow Ampofo, Adam L. Hersh, Daniel J. Shapiro, Kent Korgenski, Frederick G. Hayden, Lauri A. Hicks, Edward O. Mason and Chris Stockmann. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.