Paul Gargiullo
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Health top 0.5%
- Modeling and Simulation top 0.5%
- Immunology top 5%
- Co-authors
- Kathy HancockVic VeguillaEboneé N. ButlerWeimin ZhongAisha O. JumaanSandra S. ChavesNancy J. CoxJacqueline M. Katz
- Topics
- Influenza Virus Research Studies (28 papers)Respiratory viral infections research (19 papers)Vaccine Coverage and Hesitancy (8 papers)
- Partner nations
- United StatesMongoliaKenya
In The Last Decade
Paul Gargiullo
73 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Epidemiology 3.7k
- Infectious Diseases 1.9k
- Health 782
- Modeling and Simulation 528
- Immunology 499
Countries citing papers authored by Paul Gargiullo
This map shows the geographic impact of Paul Gargiullo'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 Paul Gargiullo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Gargiullo more than expected).
Fields of papers citing papers by Paul Gargiullo
This network shows the impact of papers produced by Paul Gargiullo. 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 Paul Gargiullo. The network helps show where Paul Gargiullo may publish in the future.
Co-authorship network of co-authors of Paul Gargiullo
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Gargiullo. A scholar is included among the top collaborators of Paul Gargiullo 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 Paul Gargiullo. Paul Gargiullo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 48 | |
| 4 | 30 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine. | 409 |
| 9 | Effectiveness of 2008-09 trivalent influenza vaccine against 2009 pandemic influenza A (H1N1) - United States, May-June 2009. | 59 |
| 10 | Monitorización de la invaginación tras la autorización de la vacuna RotaTeq en Estados Unidos, 1-2-2006/25-9-2007 | 1 |
| 11 | 161 | |
| 12 | 92 | |
| 13 | 65 | |
| 14 | 15 | |
| 15 | 58 | |
| 16 | 21 | |
| 17 | oes influenza vaccination exacerbate asthma | 8 |
| 18 | [Reactivation of herpes virus infections by vaccination: evidence or coincidence?]. | 4 |
| 19 | 25 | |
| 20 | 25 |
About Paul Gargiullo
Paul Gargiullo is a scholar working on Epidemiology, Health and Virology, having authored 73 papers that have together received 5.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (28 papers), Respiratory viral infections research (19 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Modeling and Simulation (528 citations), Epidemiology (3.7k citations) and Infectious Diseases (1.9k citations). Paul Gargiullo has collaborated with scholars based in United States, Mongolia and Kenya. Frequent co-authors include Kathy Hancock, Vic Veguilla, Eboneé N. Butler, Weimin Zhong, Aisha O. Jumaan, Sandra S. Chaves, Nancy J. Cox, Jacqueline M. Katz, Libo Dong and Feng Liu. Their work appears in journals such as New England Journal of Medicine, The Lancet and PLoS ONE.
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.