Paul Gargiullo

8.8k citations
73 papers · 5.9k indexed · 2 hit papers · h-index 33

Paul Gargiullo

73 papers receiving 5.7k citations

Hit Papers

Cross-Reactive Antibody Responses to the 2009 Pandemic H1...1.0k20012026200920172505007501000

Peers

Paul Gargiullo
Comparison fields: 5 of 129
  • Modeling and Simulation 528
  • Epidemiology 3.7k
  • Infectious Diseases 1.9k
  • Health 782
  • Hepatology 363
Replace Héctor S. Izurieta with:
Héctor S. Izurieta United States
Nigel Gay United Kingdom
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Paul Gargiullo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Paul Gargiullo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Gargiullo Line = papers co-authored together Paul Gargiullo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 201919
3 201748
4 201630
5 201318
6 20129
7 201219
8
Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine.
2009409
9
Effectiveness of 2008-09 trivalent influenza vaccine against 2009 pandemic influenza A (H1N1) - United States, May-June 2009.
200959
10
Monitorización de la invaginación tras la autorización de la vacuna RotaTeq en Estados Unidos, 1-2-2006/25-9-2007
20081
11 2008161
12 200792
13 200665
14 200515
15 200358
16 200221
17
oes influenza vaccination exacerbate asthma
20008
18
[Reactivation of herpes virus infections by vaccination: evidence or coincidence?].
20004
19 199925
20 199525

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), Vaccine Coverage and Hesitancy (8 papers), Pneumonia and Respiratory Infections (8 papers), Herpesvirus Infections and Treatments (7 papers), Animal Disease Management and Epidemiology (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and SARS-CoV-2 and COVID-19 Research (4 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.

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