Vitali Pool

2.5k citations
31 papers · 1.7k · h-index 17

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Pneumonia and Respiratory Infections 2
    • Bacterial Infections and Vaccines 10

Vitali Pool

31 papers receiving 1.6k citations

Peers

Vitali Pool
Comparison fields: 5 of 110
  • Immunology and Allergy 209
  • Health 227
  • Hepatology 211
  • Infectious Diseases 478
  • Microbiology 117
Replace Stephanie A. Irving with:
Stephanie A. Irving United States
Jonathan Duffy United States
Steve Black United States
Kirsten P. Perrett Australia
Christopher S. Ambrose United States
Najwa Khuri‐Bulos Jordan
Christina Y. Chan United States
Peter D. Reuman United States
Tao Shen China
Zafer Kurugöl Türkiye
Vitali Pool relative to Stephanie A. Irving United States Stephanie A. Irving's profile →
Citations per field
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Stephanie A. Irving · 1×
Citations per year

Countries citing papers authored by Vitali Pool

Since Specialization
Citations

This map shows the geographic impact of Vitali Pool'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 Vitali Pool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitali Pool more than expected).

Fields of papers citing papers by Vitali Pool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vitali Pool. 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 Vitali Pool. The network helps show where Vitali Pool may publish in the future.

Co-authors

The 25 scholars most cited alongside Vitali Pool, 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 Vitali Pool Line = papers co-authored together Vitali Pool links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surveillance for safety after immunization: Vaccine Adverse Event Reporting System (VAERS)--United States, 1991-2001.
2003323
2 1999297
3 2007288
4 2017119
5 2002102
6 200092
7 200578
8 201676
9 200468
10 200445
11 200634
12 201827
13 200824
14 200721
15 201719
16 200117
17 201617
18 19979
19 20218
20 20236

About Vitali Pool

Vitali Pool is a scholar working on Epidemiology, Microbiology, Health, Infectious Diseases and Obstetrics and Gynecology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (10 papers), Vaccine Coverage and Hesitancy (7 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Allergic Rhinitis and Sensitization (2 papers), Pneumonia and Respiratory Infections (2 papers) and COVID-19 Impact on Reproduction (2 papers). The work is most often cited by research in Immunology and Allergy (209 citations), Health (227 citations), Hepatology (211 citations), Infectious Diseases (478 citations) and Microbiology (117 citations). Vitali Pool has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Robert T. Chen, Weigong Zhou, Penina Haber, M. Miles Braun, Gina T. Mootrey, John M. Kelso, Robert P. Wise, Robert Ball, Robert Pless and Susan S. Ellenberg. Their work appears in journals such as Vaccine, Drug Safety, Human Vaccines & Immunotherapeutics, Pharmacoepidemiology and Drug Safety and Clinical Infectious Diseases.

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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