Frank Beard

1.9k citations
96 papers · 1.2k indexed · h-index 19

Impact in

  • Health top 1%
    • Vaccine Coverage and Hesitancy
    • Bacterial Infections and Vaccines

Papers in

    • Influenza Virus Research Studies 37
    • Virology and Viral Diseases 15
    • Respiratory viral infections research 11
    • Pneumonia and Respiratory Infections 10
    • Vaccine Coverage and Hesitancy 47

Frank Beard

91 papers receiving 1.2k citations

Peers

Frank Beard
Comparison fields: 5 of 89
  • Health 640
  • Microbiology 167
  • Epidemiology 778
  • Modeling and Simulation 92
  • Infectious Diseases 367
Replace Maria Theodoridou with:
Maria Theodoridou Greece
Wilhelmina L.M. Ruijs Netherlands
Cristina Giambi Italy
Chantal Sauvageau Canada
Stacie M. Greby United States
Cornelius Remschmidt Germany
S Glismann Denmark
Laura P. Hurley United States
İnci Yıldırım United States
Jean‐Marie Okwo‐Bele Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Frank Beard

Since Specialization
Citations

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

Fields of papers citing papers by Frank Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 201951
3 201649
4 201947
5 201646
6 202242
7 201732
8 201931
9 201728
10 201926
11 201026
12 201925
13 202024
14 201923
15 202022
16 201621
17 202121
18 200519
19 202119
20 202318

About Frank Beard

Frank Beard is a scholar working on Epidemiology, Health, Infectious Diseases, Microbiology and Hepatology, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (47 papers), Influenza Virus Research Studies (37 papers), Viral gastroenteritis research and epidemiology (18 papers), Virology and Viral Diseases (15 papers), Respiratory viral infections research (11 papers), Pneumonia and Respiratory Infections (10 papers), Hepatitis Viruses Studies and Epidemiology (10 papers) and Bacterial Infections and Vaccines (10 papers). The work is most often cited by research in Health (640 citations), Microbiology (167 citations), Epidemiology (778 citations), Modeling and Simulation (92 citations) and Infectious Diseases (367 citations). Frank Beard has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Aditi Dey, Kristine Macartney, Alexandra Hendry, Peter McIntyre, Brynley Hull, Julia Brotherton, Julie Leask, Han Wang, Helen Quinn and Christine Selvey. Their work appears in journals such as The Medical Journal of Australia, Vaccine, Communicable Diseases Intelligence, Public Health Research & Practice and Australian and New Zealand Journal of Public Health.

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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