Megan Halbrook

545 citations
16 papers · 246 · h-index 6

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Viral Infections and Outbreaks Research 4
    • SARS-CoV-2 and COVID-19 Research 2
    • Vaccine Coverage and Hesitancy 4

Megan Halbrook

13 papers receiving 242 citations

Peers

Megan Halbrook
Comparison fields: 5 of 34
  • Health 163
  • Infectious Diseases 102
  • Modeling and Simulation 24
  • Virology 10
  • Economics and Econometrics 40
Replace Rachel Martin‐Blais with:
Rachel Martin‐Blais United States
Maarten van Wijhe Denmark
Tricia Cresswell United Kingdom
Yuzo Shimazu Japan
Chunhuan Zhang China
Clara Mazagatos Spain
Robert J. Arciuolo United States
Amina Abdulle Italy
Walt Orenstein United States
Grazia Miraglia del Giudice Italy
Megan Halbrook relative to Rachel Martin‐Blais United States Rachel Martin‐Blais's profile →
Citations per field
00.5×3.3×
Rachel Martin‐Blais · 1×
Citations per year

Countries citing papers authored by Megan Halbrook

Since Specialization
Citations

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

Fields of papers citing papers by Megan Halbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021161
2 202128
3 202115
4 20189
5 20228
6 20217
7 20215
8 20245
9 20242
10 20222
11 20232
12 20161
13 20251
14 20210
15 20260
16 20260

About Megan Halbrook

Megan Halbrook is a scholar working on Infectious Diseases, Health, Cardiology and Cardiovascular Medicine, Virology and Epidemiology, having authored 16 papers that have together received 246 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), Viral Infections and Outbreaks Research (4 papers), Poxvirus research and outbreaks (3 papers), Viral Infections and Immunology Research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bacillus and Francisella bacterial research (2 papers), Infection Control and Ventilation (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Health (163 citations), Infectious Diseases (102 citations), Modeling and Simulation (24 citations), Virology (10 citations) and Economics and Econometrics (40 citations). Megan Halbrook has collaborated with scholars based in United States, Democratic Republic of the Congo and Belgium. Frequent co-authors include Anne W. Rimoin, Adva Gadoth, Ashley Gray, Rachel Martin‐Blais, Grace M. Aldrovandi, Nicole H. Tobin, Kathie G. Ferbas, Brian Kane, Nicole A. Hoff and Stephanie Ngai. Their work appears in journals such as Clinical Infectious Diseases, PLoS neglected tropical diseases, Vaccine, The Journal of Infectious Diseases and Emerging 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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