Hannah Browne

1.3k citations
22 papers · 877 · h-index 12

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 15
    • SARS-CoV-2 detection and testing 4
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • Animal Virus Infections Studies 2

Hannah Browne

19 papers receiving 856 citations

Peers

Hannah Browne
Comparison fields: 5 of 71
  • Infectious Diseases 737
  • Animal Science and Zoology 148
  • Cardiology and Cardiovascular Medicine 139
  • Modeling and Simulation 29
  • Hepatology 44
Replace Haider Al‐Hello with:
Haider Al‐Hello Finland
Cristina Fuentes Spain
Adriana Gonçalves Maranhão Brazil
Christina J. Castro United States
Rebecca K.Y. Lam Hong Kong
Flávia Ramos Guimarães Brazil
Sung-Sil Moon United States
Leera Kittigul Thailand
Myrna D. Charles United States
Leesa D. Bruggink Australia
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Citations per field
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Citations per year

Countries citing papers authored by Hannah Browne

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020201
2 2018189
3 2021116
4 201960
5 202049
6 202142
7 202042
8 202136
9 202031
10 201423
11 202020
12 201913
13 201812
14 202212
15 202112
16 20197
17 20196
18 20225
19 20241
20 20260

About Hannah Browne

Hannah Browne is a scholar working on Infectious Diseases, Animal Science and Zoology, Obstetrics and Gynecology, Genetics and Cancer Research, having authored 22 papers that have together received 877 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (15 papers), SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (2 papers), Pregnancy and preeclampsia studies (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Infectious Diseases (737 citations), Animal Science and Zoology (148 citations), Cardiology and Cardiovascular Medicine (139 citations), Modeling and Simulation (29 citations) and Hepatology (44 citations). Hannah Browne has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Jan Vinjé, Robert L. Atmar, Mary Kolb Estes, Verónica Costantini, Khalil Ettayebi, Xi‐Lei Zeng, Anna Maria Montmayeur, Leslie Barclay, Margaret N. Kosek and Thomas H. Tang. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases, Vaccine, MMWR Morbidity and Mortality Weekly Report and Journal of Clinical Virology.

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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