Emily E. Bendall

625 citations
18 papers · 390 · 2 hit papers · h-index 8

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Respiratory viral infections research
    • Influenza Virus Research Studies

Papers in

Emily E. Bendall

16 papers receiving 383 citations

Emily E. Bendall's Hit Papers

SARS-CoV-2 shedding and evolution in patients who were immunocompromised during the omicron period: a multicentre, prospective analysis 2024 · 53 citations
530+1+2Years since publication4080120

Peers

Emily E. Bendall
Comparison fields: 5 of 43
  • Infectious Diseases 191
  • Epidemiology 126
  • Modeling and Simulation 14
  • Genetics 59
  • Water Science and Technology 25
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Countries citing papers authored by Emily E. Bendall

Since Specialization
Citations

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

Fields of papers citing papers by Emily E. Bendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily E. Bendall. 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 Emily E. Bendall. The network helps show where Emily E. Bendall may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Wastewater-Based Detection of Two Influenza Outbreaks
Hit paper breakdown →
2022140
2 202458
3
SARS-CoV-2 shedding and evolution in patients who were immunocompromised during the omicron period: a multicentre, prospective analysis
Hit paper breakdown →
202453
4 202332
5 201729
6 202327
7 202214
8 20228
9 20227
10 20256
11 20266
12 20233
13 20243
14 20232
15 20201
16 20231
17 20250
18 20260

About Emily E. Bendall

Emily E. Bendall is a scholar working on Epidemiology, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Genetics and Plant Science, having authored 18 papers that have together received 390 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Evolution and Genetic Dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hymenoptera taxonomy and phylogeny (4 papers), Genetic diversity and population structure (2 papers), Animal Behavior and Reproduction (2 papers), Respiratory viral infections research (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Infectious Diseases (191 citations), Epidemiology (126 citations), Modeling and Simulation (14 citations), Genetics (59 citations) and Water Science and Technology (25 citations). Emily E. Bendall has collaborated with scholars based in United States, Portugal and Puerto Rico. Frequent co-authors include Catherine R. Linnen, Adam S. Lauring, Emily Toth Martin, William J. Fitzsimmons, Calvin Eric Hwang, Marlene K. Wolfe, Alexandria B B Boehm, Peter J. Arts, Kevin M. Bakker and Bradley J. White. Their work appears in journals such as JAMA, JAMA Network Open, Environmental Science & Technology Letters, Influenza and Other Respiratory Viruses and Nature Communications.

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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