Joanna Ellis

20.0k total citations · 2 hit papers
115 papers, 4.8k citations indexed

About

Joanna Ellis is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Joanna Ellis has authored 115 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Epidemiology, 28 papers in Infectious Diseases and 15 papers in Modeling and Simulation. Recurrent topics in Joanna Ellis's work include Influenza Virus Research Studies (86 papers), Respiratory viral infections research (79 papers) and COVID-19 epidemiological studies (15 papers). Joanna Ellis is often cited by papers focused on Influenza Virus Research Studies (86 papers), Respiratory viral infections research (79 papers) and COVID-19 epidemiological studies (15 papers). Joanna Ellis collaborates with scholars based in United Kingdom, Maldives and France. Joanna Ellis's co-authors include Maria Zambon, Richard Pebody, Douglas Fleming, Hongxin Zhao, Nick Andrews, André Charlett, Shamez Ladhani, Robin Gopal, Monika Patel and Jamie Lopez Bernal and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Joanna Ellis

115 papers receiving 4.7k citations

Hit Papers

Duration of infectiousness and correlation with RT-PCR cy... 2020 2026 2022 2024 2020 2022 100 200 300 400 500

Peers

Joanna Ellis
Comparison fields: 5 of 135
  • Epidemiology 3.3k
  • Infectious Diseases 1.7k
  • Molecular Biology 573
  • Modeling and Simulation 545
  • Health 488
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Citations per field, relative to Joanna Ellis
Joanna Ellis · 1×
Citations per year, relative to Joanna Ellis
Joanna Ellis · 1×

Countries citing papers authored by Joanna Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Ellis. A scholar is included among the top collaborators of Joanna Ellis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joanna Ellis. Joanna Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 4
4 8
5
Epidemiology of respiratory syncytial virus in children younger than 5 years in England during the COVID-19 pandemic, measured by laboratory, clinical, and syndromic surveillance: a retrospective observational study breakdown →
152
6 6
7 1
8 21
9 15
10 26
11 6
12 5
13 35
14 6
15
'Educating Women Out of Homelessness' a Vocational Education and Development Program
1
16 11
17
Influenza and other respiratory viruses surveillance in the United Kingdom: October 2003 to May 2004
10
18 62
19 81
20 41

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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