Arlene Reynolds

2.4k citations
29 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
Influenza Virus Research Studies (16 papers)Respiratory viral infections research (9 papers)COVID-19 epidemiological studies (5 papers)

In The Last Decade

Arlene Reynolds

29 papers receiving 1.1k citations

Hit Papers

Virus–virus interactions impact the population dynamics o...20192026202120232019100200300

Peers

Arlene Reynolds
Comparison fields: 5 of 100
  • Epidemiology 780
  • Infectious Diseases 328
  • Public Health, Environmental and Occupational Health 189
  • Modeling and Simulation 137
  • Health 71
Replace Jean‐Sébastien Casalegno with:
Jean‐Sébastien Casalegno France
Leon Heron Australia
Emilia Lupulescu Romania
Gillian Lim Canada
Philippe Barboza France
Isabelle Bonmarin France
Poh Lian Lim Singapore
Beatrix von Wissmann United Kingdom
Alicia M. Siston United States
Jung Yeon Heo South Korea
Arlene Reynolds relative to Jean‐Sébastien Casalegno France Jean‐Sébastien Casalegno's profile →
Citations per field
00.5×2.6×
Jean‐Sébastien Casalegno · 1×
Citations per year

Countries citing papers authored by Arlene Reynolds

Since Specialization
Citations

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

Fields of papers citing papers by Arlene Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arlene Reynolds

This figure shows the co-authorship network connecting the top 25 collaborators of Arlene Reynolds. A scholar is included among the top collaborators of Arlene Reynolds 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 Arlene Reynolds. Arlene Reynolds 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
#WorkIndexed citations
1 4
2 18
3 11
4
Virus–virus interactions impact the population dynamics of influenza and the common coldbreakdown →
340
5 4
6 78
7 19
8 17
9 24
10 9
11 51
12 47
13 13
14 7
15 89
16 24
17 3
18 2
19 28
20 3

About Arlene Reynolds

Arlene Reynolds is a scholar working on Modeling and Simulation, Epidemiology and Health, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (9 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Epidemiology (780 citations) and Infectious Diseases (328 citations). Arlene Reynolds has collaborated with scholars based in United Kingdom, Maldives and Ireland. Frequent co-authors include Rory Gunson, Beatrix von Wissmann, James McMenamin, P. Johnson, Fiona Thorburn, Richard Reeve, Jim McMenamin, Louise Matthews, Colette Mair and Sema Nickbakhsh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and The Lancet 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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