Alison E. Simmons

416 citations
25 papers · 162 · h-index 8

Impact in

Papers in

    • Respiratory viral infections research 4
    • Pneumonia and Respiratory Infections 3
    • Data-Driven Disease Surveillance 2
    • Influenza Virus Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 4

Alison E. Simmons

20 papers receiving 161 citations

Peers

Alison E. Simmons
Comparison fields: 5 of 64
  • Modeling and Simulation 21
  • Health 12
  • Parasitology 10
  • Infectious Diseases 26
  • Obstetrics and Gynecology 10
Replace Solveig Engebretsen with:
Solveig Engebretsen Norway
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Citations per field
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Citations per year

Countries citing papers authored by Alison E. Simmons

Since Specialization
Citations

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

Fields of papers citing papers by Alison E. Simmons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201234
2 202119
3 202419
4 201614
5 202213
6 201911
7 20168
8 20237
9 20236
10 20245
11 20255
12 20244
13 20224
14 20254
15 20253
16 20232
17 20251
18 20241
19 20241
20 20221

About Alison E. Simmons

Alison E. Simmons is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Obstetrics and Gynecology and Health, having authored 25 papers that have together received 162 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Respiratory viral infections research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumonia and Respiratory Infections (3 papers), Vaccine Coverage and Hesitancy (2 papers), Data-Driven Disease Surveillance (2 papers), Pregnancy and preeclampsia studies (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (21 citations), Health (12 citations), Parasitology (10 citations), Infectious Diseases (26 citations) and Obstetrics and Gynecology (10 citations). Alison E. Simmons has collaborated with scholars based in Canada and United States. Frequent co-authors include Thomas W. Simmons, Ashleigh R. Tuite, David N. Fisman, Cuong Q. Diep, Gebremedhin Beedemariam Gebretekle, Raphael Ximenes, April Killikelly, Amy Peng, Ellen Rafferty and Nicholas Brousseau. Their work appears in journals such as Vaccine, PLoS ONE, Canada Communicable Disease Report, Clinical Infectious Diseases and Journal of Visualized Experiments.

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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