Amy P. Callear

596 total citations
17 papers, 324 citations indexed

About

Amy P. Callear is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Amy P. Callear has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Modeling and Simulation. Recurrent topics in Amy P. Callear's work include Respiratory viral infections research (13 papers), Influenza Virus Research Studies (9 papers) and COVID-19 epidemiological studies (5 papers). Amy P. Callear is often cited by papers focused on Respiratory viral infections research (13 papers), Influenza Virus Research Studies (9 papers) and COVID-19 epidemiological studies (5 papers). Amy P. Callear collaborates with scholars based in United States. Amy P. Callear's co-authors include Emily T. Martin, Arnold S. Monto, Ryan E. Malosh, Joshua G. Petrie, Latifa A. Bazzi, Peter M. DeJonge, Adam S. Lauring, Brendan Flannery, Alicia M. Fry and Lois Lamerato and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Amy P. Callear

15 papers receiving 321 citations

Peers

Amy P. Callear
Comparison fields: 5 of 58
  • Infectious Diseases 149
  • Epidemiology 142
  • Modeling and Simulation 66
  • Pulmonary and Respiratory Medicine 58
  • Genetics 37
Replace Antoni A Campins with:
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Anke Herrmann Germany
Shengxia Yin China
Gregory J. Walker Australia
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Victor Virlogeux France
Lars Høsøien Skanke Norway
Vincenzo Sangiovanni Italy
Xiaowen Zhai China
Antoni A Campins Spain View profile →
Citations per field, relative to Amy P. Callear
Amy P. Callear · 1×
Citations per year, relative to Amy P. Callear
Amy P. Callear · 1×

Countries citing papers authored by Amy P. Callear

Since Specialization
Citations

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

Fields of papers citing papers by Amy P. Callear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy P. Callear. 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 Amy P. Callear. The network helps show where Amy P. Callear may publish in the future.

Co-authorship network of co-authors of Amy P. Callear

This figure shows the co-authorship network connecting the top 25 collaborators of Amy P. Callear. A scholar is included among the top collaborators of Amy P. Callear 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 Amy P. Callear. Amy P. Callear is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2 0
3 4
4 0
5 6
6 28
7 11
8 1
9 3
10 4
11 11
12 97
13 14
14 16
15 29
16 50
17 48

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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2026