Amy M. Scheel

605 citations
31 papers · 423 · h-index 12

Impact in

Papers in

Amy M. Scheel

29 papers receiving 381 citations

Peers

Amy M. Scheel
Comparison fields: 5 of 48
  • Public Health, Environmental and Occupational Health 262
  • Infectious Diseases 80
  • Critical Care and Intensive Care Medicine 18
  • Epidemiology 115
  • Cardiology and Cardiovascular Medicine 61
Replace Andrea Z. Beaton with:
Andrea Z. Beaton United States
Kaciane Oliveira Brazil
Boglarka Reményi Australia
Sulafa Ali Sudan
Amy Sanyahumbi United States
Judith Namuyonga Uganda
Hani M. Mahmoud-Elsayed United Kingdom
Brian McCrossan United Kingdom
Rafael Perello Carbonell Spain
Jonathan Franco Spain
Amy M. Scheel relative to Andrea Z. Beaton United States Andrea Z. Beaton's profile →
Citations per field
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Andrea Z. Beaton · 1×
Citations per year

Countries citing papers authored by Amy M. Scheel

Since Specialization
Citations

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

Fields of papers citing papers by Amy M. Scheel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201760
2 201851
3 201746
4 202038
5 201829
6 201926
7 201822
8 201720
9 201618
10 202018
11 201915
12 202115
13 202012
14 201910
15 20166
16 20226
17 20214
18 20234
19 20233
20 20223

About Amy M. Scheel

Amy M. Scheel is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Infectious Diseases, Virology and Emergency Medicine, having authored 31 papers that have together received 423 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (18 papers), Congenital Heart Disease Studies (6 papers), Infective Endocarditis Diagnosis and Management (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Rabies epidemiology and control (2 papers), Cardiac Arrest and Resuscitation (2 papers), COVID-19 Clinical Research Studies (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (262 citations), Infectious Diseases (80 citations), Critical Care and Intensive Care Medicine (18 citations), Epidemiology (115 citations) and Cardiology and Cardiovascular Medicine (61 citations). Amy M. Scheel has collaborated with scholars based in United States, Uganda and Australia. Frequent co-authors include Craig Sable, Emmy Okello, Andrea Beaton, Twalib Olega Aliku, Peter Solomon Lwabi, Chris Todd Longenecker, Grace Mirembe, Joselyn Rwebembera, Robert McCarter and Ghazala A. Datoo O’Keefe. Their work appears in journals such as Open Forum Infectious Diseases, Circulation, Heart, The Pediatric Infectious Disease Journal and PLoS ONE.

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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