Aaron Day

402 citations
7 papers · 62 · h-index 3

Impact in

Papers in

    • Influenza Virus Research Studies 3
    • Respiratory viral infections research 2
    • Otolaryngology and Infectious Diseases 1
    • COVID-19 Clinical Research Studies 1
    • SARS-CoV-2 detection and testing 1

Aaron Day

6 papers receiving 61 citations

Peers

Aaron Day
Comparison fields: 5 of 29
  • Infectious Diseases 30
  • Neurology 17
  • Biological Psychiatry 2
  • Immunology 14
  • General Dentistry 1
Replace Saori Amiya with:
Saori Amiya Japan
Maaike Swets Netherlands
Natale Imaz-Ayo Spain
Tomoyuki Kimura Japan
Björn P. Persson Sweden
Kyle R. Kays United States
Paul Quentric France
Karine Faure France
Elisabeth De Leeuw Belgium
Niklas Broman Finland
Aaron Day relative to Saori Amiya Japan Saori Amiya's profile →
Citations per field
00.5×1.7×
Saori Amiya · 1×
Citations per year

Countries citing papers authored by Aaron Day

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202127
2 202115
3 202015
4 20242
5 20232
6
The group-specific protein marker: a possible indicator of syphilis, not human immunodeficiency virus infection.
19881
7 19850

About Aaron Day

Aaron Day is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Dermatology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 62 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (2 papers), Otolaryngology and Infectious Diseases (1 paper), COVID-19 Clinical Research Studies (1 paper), Dermatological and COVID-19 studies (1 paper), Streptococcal Infections and Treatments (1 paper), SARS-CoV-2 detection and testing (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Infectious Diseases (30 citations), Neurology (17 citations), Biological Psychiatry (2 citations), Immunology (14 citations) and General Dentistry (1 citation). Aaron Day has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Ali H. Ellebedy, Philip A. Mudd, Stacey L. House, Joaquı́n Zúñiga, Jane A. O’Halloran, José Alberto Choreño-Parra, Jackson S. Turner, Bruce K. Patterson, Daniel Reynolds and Cristina Vazquez Guillamet. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, The Journal of Infectious Diseases, The Journal of Immunology, Current Medical Research and Opinion and Frontiers in Immunology.

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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