Tomás Aragón

1.8k citations
36 papers · 1.1k · h-index 14

Impact in

    • Parasitic Infections and Diagnostics
    • Viral gastroenteritis research and epidemiology
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Influenza Virus Research Studies 4
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Health Policy Implementation Science 2
    • Public Health Policies and Education 2

Tomás Aragón

35 papers receiving 1.0k citations

Peers

Tomás Aragón
Comparison fields: 5 of 107
  • Parasitology 110
  • Infectious Diseases 293
  • Endocrinology 85
  • Epidemiology 402
  • Virology 53
Replace Jane N. Zuckerman with:
Jane N. Zuckerman United Kingdom
María Rosario Capeding Philippines
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Citations per field
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Citations per year

Countries citing papers authored by Tomás Aragón

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Aragón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000179
2 2003151
3 199699
4 200794
5 200867
6 199963
7 199760
8 200449
9 200246
10 200341
11 201733
12 200325
13 201419
14 201313
15 202013
16 201010
17 201410
18
Lessons from Mass-Testing for COVID-19 in Long Term Care Facilities for the Elderly in San Francisco
20219
19 20159
20 20129

About Tomás Aragón

Tomás Aragón is a scholar working on Epidemiology, General Health Professions, Molecular Biology, Emergency Medical Services and Infectious Diseases, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Disaster Response and Management (4 papers), RNA and protein synthesis mechanisms (3 papers), Health Policy Implementation Science (2 papers), Parasitic Infections and Diagnostics (2 papers), Public Health Policies and Education (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Parasitology (110 citations), Infectious Diseases (293 citations), Endocrinology (85 citations), Epidemiology (402 citations) and Virology (53 citations). Tomás Aragón has collaborated with scholars based in United States, Spain and Hong Kong. Frequent co-authors include Juan Ortı́n, Amelia Nieto, Luis Carrasco, Isabel Novoa, Susana de la Luna, Duc J. Vugia, R. Reiter, Arthur Reingold, Williamson Z. Bradford and Susan Fernyak. Their work appears in journals such as BMC Public Health, Journal of Public Health Management and Practice, Molecular and Cellular Biology, PLoS ONE and Clinical 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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