Sully Márquez

1.7k citations
15 papers · 176 · h-index 7

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • SARS-CoV-2 detection and testing

Papers in

Sully Márquez

14 papers receiving 167 citations

Peers

Sully Márquez
Comparison fields: 5 of 66
  • Modeling and Simulation 27
  • Infectious Diseases 95
  • Transportation 32
  • Public Health, Environmental and Occupational Health 54
  • Automotive Engineering 14
Replace Anwar Musah with:
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Chun Huang China
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Solveig Engebretsen Norway
LakKumar Fernando Sri Lanka
Neal H. Lin United States
Francesco Di Lauro United Kingdom
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Sully Márquez relative to Anwar Musah United Kingdom Anwar Musah's profile →
Citations per field
00.5×4.6×
Anwar Musah · 1×
Citations per year

Countries citing papers authored by Sully Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Sully Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202051
2 202048
3 202118
4 202016
5 202311
6 20227
7 20217
8 20185
9 20225
10 20233
11 20222
12 20251
13 20171
14 20201
15 20250

About Sully Márquez

Sully Márquez is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Sociology and Political Science, Epidemiology and Molecular Biology, having authored 15 papers that have together received 176 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Dengue and Mosquito Control Research (3 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Clinical Research Studies (3 papers), Malaria Research and Control (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Modeling and Simulation (27 citations), Infectious Diseases (95 citations), Transportation (32 citations), Public Health, Environmental and Occupational Health (54 citations) and Automotive Engineering (14 citations). Sully Márquez has collaborated with scholars based in Ecuador, United States and United Kingdom. Frequent co-authors include Mark Nieuwenhuijsen, Meelan Thondoo, Oriol Marquet, Gabriel Trueba, Bernardo Gutiérrez, Juan José Guadalupe, Michelle Grunauer, Paúl Cárdenas, Joséfina Coloma and Mónica Becerra-Wong. Their work appears in journals such as PLoS neglected tropical diseases, Frontiers in Cellular and Infection Microbiology, Journal of Transport & Health, Microbiology Spectrum and Epidemiology.

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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