Guillermo Sequera

4.1k citations
58 papers · 409 · h-index 13

Impact in

  • Health top 10%
    • Vaccine Coverage and Hesitancy
    • Tuberculosis Research and Epidemiology
    • Viral Infections and Outbreaks Research

Papers in

    • Tuberculosis Research and Epidemiology 13
    • Viral Infections and Outbreaks Research 8
    • Viral Infections and Vectors 4
    • Influenza Virus Research Studies 5

Guillermo Sequera

46 papers receiving 396 citations

Peers

Guillermo Sequera
Comparison fields: 5 of 93
  • Health 98
  • Infectious Diseases 202
  • Family Practice 14
  • Epidemiology 172
  • Modeling and Simulation 15
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Christian Auer Switzerland
Issifou Yaya France
Afiong Oku Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Guillermo Sequera

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Sequera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202135
2 201331
3 201630
4 201327
5 201625
6 201225
7 202020
8 201520
9 202315
10 202314
11 201314
12 201813
13 202012
14 201111
15 20169
16 20179
17 20228
18 20128
19 20217
20 20247

About Guillermo Sequera

Guillermo Sequera is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, General Health Professions and Health, having authored 58 papers that have together received 409 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Vaccine Coverage and Hesitancy (9 papers), Mosquito-borne diseases and control (9 papers), Health and Lifestyle Studies (8 papers), Viral Infections and Outbreaks Research (8 papers), Influenza Virus Research Studies (5 papers), Public Health and Environmental Issues (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Health (98 citations), Infectious Diseases (202 citations), Family Practice (14 citations), Epidemiology (172 citations) and Modeling and Simulation (15 citations). Guillermo Sequera has collaborated with scholars based in Paraguay, Spain and Mozambique. Frequent co-authors include Alberto L. García‐Basteiro, Guillermo Mena, Antoni Trilla, Marta Aldea, Anna Llupià, José M. Bayas, Jason R. Andrews, Júlio Croda, Leonardo Martínez and Elisa López‐Varela. Their work appears in journals such as Vaccine, Scientific Reports, Human Vaccines & Immunotherapeutics, The Lancet Regional Health - Americas and Nature Medicine.

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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