Guillermo Sequera

3.4k citations
60 papers · 418 · h-index 12

Impact in

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

Papers in

    • Tuberculosis Research and Epidemiology 10
    • Viral Infections and Outbreaks Research 5
    • Vaccine Coverage and Hesitancy 6

Guillermo Sequera

46 papers receiving 402 citations

Peers

Guillermo Sequera
Comparison fields: 5 of 94
  • Health 79
  • Infectious Diseases 152
  • Epidemiology 109
  • Modeling and Simulation 11
  • Family Practice 4
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Christian Auer Switzerland
Abhay Kudale India
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Krystal Chi Kei Lee Hong Kong
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Simon Mutembo United States
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Chunxiao Duan China
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201634
2 201333
3 201329
4 201627
5 201226
6 202025
7 201523
8 202320
9 202318
10 201815
11 201315
12 202014
13 201912
14 202510
15 202410
16 20129
17 20179
18 20229
19 20218
20 20118

About Guillermo Sequera

Guillermo Sequera is a scholar working on Infectious Diseases, Health, General Health Professions, Public Health, Environmental and Occupational Health and Epidemiology, having authored 60 papers that have together received 418 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Health and Lifestyle Studies (9 papers), Mosquito-borne diseases and control (7 papers), Vaccine Coverage and Hesitancy (6 papers), Viral Infections and Outbreaks Research (5 papers), Obesity, Physical Activity, Diet (4 papers), Indigenous Health and Education (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Health (79 citations), Infectious Diseases (152 citations), Epidemiology (109 citations), Modeling and Simulation (11 citations) and Family Practice (4 citations). Guillermo Sequera has collaborated with scholars based in Paraguay, Spain and United States. Frequent co-authors include Alberto L. García‐Basteiro, Guillermo Mena, Jose Maria Bayas, Antoni Trilla, Marta Aldea, Anna Llupià, Jose R. Rivas Rios, Jason Randolph Andrews, Irene Losada and Júlio Croda. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, Scientific Reports, The Lancet Regional Health - Americas and MMWR Morbidity and Mortality Weekly Report.

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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