Edith Marcial‐Juárez

408 citations
8 papers · 125 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • Viral Infections and Vectors 2
    • SARS-CoV-2 detection and testing 1
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2

Edith Marcial‐Juárez

8 papers receiving 123 citations

Peers

Edith Marcial‐Juárez
Comparison fields: 5 of 41
  • Infectious Diseases 69
  • Immunology 35
  • Modeling and Simulation 4
  • Virology 3
  • Public Health, Environmental and Occupational Health 13
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Citations per year

Countries citing papers authored by Edith Marcial‐Juárez

Since Specialization
Citations

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

Fields of papers citing papers by Edith Marcial‐Juárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edith Marcial‐Juárez. 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 Edith Marcial‐Juárez. The network helps show where Edith Marcial‐Juárez may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202051
2 202116
3 201716
4 202014
5 202212
6 20237
7 20255
8 20204

About Edith Marcial‐Juárez

Edith Marcial‐Juárez is a scholar working on Infectious Diseases, Immunology, Virology, Public Health, Environmental and Occupational Health and Ecology, having authored 8 papers that have together received 125 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunotherapy and Immune Responses (2 papers), Mosquito-borne diseases and control (2 papers), HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Viral Infections and Vectors (2 papers) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (69 citations), Immunology (35 citations), Modeling and Simulation (4 citations), Virology (3 citations) and Public Health, Environmental and Occupational Health (13 citations). Edith Marcial‐Juárez has collaborated with scholars based in United Kingdom, Mexico and Australia. Frequent co-authors include Adam F. Cunningham, Siân E. Jossi, Maddy L. Newby, Max Crispin, Alex Richter, Sian Faustini, Adrian Shields, Marisol Pérez-Toledo, Yasunori Watanabe and Joel D. Allen. Their work appears in journals such as Frontiers in Immunology, Emerging infectious diseases, iScience, The Journal of Immunology and Journal of Molecular Biology.

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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