Peggy Mérida

818 citations
15 papers · 325 · h-index 12

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Lipid Membrane Structure and Behavior 2
    • RNA Interference and Gene Delivery 2
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 2

Peggy Mérida

15 papers receiving 321 citations

Peers

Peggy Mérida
Comparison fields: 5 of 76
  • Virology 58
  • Biophysics 32
  • Infectious Diseases 85
  • Molecular Biology 160
  • Structural Biology 3
Replace C. Todd DeMarco with:
C. Todd DeMarco United States
Stefan Petkov Sweden
Floriane Herit France
Dennis Awuah United States
Damon C. Shutt United States
Elena Mekhedov United States
Isabela Pedroza‐Pacheco United Kingdom
Wing-Yiu Jason Lee United Kingdom
Nikolaos Tsopoulidis Germany
Christian Paar Austria
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Citations per field
00.5×5.6×
C. Todd DeMarco · 1×
Citations per year

Countries citing papers authored by Peggy Mérida

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Mérida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201959
2 202138
3 201833
4 202127
5 202225
6 202125
7 200422
8 200721
9 200219
10 200417
11 202215
12 202211
13 20046
14 20225
15 20232

About Peggy Mérida

Peggy Mérida is a scholar working on Molecular Biology, Infectious Diseases, Virology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 15 papers that have together received 325 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), SARS-CoV-2 detection and testing (2 papers), T-cell and B-cell Immunology (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (58 citations), Biophysics (32 citations), Infectious Diseases (85 citations), Molecular Biology (160 citations) and Structural Biology (3 citations). Peggy Mérida has collaborated with scholars based in France, Germany and Australia. Frequent co-authors include Delphine Muriaux, Cyril Favard, Johnson Mak, Sébastien Lyonnais, Christian Eggeling, Jakub Chojnacki, Christine Chable-Bessia, Naresh Yandrapalli, Aymeric Neyret and Roger Lahana. Their work appears in journals such as Scientific Reports, Anti-Cancer Drugs, iScience, The Journal of Immunology and Biology of the Cell.

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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