Inés Ripa

434 citations
17 papers · 302 · h-index 10

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Extracellular vesicles in disease
    • Lipid Membrane Structure and Behavior

Papers in

    • Extracellular vesicles in disease 2
    • Lipid Membrane Structure and Behavior 2
    • Herpesvirus Infections and Treatments 4
    • Cytomegalovirus and herpesvirus research 2

Inés Ripa

17 papers receiving 298 citations

Peers

Inés Ripa
Comparison fields: 5 of 73
  • Infectious Diseases 64
  • Molecular Biology 158
  • Cancer Research 26
  • Epidemiology 56
  • Biological Psychiatry 4
Replace Sabina Andreu with:
Sabina Andreu Spain
Marcin Słomka Poland
Vineetha Vijayakumar Spain
Mohsen Hemmati-Dinarvand Iran
Suzi Klaus United States
Leandro Silva da Costa Brazil
Hendrik J.P. van der Zande Netherlands
Samantha L. Schuster United States
Jhen Tsang United Kingdom
Inés Ripa relative to Sabina Andreu Spain Sabina Andreu's profile →
Citations per field
00.5×1.5×2×2.5×
Sabina Andreu · 1×
Citations per year

Countries citing papers authored by Inés Ripa

Since Specialization
Citations

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

Fields of papers citing papers by Inés Ripa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Inés Ripa, 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 Inés Ripa Line = papers co-authored together Inés Ripa links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202186
2 202064
3 202121
4 202119
5 202019
6 202218
7 202218
8 202315
9 202112
10 202010
11 20238
12 20244
13 20242
14 20242
15 20252
16 20251
17 20211

About Inés Ripa

Inés Ripa is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Cell Biology, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Cellular transport and secretion (3 papers), Parvovirus B19 Infection Studies (2 papers), Viral Infections and Vectors (2 papers), Extracellular vesicles in disease (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Mosquito-borne diseases and control (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Infectious Diseases (64 citations), Molecular Biology (158 citations), Cancer Research (26 citations), Epidemiology (56 citations) and Biological Psychiatry (4 citations). Inés Ripa has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include José Antonio López‐Guerrero, Raquel Bello‐Morales, Sabina Andreu, Giuseppe Spano, Gloria del Solar, Nicola De Simone, Pasquale Russo, José Á. Ruiz-Masó, María J. Buzón and Meritxell Genescà. Their work appears in journals such as Viruses, International Journal of Molecular Sciences, Frontiers in Microbiology, Biomolecules and Microbial Biotechnology.

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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