Inés Ripa

406 citations
17 papers · 277 · 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

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

Inés Ripa

16 papers receiving 275 citations

Peers

Inés Ripa
Comparison fields: 5 of 74
  • Infectious Diseases 66
  • Molecular Biology 158
  • Cancer Research 26
  • Biological Psychiatry 4
  • Epidemiology 54
Replace Vineetha Vijayakumar with:
Vineetha Vijayakumar Spain
Haerin Jung United States
Lin-Chun Chang United States
Arunima Purkayastha United States
Yafei Chang China
Virginia Vita Vanella Italy
Zilei Duan China
Boris Fichtman Israel
Chiara Tani Italy
Inés Ripa relative to Vineetha Vijayakumar Spain Vineetha Vijayakumar's profile →
Citations per field
00.5×1.5×
Vineetha Vijayakumar · 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 202181
2 202061
3 202019
4 202119
5 202116
6 202215
7 202314
8 202214
9 202112
10 202010
11 20238
12 20243
13 20242
14 20251
15 20241
16 20211
17 20250

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 277 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Cellular transport and secretion (3 papers), HIV Research and Treatment (2 papers), Lipid Membrane Structure and Behavior (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Parvovirus B19 Infection Studies (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Infectious Diseases (66 citations), Molecular Biology (158 citations), Cancer Research (26 citations), Biological Psychiatry (4 citations) and Epidemiology (54 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, Nicola De Simone, José Á. Ruiz-Masó, Gloria del Solar, Pasquale Russo, Giuseppe Spano, Cayetano von Kobbe, Núria Gironès and Gustavo Ramírez. Their work appears in journals such as Viruses, Frontiers in Microbiology, International Journal of Molecular Sciences, Biomolecules and Journal of Infection.

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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