Manon Ripoll

485 citations
15 papers · 371 · h-index 11

Impact in

    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Lipid Membrane Structure and Behavior

Papers in

    • RNA Interference and Gene Delivery 10
    • Advanced biosensing and bioanalysis techniques 4
    • Polydiacetylene-based materials and applications 4
    • Click Chemistry and Applications 2

Manon Ripoll

15 papers receiving 368 citations

Peers

Manon Ripoll
Comparison fields: 5 of 57
  • Biomaterials 49
  • Molecular Biology 240
  • Pharmaceutical Science 14
  • Immunology 45
  • Organic Chemistry 53
Replace Stefania Ordanini with:
Stefania Ordanini Italy
Olivia R. Brohlin United States
Ritam Das United States
Jasmin Federizon United States
Gonna Somu Naidu Israel
Saed Abbasi Japan
Meike Roskamp Germany
Arundhati Saraph United States
Maha Maglinao Germany
Suzanne B. P. E. Timmermans Netherlands
Manon Ripoll relative to Stefania Ordanini Italy Stefania Ordanini's profile →
Citations per field
00.5×
Stefania Ordanini · 1×
Citations per year

Countries citing papers authored by Manon Ripoll

Since Specialization
Citations

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

Fields of papers citing papers by Manon Ripoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202276
2 202264
3 202336
4 201632
5 202031
6 201529
7 201523
8 202518
9 201817
10 202416
11 201812
12 20245
13 20235
14 20194
15 20243

About Manon Ripoll

Manon Ripoll is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Immunology and Microbiology, having authored 15 papers that have together received 371 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Polydiacetylene-based materials and applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Click Chemistry and Applications (2 papers), Immunotherapy and Immune Responses (2 papers), Antimicrobial Peptides and Activities (2 papers), Supramolecular Self-Assembly in Materials (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Biomaterials (49 citations), Molecular Biology (240 citations), Pharmaceutical Science (14 citations), Immunology (45 citations) and Organic Chemistry (53 citations). Manon Ripoll has collaborated with scholars based in France, Italy and Morocco. Frequent co-authors include Antoine Kichler, Alain Wagner, Marie‐Claire Nicolaï, Jean-Serge Rémy, Jean Haensler, Marie‐Clotilde Bernard, Mostafa Nakach, Pierre Wils, Jean‐René Authelin and Patrick Tabeling. Their work appears in journals such as Scientific Reports, Nanoscale, Bioconjugate Chemistry, Pharmaceutics and Molecular Therapy — Nucleic Acids.

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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