Patrick Saulnier

10.1k citations
154 papers · 7.4k indexed · 2 hit papers · h-index 45

Patrick Saulnier

145 papers receiving 7.2k citations

Hit Papers

Design and production of nanoparticles formulated from na...8702006202620122019250500750

Peers

Patrick Saulnier
Comparison fields: 5 of 163
  • Pharmaceutical Science 1.7k
  • Biomaterials 2.2k
  • Food Science 1.2k
  • Molecular Medicine 234
  • Molecular Biology 2.8k
Replace Ambikanandan Misra with:
Ambikanandan Misra India
M. R. Mozafari Iran
Hatem Fessi France
Donatella Paolino Italy
Massimo Fresta Italy
Xing Tang China
Chuanbin Wu China
Karsten Mäder Germany
Clive A. Prestidge Australia
Elias Fattal France
Patrick Saulnier relative to Ambikanandan Misra India Ambikanandan Misra's profile →
Citations per field
00.5×1.5×2.2×
Ambikanandan Misra · 1×
Citations per year

Countries citing papers authored by Patrick Saulnier

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Saulnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20230
5 20233
6 202310
7 202216
8 20215
9 202116
10 20202
11 20203
12 20193
13 20195
14 20199
15 20188
16 201654
17 201353
18 201045
19 2007192
20 199926

About Patrick Saulnier

Patrick Saulnier is a scholar working on Pharmaceutical Science, Biomaterials and Filtration and Separation, having authored 154 papers that have together received 7.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (40 papers), Surfactants and Colloidal Systems (29 papers), Nanoparticle-Based Drug Delivery (27 papers), Advanced Drug Delivery Systems (21 papers), RNA Interference and Gene Delivery (17 papers), Proteins in Food Systems (14 papers), Advancements in Transdermal Drug Delivery (14 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Pharmaceutical Science (1.7k citations), Biomaterials (2.2k citations) and Food Science (1.2k citations). Patrick Saulnier has collaborated with scholars based in France, Belgium and Bulgaria. Frequent co-authors include Jean‐Pierre Benoît, Nicolas Anton, Catherine Passirani, Arnaud Béduneau, Brigitte Pech, Sandy Vrignaud, Jacques‐Emile Proust, Ngoc Trinh Huynh, Anita Umerska and J. E. Proust. Their work appears in journals such as International Journal of Pharmaceutics, Colloids and Surfaces B Biointerfaces, Journal of Controlled Release, Biomaterials and Journal of Colloid and Interface Science.

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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