Éric Perrier

78 papers receiving 2.4k citations

Hit Papers

Nano-emulsion formulation using spontaneous emulsification: solvent, oil and surfactant optimisation 2004 · 647 citations
6472004202620112018200400600

Peers

Éric Perrier
Comparison fields: 5 of 162
  • Pharmaceutical Science 284
  • Dermatology 361
  • Cell Biology 390
  • Biochemistry 118
  • Food Science 355
Replace Sumeet Gupta with:
Sumeet Gupta India
Jae Sung Hwang South Korea
In‐Soo Yoon South Korea
Ayman Saleh Saudi Arabia
Hirofumi Matsui Japan
Yufeng Xia China
Jung‐Im Na South Korea
Mohammad Zaki Ahmad India
Juan Su China
Bola Sadashiva Satish Rao India
Éric Perrier relative to Sumeet Gupta India Sumeet Gupta's profile →
Citations per field
00.5×4.7×
Sumeet Gupta · 1×
Citations per year

Countries citing papers authored by Éric Perrier

Since Specialization
Citations

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

Fields of papers citing papers by Éric Perrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nano-emulsion formulation using spontaneous emulsification: solvent, oil and surfactant optimisation
Hit paper breakdown →
2004647
2 2005145
3 2003136
4 2005104
5 200693
6 201092
7 200687
8 201274
9 200772
10
Finding Optimal Bayesian Network Given a Super-Structure
200870
11 201364
12 200659
13 201155
14 200655
15 200651
16 200339
17 201235
18 200934
19 200332
20 201230

About Éric Perrier

Éric Perrier is a scholar working on Dermatology, Internal Medicine, Cell Biology, Immunology and Allergy and Geriatrics and Gerontology, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Skin Protection and Aging (11 papers), Cardiac Imaging and Diagnostics (7 papers), melanin and skin pigmentation (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Cardiac pacing and defibrillation studies (4 papers), Travel-related health issues (4 papers), Coronary Interventions and Diagnostics (4 papers) and Advancements in Transdermal Drug Delivery (3 papers). The work is most often cited by research in Pharmaceutical Science (284 citations), Dermatology (361 citations), Cell Biology (390 citations), Biochemistry (118 citations) and Food Science (355 citations). Éric Perrier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include S. Briançon, Kawthar Bouchemal, Hatem Fessi, Isabelle Bonnet, Sylvianne Schnebert, Odile Damour, Carine Nizard, Anne‐Marie Mariotte, Ahcène Boumendjel and Valérie André. Their work appears in journals such as International Journal of Cosmetic Science, Experimental Dermatology, Tissue Engineering, Annals of Noninvasive Electrocardiology and International Journal of Pharmaceutics.

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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