Éric Perrier

78 papers receiving 2.4k citations

Éric Perrier's Hit Papers

Nano-emulsion formulation using spontaneous emulsification: solvent, oil and surfactant optimisation 2004 · 658 citations
6580+7+14Years since publication200400600

Peers

Éric Perrier
Comparison fields: 5 of 160
  • Pharmaceutical Science 275
  • Dermatology 320
  • Cell Biology 365
  • Biochemistry 113
  • Food Science 343
Replace Jae Sung Hwang with:
Jae Sung Hwang South Korea
Juan Su China
Jung‐Im Na South Korea
Yufeng Xia China
Chunhua Yang China
Bola Sadashiva Satish Rao India
Naoki Inagaki Japan
Xiang Li China
André Barel Belgium
Deepak Kaushik India
Éric Perrier relative to Jae Sung Hwang South Korea Jae Sung Hwang's profile →
Citations per field
00.5×3.0×
Jae Sung Hwang · 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 →
2004658
2 2005145
3 2003137
4 2005105
5 201093
6 200692
7 200687
8 201274
9 200773
10
Finding Optimal Bayesian Network Given a Super-Structure
200870
11 201365
12 200659
13 200657
14 201155
15 200651
16 200339
17 201237
18 200934
19 200332
20 201230

About Éric Perrier

Éric Perrier is a scholar working on Molecular Biology, Cell Biology, Dermatology, Surgery and Organic Chemistry, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Skin Protection and Aging (8 papers), melanin and skin pigmentation (5 papers), Cardiac Imaging and Diagnostics (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Travel-related health issues (4 papers), Immunotherapy and Immune Responses (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Pharmaceutical Science (275 citations), Dermatology (320 citations), Cell Biology (365 citations), Biochemistry (113 citations) and Food Science (343 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, Annals of Noninvasive Electrocardiology, Tissue Engineering and Journal of Machine Learning Research.

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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