Éric Perrier

3.4k citations
88 papers · 2.8k · 1 hit paper · h-index 26

Impact in

Papers in

    • Skin Protection and Aging 9
    • melanin and skin pigmentation 5
    • Cellular Mechanics and Interactions 3

Éric Perrier

81 papers receiving 2.6k citations

Éric Perrier's Hit Papers

Nano-emulsion formulation using spontaneous emulsification: solvent, oil and surfactant optimisation 2004 · 741 citations
7410+7+14Years since publication200400600

Peers

Éric Perrier
Comparison fields: 5 of 161
  • Pharmaceutical Science 314
  • Dermatology 351
  • Cell Biology 391
  • Food Science 406
  • Biochemistry 124
Replace Sumeet Gupta with:
Sumeet Gupta India
August Bernd Germany
Guang Liang China
Ghanshyam Das Gupta India
Jingyuan Wen New Zealand
Xiaoyu Xu China
Chang‐Hun Huh South Korea
Yufeng Xia China
Jung-Im Na South Korea
Xiang Li China
Éric Perrier relative to Sumeet Gupta India Sumeet Gupta's profile →
Citations per field
00.5×2×3×4×4.6×
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 88 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 →
2004741
2 2003160
3 2005152
4 2005114
5 2010105
6 2006100
7 200692
8 200782
9 201280
10
Finding Optimal Bayesian Network Given a Super-Structure
200876
11 201370
12 200665
13 201164
14 200658
15 200654
16 200343
17 201241
18 201239
19 200935
20 200332

About Éric Perrier

Éric Perrier is a scholar working on Dermatology, Cell Biology, Internal Medicine, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 88 papers that have together received 2.8k indexed citations. Recurring topics across this work include Skin Protection and Aging (9 papers), Cardiac Imaging and Diagnostics (6 papers), melanin and skin pigmentation (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Travel-related health issues (4 papers), Cell Adhesion Molecules Research (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Pharmaceutical Science (314 citations), Dermatology (351 citations), Cell Biology (391 citations), Food Science (406 citations) and Biochemistry (124 citations). Éric Perrier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include S. Briançon, Kawthar Bouchemal, Hatem Fessi, Sylvianne Schnebert, Isabelle Bonnet, Odile Damour, Carine Nizard, Ahcène Boumendjel, Anne‐Marie Mariotte and Valérie André. Their work appears in journals such as International Journal of Cosmetic Science, Experimental Dermatology, The American Journal of Cardiology, 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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