J. Wépierre

73 papers receiving 634 citations

Peers

J. Wépierre
Comparison fields: 5 of 110
  • Pharmaceutical Science 186
  • Dermatology 141
  • Insect Science 72
  • Cellular and Molecular Neuroscience 87
  • Small Animals 33
Replace Caroline Baufeld with:
Caroline Baufeld United States
Howard Maibach United States
Jing Feng China
Jan Zielinski United States
Hélène Duplan France
Simone Hopfner Switzerland
K. Marenus United States
Vahid Ramezani Iran
Mary Ann Vasbinder Canada
Bruce K. Bernard United States
J. Wépierre relative to Caroline Baufeld United States Caroline Baufeld's profile →
Citations per field
00.5×6.6×
Caroline Baufeld · 1×
Citations per year

Countries citing papers authored by J. Wépierre

Since Specialization
Citations

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

Fields of papers citing papers by J. Wépierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199366
2 199438
3 198133
4 199233
5 198332
6 198730
7 199530
8 198422
9 198221
10 200920
11 200919
12 199318
13 199417
14 200016
15 197916
16 199516
17 198915
18 197315
19 198814
20 199511

About J. Wépierre

J. Wépierre is a scholar working on Dermatology, Molecular Biology, Pharmaceutical Science, Cellular and Molecular Neuroscience and Pharmacology, having authored 76 papers that have together received 698 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Dermatology and Skin Diseases (9 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Biochemical effects in animals (5 papers), Wound Healing and Treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Skin Protection and Aging (5 papers). The work is most often cited by research in Pharmaceutical Science (186 citations), Dermatology (141 citations), Insect Science (72 citations), Cellular and Molecular Neuroscience (87 citations) and Small Animals (33 citations). J. Wépierre has collaborated with scholars based in France and New Zealand. Frequent co-authors include Yves Cohen, C. Coudray‐Lucas, Alain Meybeck, J.-P. Marty, Frédéric Bonté, M. Seiller, Jean–Louis Grossiord, Lucas Antônio Miranda Ferreira, Michel Cormier and J. Benoît. Their work appears in journals such as International Journal of Cosmetic Science, Toxicology in Vitro, International Journal of Pharmaceutics, Cell Biology and Toxicology and Pflügers Archiv - European Journal of Physiology.

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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