Daniel Cavey

438 citations
13 papers · 399 · h-index 8

Impact in

    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
    • Neurotransmitter Receptor Influence on Behavior
    • Acne and Rosacea Treatments and Effects

Papers in

Daniel Cavey

13 papers receiving 356 citations

Peers

Daniel Cavey
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 171
  • Dermatology 69
  • Molecular Biology 251
  • Anesthesiology and Pain Medicine 15
  • Pharmaceutical Science 16
Replace A.L. Rönnberg with:
A.L. Rönnberg Sweden
Kaoru Nakao Japan
Czesław Maśliński Poland
Ruchi Yadav India
D. Roemer Japan
Hiroko Obata Japan
Monika Dudra-Jastrzębska Poland
Renata Perlikowska Poland
Yoshifumi Ueda Japan
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Citations per field
00.5×9.9×
A.L. Rönnberg · 1×
Citations per year

Countries citing papers authored by Daniel Cavey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cavey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Cavey, 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 Daniel Cavey Line = papers co-authored together Daniel Cavey links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1978163
2 197758
3 199046
4 198037
5 199030
6 198327
7 19868
8 19908
9 19797
10 19936
11
The in vivo fate of topically applied dithranol in the skin of the hairless rat. A comparison of continuous and short contact application.
19854
12 19903
13 19872

About Daniel Cavey

Daniel Cavey is a scholar working on Molecular Biology, Dermatology, Immunology, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 13 papers that have together received 399 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (4 papers), Contact Dermatitis and Allergies (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Cell Adhesion Molecules Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advancements in Transdermal Drug Delivery (2 papers) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (171 citations), Dermatology (69 citations), Molecular Biology (251 citations), Anesthesiology and Pain Medicine (15 citations) and Pharmaceutical Science (16 citations). Daniel Cavey has collaborated with scholars based in France and Gabon. Frequent co-authors include Michel Lazdunski, J.M. Kamenka, P. Geneste, J.P. Vincent, Jean‐Pierre Vincent, Martine Bouclier, C.N. Hensby, Braham Shroot, Jacques Eustache and J. Gazith. Their work appears in journals such as Inflammation Research, Developmental Biology, Biochemical Pharmacology, Brain Research and Toxicon.

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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