Daniëlle Copmans

662 citations
19 papers · 499 indexed · h-index 15

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 13
    • Lipid Membrane Structure and Behavior 2
    • Sphingolipid Metabolism and Signaling 2

Daniëlle Copmans

19 papers receiving 496 citations

Peers

Daniëlle Copmans
Comparison fields: 5 of 92
  • Cell Biology 179
  • Cellular and Molecular Neuroscience 176
  • Psychiatry and Mental health 79
  • Neurology 31
  • Pharmacology 59
Replace Uday P. Kundap with:
Uday P. Kundap Malaysia
Tatiana Afrikanova Belgium
Olivia Erin M Buenafe Belgium
María Lorena Cordero-Maldonado Luxembourg
Steven Cassar United States
Laura Roesler Nery Brazil
Muhammad Faheem Pakistan
Peter Illéš Czechia
Noriko Shinjyo Japan
Jean K. Tews United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniëlle Copmans

Since Specialization
Citations

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

Fields of papers citing papers by Daniëlle Copmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201585
2 201759
3 201655
4 202037
5 201837
6 201728
7 201725
8 201924
9 201722
10 202121
11 201520
12 201819
13 202117
14 202116
15 202115
16 20218
17 20224
18 20224
19
Zebrafish-based identification of apicularen A as an anticonvulsant compound from myxobacteria
20153

About Daniëlle Copmans

Daniëlle Copmans is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 499 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Neuroscience and Neuropharmacology Research (5 papers), Lipid Membrane Structure and Behavior (2 papers), Epilepsy research and treatment (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Malaria Research and Control (2 papers), Marine Sponges and Natural Products (2 papers) and Chemical synthesis and alkaloids (1 paper). The work is most often cited by research in Cell Biology (179 citations), Cellular and Molecular Neuroscience (176 citations), Psychiatry and Mental health (79 citations), Neurology (31 citations) and Pharmacology (59 citations). Daniëlle Copmans has collaborated with scholars based in Belgium, United Kingdom and Denmark. Frequent co-authors include Peter de Witte, Angéla Kecskés, Aleksandra Siekierska, Lieven Lagae, Alexander D. Crawford, Annelii Ny, Camila V. Esguerra, Borbála Hunyadi, Jo Sourbron and Berten Ceulemans. Their work appears in journals such as ACS Chemical Neuroscience, International Journal of Molecular Sciences, SLAS DISCOVERY, Scientific Reports and Neurochemical 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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