Anke van Spronsen

719 citations
7 papers · 606 indexed · 1 hit paper · h-index 5
Topics
Virus-based gene therapy research (3 papers)Glycosylation and Glycoproteins Research (2 papers)Pharmacological Effects and Assays (2 papers)
Partner nations
NetherlandsFranceSweden

In The Last Decade

Anke van Spronsen

7 papers receiving 586 citations

Hit Papers

Tissue distribution of beta 3-adrenergic receptor mRNA in...19932026200420151993100200300400

Peers

Anke van Spronsen
Comparison fields: 5 of 70
  • Physiology 369
  • Molecular Biology 266
  • Animal Science and Zoology 116
  • Cellular and Molecular Neuroscience 88
  • Epidemiology 78
Replace F. Lasnier with:
F. Lasnier France
D. Lacasa France
Kihachi Ohshima Japan
Elizabeth Donnelly United States
Barbara A. Cunningham United States
Marco A. Piñeyro United States
Chengjun Deng China
Johanna M. Lindquist Sweden
Sergio Parra United States
Annet B. Zuidhof Netherlands
Anke van Spronsen relative to F. Lasnier France F. Lasnier's profile →
Citations per field
00.5×2.8×
F. Lasnier · 1×
Citations per year

Countries citing papers authored by Anke van Spronsen

Since Specialization
Citations

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

Fields of papers citing papers by Anke van Spronsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke van Spronsen. 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 Anke van Spronsen. The network helps show where Anke van Spronsen may publish in the future.

Co-authorship network of co-authors of Anke van Spronsen

This figure shows the co-authorship network connecting the top 25 collaborators of Anke van Spronsen. A scholar is included among the top collaborators of Anke van Spronsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anke van Spronsen. Anke van Spronsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 4
3 32
4 28
5
Tissue distribution of beta 3-adrenergic receptor mRNA in man.breakdown →
442
6 90
7 8

About Anke van Spronsen

Anke van Spronsen is a scholar working on Hematology, Animal Science and Zoology and Small Animals, having authored 7 papers that have together received 606 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Physiology (369 citations), Behavioral Neuroscience (43 citations) and Animal Science and Zoology (116 citations). Anke van Spronsen has collaborated with scholars based in Netherlands, France and Sweden. Frequent co-authors include Stéphane Krief, A. Donny Strosberg, Peter Arner, Daniel Ricquier, Laurent J. Emorine, S. Raimbault, Fredrik Lönnqvist, Clara Nahmias, A. Donny Strosberg and Anton C. Martens. Their work appears in journals such as Journal of Clinical Investigation, Arteriosclerosis Thrombosis and Vascular Biology and European Journal of Biochemistry.

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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