Ann‐Cathrin Radesäter

926 citations
15 papers · 727 indexed · h-index 11

Ann‐Cathrin Radesäter

15 papers receiving 712 citations

Peers

Ann‐Cathrin Radesäter
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 264
  • Physiology 164
  • Neurology 52
  • Developmental Neuroscience 26
  • Molecular Biology 429
Replace Eva Jerning with:
Eva Jerning Sweden
Ruzhu Chen China
M. Wienrich Germany
Roberta Epis Italy
Jen Barnes United Kingdom
Matthew J. Hejna United States
Gaël Barthet France
Ji‐Heui Seo South Korea
Lauren G. Friedman United States
Pascal Kurosinski Switzerland
Ann‐Cathrin Radesäter relative to Eva Jerning Sweden Eva Jerning's profile →
Citations per field
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Eva Jerning · 1×
Citations per year

Countries citing papers authored by Ann‐Cathrin Radesäter

Since Specialization
Citations

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

Fields of papers citing papers by Ann‐Cathrin Radesäter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Cathrin Radesäter. 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 Ann‐Cathrin Radesäter. The network helps show where Ann‐Cathrin Radesäter may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 201417
2 20137
3
Population PKPD Modeling of BACE1 Inhibitor- Induced Reduction in Aβ Levels in vivo.
20121
4 20096
5 200515
6 200517
7 20047
8 2003460
9 200324
10 199144
11 198712
12 198712
13 198724
14 198667
15 198614

About Ann‐Cathrin Radesäter

Ann‐Cathrin Radesäter is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 15 papers that have together received 727 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Anesthesia and Neurotoxicity Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (264 citations), Physiology (164 citations) and Neurology (52 citations). Ann‐Cathrin Radesäter has collaborated with scholars based in Sweden, Switzerland and Brazil. Frequent co-authors include Christer Köhler, Stefan von Berg, Jesús Ávila, Eva Jerning, Alfredo Giménez-Cassina, Yafeng Xue, Sven Hellberg, José J. Lucas, Ratan V. Bhat and Yvonne Nilsson. Their work appears in journals such as Journal of Biological Chemistry, Neuroscience and Experimental Brain 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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