Dani Brunner

3.8k citations
51 papers · 2.6k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Dani Brunner

51 papers receiving 2.6k citations

Hit Papers

Serotonin receptor 1A knockout: An animal model of anxiety-related disorder 1998 · 638 citations
6381998202620072016200400600

Peers

Dani Brunner
Comparison fields: 5 of 133
  • Cellular and Molecular Neuroscience 1.3k
  • Behavioral Neuroscience 212
  • Biological Psychiatry 109
  • Cognitive Neuroscience 637
  • Music 71
Replace Eleanor H. Simpson with:
Eleanor H. Simpson United States
Daniela Brunner United States
Jeffrey Glennon Netherlands
Karen E. Stevens United States
Ethan S. Bromberg-Martin United States
Patricia Tueting United States
Sheree F. Logue United States
Ryan D. Ward United States
Marshall G. Hussain Shuler United States
Philipp J. Kraemer United States
Dani Brunner relative to Eleanor H. Simpson United States Eleanor H. Simpson's profile →
Citations per field
00.5×1.5×2.3×
Eleanor H. Simpson · 1×
Citations per year

Countries citing papers authored by Dani Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Dani Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201610
2 201559
3 201414
4 201423
5 201393
6 20127
7 201118
8 201138
9 201023
10 201054
11 200928
12 200759
13 200344
14 200245
15 2000141
16 19991
17 1999138
18 199912
19 1997179
20 199422

About Dani Brunner

Dani Brunner is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience, General Decision Sciences, Cognitive Neuroscience and Small Animals, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Genetic Neurodegenerative Diseases (12 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Neuroscience and Music Perception (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Neural dynamics and brain function (5 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (212 citations), Biological Psychiatry (109 citations), Cognitive Neuroscience (637 citations) and Music (71 citations). Dani Brunner has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include René Hen, Sylvie Ramboz, Djamel Aït Amara, Hank F. Kung, Monica Mendelsohn, John Gibbon, J. John Mann, Ronald S. Oosting, Pierre Blier and Alex Kacelnik. Their work appears in journals such as PLoS Currents, Journal of Medicinal Chemistry, Animal Behaviour, Behavioural Processes and European Journal of Pharmacology.

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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