Dani Brunner

3.8k citations
55 papers · 3.1k · h-index 28

Impact in

Papers in

Dani Brunner

55 papers receiving 3.0k citations

Peers

Dani Brunner
Comparison fields: 5 of 143
  • Cellular and Molecular Neuroscience 1.4k
  • Behavioral Neuroscience 220
  • Biological Psychiatry 114
  • Cognitive Neuroscience 743
  • Music 84
Replace Eleanor H. Simpson with:
Eleanor H. Simpson United States
Daniela Brunner United States
Jeffrey Colm Glennon Netherlands
Yuanye Ma China
Valérie Doyère France
Jill L. Silverman United States
Ethan S. Bromberg-Martin United States
Marshall G. Hussain Shuler United States
J. Wayne Aldridge United States
Yukiori Goto Japan
Dani Brunner relative to Eleanor H. Simpson United States Eleanor H. Simpson's profile →
Citations per field
00.5×2×2.7×
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-authors

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

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998705
2 2012354
3 1997201
4 1999169
5 2000154
6 2013109
7 199298
8 200869
9 201567
10 201162
11 200759
12 201053
13 200352
14 200250
15 199746
16 200246
17 201145
18 201340
19 201139
20 201639

About Dani Brunner

Dani Brunner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Developmental and Educational Psychology, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Genetic Neurodegenerative Diseases (14 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Music Perception (9 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Neural dynamics and brain function (6 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Behavioral Neuroscience (220 citations), Biological Psychiatry (114 citations), Cognitive Neuroscience (743 citations) and Music (84 citations). Dani Brunner has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include René Hen, Sylvie Ramboz, John Gibbon, Djamel Aït Amara, Pierre Ulrich Blier, Ronald S. Oosting, Monica Mendelsohn, Hank F. Kung, J. John Mann and Alex Kacelnik. Their work appears in journals such as PLoS Currents, Journal of Medicinal Chemistry, Behavioural Processes, Animal Behaviour and PLoS ONE.

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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