Daniela Brunner

5.0k citations
37 papers · 2.4k · h-index 24

Impact in

Papers in

Daniela Brunner

37 papers receiving 2.4k citations

Peers

Daniela Brunner
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 1.2k
  • Developmental Neuroscience 146
  • Biological Psychiatry 81
  • Behavioral Neuroscience 104
  • Cognitive Neuroscience 467
Replace Helen S. Bateup with:
Helen S. Bateup United States
Wei‐Dong Yao United States
Steven J. Clapcote United Kingdom
Rebecca A. Piskorowski France
Mustapha Riad Canada
Rudi D’Hooge Belgium
Tomás L. Falzone Argentina
Gregory P. Gasic United States
Ronald E. van Kesteren Netherlands
Nagalingam Rajakumar Canada
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Citations per field
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Helen S. Bateup · 1×
Citations per year

Countries citing papers authored by Daniela Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009257
2 2007242
3 2005202
4 2016145
5 1999136
6 2014132
7 1999131
8 2004128
9 200198
10 200796
11 200881
12 201378
13 201570
14 200861
15 201461
16 201555
17 201052
18 198851
19 200844
20 201742

About Daniela Brunner

Daniela Brunner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology and Physiology, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (6 papers), Genetic Neurodegenerative Diseases (6 papers), Autism Spectrum Disorder Research (5 papers), Computational Drug Discovery Methods (4 papers), Neuroendocrine regulation and behavior (4 papers), Muscle Physiology and Disorders (4 papers) and Skin and Cellular Biology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (146 citations), Biological Psychiatry (81 citations), Behavioral Neuroscience (104 citations) and Cognitive Neuroscience (467 citations). Daniela Brunner has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Myron A. Hofer, Peter D. Balsam, Barbara Cagniard, Xiaoxi Zhuang, Liliana Menalled, René Hen, Bassem F. El‐Khodor, Hen R, Nicole Edgar and Christina Leahy. Their work appears in journals such as Journal of Medicinal Chemistry, Behavioral Neuroscience, Psychopharmacology, Genes Brain & Behavior 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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