Daniela Brunner

5.1k citations
38 papers · 2.5k · h-index 25

Impact in

Papers in

Daniela Brunner

37 papers receiving 2.4k citations

Peers

Daniela Brunner
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 140
  • Biological Psychiatry 65
  • Behavioral Neuroscience 89
  • Cognitive Neuroscience 436
Replace Wei‐Dong Yao with:
Wei‐Dong Yao United States
Rebecca A. Piskorowski France
Tomás L. Falzone Argentina
Steven J. Clapcote United Kingdom
Rudi D’Hooge Belgium
Nagalingam Rajakumar Canada
Gregory P. Gasic United States
Vladimir V. Senatorov United States
Giuseppina Leo Italy
Ronald E. van Kesteren Netherlands
Daniela Brunner relative to Wei‐Dong Yao United States Wei‐Dong Yao's profile →
Citations per field
00.5×1.6×
Wei‐Dong Yao · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009258
2 2007243
3 2005203
4 2016148
5 1999136
6 2014134
7 1999130
8 2004129
9 200199
10 200797
11 200882
12 201380
13 201572
14 201461
15 200861
16 201557
17 201052
18 198851
19 200846
20 201742

About Daniela Brunner

Daniela Brunner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology and Social Psychology, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Genetic Neurodegenerative Diseases (6 papers), Receptor Mechanisms and Signaling (5 papers), Autism Spectrum Disorder Research (5 papers), Neuroendocrine regulation and behavior (4 papers), Muscle Physiology and Disorders (4 papers), Computational Drug Discovery Methods (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (140 citations), Biological Psychiatry (65 citations), Behavioral Neuroscience (89 citations) and Cognitive Neuroscience (436 citations). Daniela Brunner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Myron A. Hofer, Peter D. Balsam, Xiaoxi Zhuang, Barbara Cagniard, 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, Genes Brain & Behavior, PLoS ONE, Behavioral Neuroscience and Psychopharmacology.

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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