Daniela Brunert

1.0k total citations
19 papers, 729 citations indexed

About

Daniela Brunert is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Daniela Brunert has authored 19 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sensory Systems, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Nutrition and Dietetics. Recurrent topics in Daniela Brunert's work include Olfactory and Sensory Function Studies (16 papers), Biochemical Analysis and Sensing Techniques (11 papers) and Neurobiology and Insect Physiology Research (9 papers). Daniela Brunert is often cited by papers focused on Olfactory and Sensory Function Studies (16 papers), Biochemical Analysis and Sensing Techniques (11 papers) and Neurobiology and Insect Physiology Research (9 papers). Daniela Brunert collaborates with scholars based in Germany, United States and Austria. Daniela Brunert's co-authors include Markus Rothermel, Matt Wachowiak, Michael N. Economo, John A. White, Elizabeth A. Corey, Michelle Fennen, Thomas Pap, Barry W. Ache, Daniel W. Wesson and Berno Dankbar and has published in prestigious journals such as Nature Medicine, Neuron and Journal of Neuroscience.

In The Last Decade

Daniela Brunert

19 papers receiving 721 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Brunert Germany 13 344 278 235 166 101 19 729
Emi Kiyokage Japan 15 350 1.0× 329 1.2× 281 1.2× 178 1.1× 73 0.7× 28 930
Ina B. Wanner United States 18 677 2.0× 262 0.9× 381 1.6× 210 1.3× 78 0.8× 20 1.3k
Denise Greenwood New Zealand 19 198 0.6× 506 1.8× 333 1.4× 94 0.6× 64 0.6× 20 1.1k
Koshi Murata Japan 16 200 0.6× 213 0.8× 145 0.6× 116 0.7× 29 0.3× 37 630
Richard Pellegrino United States 11 331 1.0× 324 1.2× 400 1.7× 45 0.3× 69 0.7× 21 889
Lance Zirpel United States 14 292 0.8× 329 1.2× 210 0.9× 118 0.7× 32 0.3× 22 635
Conor M. Stack United States 9 396 1.2× 280 1.0× 221 0.9× 118 0.7× 21 0.2× 10 625
Stéphanie Ventéo France 17 217 0.6× 180 0.6× 284 1.2× 25 0.2× 141 1.4× 35 669
Angela Pignatelli Italy 15 378 1.1× 213 0.8× 297 1.3× 81 0.5× 41 0.4× 26 719
Jinghui Xie China 14 533 1.5× 595 2.1× 1.2k 5.1× 84 0.5× 429 4.2× 20 1.9k

Countries citing papers authored by Daniela Brunert

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Brunert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Brunert

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Brunert. A scholar is included among the top collaborators of Daniela Brunert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Brunert. Daniela Brunert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Rothermel, Markus, et al.. (2024). Olfactory deficits in aging and Alzheimer’s—spotlight on inhibitory interneurons. Frontiers in Neuroscience. 18. 1503069–1503069. 1 indexed citations
2.
Brunert, Daniela, et al.. (2023). The anterior olfactory nucleus revisited – An emerging role for neuropathological conditions?. Progress in Neurobiology. 228. 102486–102486. 11 indexed citations
3.
Brunert, Daniela, et al.. (2022). Functional role of the anterior olfactory nucleus in sensory information processing. 28(3). 169–175. 4 indexed citations
4.
Brunert, Daniela & Markus Rothermel. (2020). Extrinsic neuromodulation in the rodent olfactory bulb. Cell and Tissue Research. 383(1). 507–524. 34 indexed citations
5.
Brunert, Daniela, et al.. (2020). Dynamic Impairment of Olfactory Behavior and Signaling Mediated by an Olfactory Corticofugal System. Journal of Neuroscience. 40(38). 7269–7285. 16 indexed citations
6.
Brunert, Daniela, et al.. (2020). Input dependent modulation of olfactory bulb activity by HDB GABAergic projections. Scientific Reports. 10(1). 10696–10696. 15 indexed citations
7.
Brunert, Daniela & Markus Rothermel. (2019). Neuromodulation of early sensory processing in the olfactory system. 25(1). 25–37. 2 indexed citations
8.
Minovi, Amir, et al.. (2017). Isolation, culture optimization and functional characterization of stem cell neurospheres from mouse neonatal olfactory bulb and epithelium. European Archives of Oto-Rhino-Laryngology. 274(8). 3071–3085. 6 indexed citations
9.
Brunert, Daniela, Yusuke Tsuno, Markus Rothermel, Michael T. Shipley, & Matt Wachowiak. (2016). Cell-Type-Specific Modulation of Sensory Responses in Olfactory Bulb Circuits by Serotonergic Projections from the Raphe Nuclei. Journal of Neuroscience. 36(25). 6820–6835. 41 indexed citations
10.
Dankbar, Berno, Michelle Fennen, Daniela Brunert, et al.. (2015). Myostatin is a direct regulator of osteoclast differentiation and its inhibition reduces inflammatory joint destruction in mice. Nature Medicine. 21(9). 1085–1090. 194 indexed citations
11.
Gee, James M, Nathan Smith, Fernando R. Fernandez, et al.. (2014). Imaging Activity in Neurons and Glia with a Polr2a-Based and Cre-Dependent GCaMP5G-IRES-tdTomato Reporter Mouse. Neuron. 83(5). 1058–1072. 101 indexed citations
12.
Rothermel, Markus, et al.. (2013). Transgene Expression in Target-Defined Neuron Populations Mediated by Retrograde Infection with Adeno-Associated Viral Vectors. Journal of Neuroscience. 33(38). 15195–15206. 90 indexed citations
13.
Wachowiak, Matt, Michael N. Economo, Daniela Brunert, et al.. (2013). Optical Dissection of Odor Information ProcessingIn VivoUsing GCaMPs Expressed in Specified Cell Types of the Olfactory Bulb. Journal of Neuroscience. 33(12). 5285–5300. 97 indexed citations
14.
Ukhanov, Kirill, Daniela Brunert, Elizabeth A. Corey, & Barry W. Ache. (2011). Phosphoinositide 3-Kinase-Dependent Antagonism in Mammalian Olfactory Receptor Neurons. Journal of Neuroscience. 31(1). 273–280. 35 indexed citations
15.
Brunert, Daniela, et al.. (2010). PI3K -Dependent Signaling in Mouse Olfactory Receptor Neurons. Chemical Senses. 35(4). 301–308. 16 indexed citations
16.
Brunert, Daniela, Stefan Kurtenbach, Sonnur Işık, et al.. (2009). Odorant-Dependent Generation of Nitric Oxide in Mammalian Olfactory Sensory Neurons. PLoS ONE. 4(5). e5499–e5499. 19 indexed citations
17.
Rothermel, Markus, et al.. (2009). Advanced tracing tools: functional neuronal expression of virally encoded fluorescent calcium indicator proteins. Journal of NeuroVirology. 15(5-6). 458–464. 6 indexed citations
18.
Ukhanov, Kirill, et al.. (2009). Inhibitory Odorant Signaling in Mammalian Olfactory Receptor Neurons. Journal of Neurophysiology. 103(2). 1114–1122. 27 indexed citations
19.
Neuhaus, Eva M., Anastasia Mashukova, Daniela Brunert, et al.. (2008). New Insight into Stimulus-Induced Plasticity of the Olfactory Epithelium in Mus musculus by Quantitative Proteomics. Journal of Proteome Research. 7(4). 1594–1605. 14 indexed citations

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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