Brandon Pekarek

444 total citations
10 papers, 235 citations indexed

About

Brandon Pekarek is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Neurology. According to data from OpenAlex, Brandon Pekarek has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Sensory Systems and 4 papers in Neurology. Recurrent topics in Brandon Pekarek's work include Olfactory and Sensory Function Studies (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Brandon Pekarek is often cited by papers focused on Olfactory and Sensory Function Studies (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Brandon Pekarek collaborates with scholars based in United States and Russia. Brandon Pekarek's co-authors include Benjamin R. Arenkiel, Patrick J. Hunt, Burak Tepe, Matthew C. Hill, James F. Martin, Thomas J. Martin, Kevin Ung, Benjamin Deneen, Gary Liu and Brittney Lozzi and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Genes & Development.

In The Last Decade

Brandon Pekarek

10 papers receiving 233 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brandon Pekarek 93 74 61 56 33 10 235
Ryang Kim 94 1.0× 158 2.1× 43 0.7× 31 0.6× 49 1.5× 9 261
Kevin Ung 78 0.8× 156 2.1× 71 1.2× 93 1.7× 50 1.5× 13 337
Gina Devau 109 1.2× 94 1.3× 90 1.5× 101 1.8× 11 0.3× 19 261
Elizabeth Hanson 84 0.9× 217 2.9× 72 1.2× 35 0.6× 45 1.4× 11 302
Elizabeth P. Lackey 157 1.7× 141 1.9× 170 2.8× 68 1.2× 35 1.1× 13 415
Christopher E. Vaaga 74 0.8× 229 3.1× 49 0.8× 93 1.7× 39 1.2× 11 327
Paolo Spaiardi 191 2.1× 157 2.1× 55 0.9× 61 1.1× 41 1.2× 21 389
Tiina‐Kaisa Kukko‐Lukjanov 135 1.5× 155 2.1× 31 0.5× 68 1.2× 34 1.0× 18 336
S. Andrew Shuster 125 1.3× 165 2.2× 28 0.5× 26 0.5× 17 0.5× 13 393
Hsiu‐Chun Chuang 159 1.7× 96 1.3× 25 0.4× 11 0.2× 37 1.1× 10 351

Countries citing papers authored by Brandon Pekarek

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Pekarek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Pekarek

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Pekarek. A scholar is included among the top collaborators of Brandon Pekarek 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 Brandon Pekarek. Brandon Pekarek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wu, Timothy, Hui Ye, Caiwei Guo, et al.. (2023). Tau polarizes an aging transcriptional signature to excitatory neurons and glia. eLife. 12. 7 indexed citations
2.
Ortiz‐Guzman, Joshua, Sean W. Dooling, Stephen J. Moss, et al.. (2022). Activation of basal forebrain-to-lateral habenula circuitry drives reflexive aversion and suppresses feeding behavior. Scientific Reports. 12(1). 22044–22044. 5 indexed citations
3.
Hunt, Patrick J., et al.. (2022). Co-transmitting neurons in the lateral septal nucleus exhibit features of neurotransmitter switching. IBRO Neuroscience Reports. 12. 390–398. 5 indexed citations
4.
Pekarek, Brandon, Brittney Lozzi, Timothy Wu, et al.. (2022). Oxytocin signaling is necessary for synaptic maturation of adult-born neurons. Genes & Development. 36(21-24). 1100–1118. 8 indexed citations
5.
Ung, Kevin, Teng-Wei Huang, Brittney Lozzi, et al.. (2021). Olfactory bulb astrocytes mediate sensory circuit processing through Sox9 in the mouse brain. Nature Communications. 12(1). 5230–5230. 29 indexed citations
6.
Ung, Kevin, Burak Tepe, Brandon Pekarek, Benjamin R. Arenkiel, & Benjamin Deneen. (2020). Parallel astrocyte calcium signaling modulates olfactory bulb responses. Journal of Neuroscience Research. 98(8). 1605–1618. 19 indexed citations
7.
Pekarek, Brandon, Patrick J. Hunt, & Benjamin R. Arenkiel. (2020). Oxytocin and Sensory Network Plasticity. Frontiers in Neuroscience. 14. 30–30. 25 indexed citations
8.
Liu, Gary, Emmanouil Froudarakis, Jay Patel, et al.. (2019). Target specific functions of EPL interneurons in olfactory circuits. Nature Communications. 10(1). 3369–3369. 24 indexed citations
9.
Tepe, Burak, Matthew C. Hill, Brandon Pekarek, et al.. (2018). Single-Cell RNA-Seq of Mouse Olfactory Bulb Reveals Cellular Heterogeneity and Activity-Dependent Molecular Census of Adult-Born Neurons. Cell Reports. 25(10). 2689–2703.e3. 98 indexed citations
10.
Herman, Isabella, Zhandong Liu, Aiden Eblimit, et al.. (2018). POU6f1 Mediates Neuropeptide-Dependent Plasticity in the Adult Brain. Journal of Neuroscience. 38(6). 1443–1461. 15 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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