Brian Halabisky

3.3k total citations · 1 hit paper
13 papers, 2.6k citations indexed

About

Brian Halabisky is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Brian Halabisky has authored 13 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Brian Halabisky's work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neural dynamics and brain function (2 papers). Brian Halabisky is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neural dynamics and brain function (2 papers). Brian Halabisky collaborates with scholars based in United States and Sweden. Brian Halabisky's co-authors include Lennart Mucke, Gui-Qiu Yu, Nino Devidze, Jorge J. Palop, Binggui Sun, Li Gan, Yungui Zhou, Julie A. Harris, Iris Lo and Moustapha Cissé and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Brian Halabisky

13 papers receiving 2.5k citations

Hit Papers

Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Im... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Impairments Depend on Tau Levels in Multiple Mouse Models of Alzheimer's Disease
    2011 523 citations Erik D. Roberson, Brian Halabisky et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Halabisky United States 13 1.5k 1.2k 753 547 373 13 2.6k
Victoria Gonzales United States 16 2.0k 1.3× 957 0.8× 1.1k 1.5× 869 1.6× 256 0.7× 19 3.4k
Clorinda Arias Mexico 30 1.1k 0.7× 888 0.7× 1.1k 1.5× 359 0.7× 218 0.6× 83 2.7k
Guy Massicotte Canada 31 788 0.5× 1.4k 1.2× 1.0k 1.4× 462 0.8× 445 1.2× 76 2.6k
Peter Borghgraef Belgium 29 1.8k 1.2× 844 0.7× 1.1k 1.4× 551 1.0× 168 0.5× 43 2.7k
Mathieu Herman United States 16 1.8k 1.2× 917 0.8× 900 1.2× 565 1.0× 332 0.9× 19 2.8k
Daniel J. Whitcomb United Kingdom 24 970 0.7× 1.2k 1.0× 944 1.3× 368 0.7× 352 0.9× 38 2.5k
Amie L. Phinney Switzerland 17 1.7k 1.1× 560 0.5× 741 1.0× 533 1.0× 170 0.5× 17 2.3k
Antonio Sanz-Clemente United States 14 1.0k 0.7× 1.4k 1.1× 947 1.3× 297 0.5× 313 0.8× 17 2.2k
Tariq Ahmed Belgium 26 863 0.6× 947 0.8× 902 1.2× 350 0.6× 283 0.8× 57 2.3k
Linda Van Eldik United States 7 2.0k 1.3× 744 0.6× 945 1.3× 886 1.6× 175 0.5× 12 2.9k

Countries citing papers authored by Brian Halabisky

Since Specialization
Citations

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

Fields of papers citing papers by Brian Halabisky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Halabisky

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

All Works

13 of 13 papers shown
1.
Roberson, Erik D., Brian Halabisky, Jong W. Yoo, et al.. (2011). Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Impairments Depend on Tau Levels in Multiple Mouse Models of Alzheimer's Disease. Journal of Neuroscience. 31(2). 700–711. 523 indexed citations breakdown →
2.
Sun, Binggui, Yungui Zhou, Tiina M. Kauppinen, et al.. (2011). CX3CR1 Protein Signaling Modulates Microglial Activation and Protects against Plaque-independent Cognitive Deficits in a Mouse Model of Alzheimer Disease. Journal of Biological Chemistry. 286(37). 32713–32722. 212 indexed citations
3.
Harris, Julie A., Nino Devidze, Laure Verret, et al.. (2010). Transsynaptic Progression of Amyloid-β-Induced Neuronal Dysfunction within the Entorhinal-Hippocampal Network. Neuron. 68(3). 428–441. 246 indexed citations
4.
Harris, Julie A., Nino Devidze, Brian Halabisky, et al.. (2010). Many Neuronal and Behavioral Impairments in Transgenic Mouse Models of Alzheimer's Disease Are Independent of Caspase Cleavage of the Amyloid Precursor Protein. Journal of Neuroscience. 30(1). 372–381. 109 indexed citations
5.
Cissé, Moustapha, Brian Halabisky, Julie A. Harris, et al.. (2010). Reversing EphB2 depletion rescues cognitive functions in Alzheimer model. Nature. 469(7328). 47–52. 329 indexed citations
6.
Halabisky, Brian, Isabel Parada, Paul S. Buckmaster, & David A. Prince. (2010). Excitatory Input Onto Hilar Somatostatin Interneurons Is Increased in a Chronic Model of Epilepsy. Journal of Neurophysiology. 104(4). 2214–2223. 43 indexed citations
7.
Sun, Binggui, Brian Halabisky, Yungui Zhou, et al.. (2009). Imbalance between GABAergic and Glutamatergic Transmission Impairs Adult Neurogenesis in an Animal Model of Alzheimer's Disease. Cell stem cell. 5(6). 624–633. 176 indexed citations
8.
Li, Gang, Nga Bien‐Ly, Yaisa Andrews‐Zwilling, et al.. (2009). GABAergic Interneuron Dysfunction Impairs Hippocampal Neurogenesis in Adult Apolipoprotein E4 Knockin Mice. Cell stem cell. 5(6). 634–645. 215 indexed citations
9.
Sun, Binggui, Yungui Zhou, Brian Halabisky, et al.. (2008). Cystatin C-Cathepsin B Axis Regulates Amyloid Beta Levels and Associated Neuronal Deficits in an Animal Model of Alzheimer's Disease. Neuron. 60(2). 247–257. 186 indexed citations
10.
Sanchez-Mejia, Rene O., John W. Newman, Gui-Qiu Yu, et al.. (2008). Phospholipase A2 reduction ameliorates cognitive deficits in a mouse model of Alzheimer's disease. Nature Neuroscience. 11(11). 1311–1318. 289 indexed citations
11.
Halabisky, Brian, Fran Shen, John R. Huguenard, & David A. Prince. (2006). Electrophysiological Classification of Somatostatin-Positive Interneurons in Mouse Sensorimotor Cortex. Journal of Neurophysiology. 96(2). 834–845. 89 indexed citations
12.
Halabisky, Brian & Ben W. Strowbridge. (2003). γ-Frequency Excitatory Input to Granule Cells Facilitates Dendrodendritic Inhibition in the Rat Olfactory Bulb. Journal of Neurophysiology. 90(2). 644–654. 34 indexed citations
13.
Halabisky, Brian, et al.. (2000). Calcium Influx through NMDA Receptors Directly Evokes GABA Release in Olfactory Bulb Granule Cells. Journal of Neuroscience. 20(13). 5124–5134. 113 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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