Jason M. Christie

2.0k total citations
26 papers, 1.4k citations indexed

About

Jason M. Christie is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jason M. Christie has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Jason M. Christie's work include Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (7 papers) and Vestibular and auditory disorders (7 papers). Jason M. Christie is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (7 papers) and Vestibular and auditory disorders (7 papers). Jason M. Christie collaborates with scholars based in United States, Singapore and Japan. Jason M. Christie's co-authors include Craig E. Jahr, Gary L. Westbrook, Matthew JM Rowan, Michael A. Gaffield, D. T. Monaghan, Robert J. Wenthold, GL Westbrook, Audrey Bonnan, Ingo Helbig and Hannah Monyer and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Jason M. Christie

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason M. Christie United States 21 897 461 459 306 229 26 1.4k
José Miguel Blasco‐Ibáñez Spain 30 1.3k 1.4× 517 1.1× 528 1.2× 288 0.9× 346 1.5× 56 2.0k
Rostislav Tureček Czechia 20 1.3k 1.4× 976 2.1× 435 0.9× 209 0.7× 107 0.5× 35 1.7k
Christophe Blanchet France 18 523 0.6× 486 1.1× 301 0.7× 367 1.2× 238 1.0× 24 1.2k
Stephan D. Brenowitz United States 17 963 1.1× 466 1.0× 607 1.3× 327 1.1× 100 0.4× 22 1.4k
Shoshi Hazvi Israel 12 1.0k 1.2× 398 0.9× 681 1.5× 155 0.5× 182 0.8× 13 1.3k
Zhonghua Lu China 12 388 0.4× 349 0.8× 233 0.5× 196 0.6× 409 1.8× 33 1.3k
Peng Cao China 21 739 0.8× 583 1.3× 595 1.3× 164 0.5× 121 0.5× 54 1.7k
Yoshinori Sahara Japan 25 1.3k 1.5× 975 2.1× 376 0.8× 414 1.4× 209 0.9× 45 2.1k
Lisa Mapelli Italy 20 592 0.7× 368 0.8× 360 0.8× 260 0.8× 442 1.9× 32 1.3k
Thomas Munsch Germany 26 1.2k 1.4× 954 2.1× 474 1.0× 154 0.5× 134 0.6× 48 1.7k

Countries citing papers authored by Jason M. Christie

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Christie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Christie. 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 Jason M. Christie. The network helps show where Jason M. Christie may publish in the future.

Co-authorship network of co-authors of Jason M. Christie

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

All Works

20 of 20 papers shown
1.
Chao, Owen Y., Salil Saurav Pathak, George J Augustine, et al.. (2023). Social memory deficit caused by dysregulation of the cerebellar vermis. Nature Communications. 14(1). 6007–6007. 22 indexed citations
2.
Bonnan, Audrey, Matthew JM Rowan, Christopher A. Baker, M. McLean Bolton, & Jason M. Christie. (2021). Autonomous Purkinje cell activation instructs bidirectional motor learning through evoked dendritic calcium signaling. Nature Communications. 12(1). 2153–2153. 12 indexed citations
3.
Guerrero‐Given, Debbie, et al.. (2021). A deep learning approach to identifying immunogold particles in electron microscopy images. Scientific Reports. 11(1). 7771–7771. 20 indexed citations
4.
Gaffield, Michael A., Audrey Bonnan, & Jason M. Christie. (2019). Conversion of Graded Presynaptic Climbing Fiber Activity into Graded Postsynaptic Ca2+ Signals by Purkinje Cell Dendrites. Neuron. 102(4). 762–769.e4. 29 indexed citations
5.
Ozkan, Emin D., Massimiliano Aceti, Sabyasachi Maity, et al.. (2018). SYNGAP1 heterozygosity disrupts sensory processing by reducing touch-related activity within somatosensory cortex circuits. Nature Neuroscience. 21(12). 1–13. 73 indexed citations
6.
Rowan, Matthew JM, Audrey Bonnan, Ke Zhang, et al.. (2018). Graded Control of Climbing-Fiber-Mediated Plasticity and Learning by Inhibition in the Cerebellum. Neuron. 99(5). 999–1015.e6. 68 indexed citations
7.
Rowan, Michael J. & Jason M. Christie. (2017). Rapid State-Dependent Alteration in Kv3 Channel Availability Drives Flexible Synaptic Signaling Dependent on Somatic Subthreshold Depolarization. Cell Reports. 18(8). 2018–2029. 37 indexed citations
8.
Rowan, Matthew JM, et al.. (2017). Using c-kit to genetically target cerebellar molecular layer interneurons in adult mice. PLoS ONE. 12(6). e0179347–e0179347. 19 indexed citations
9.
Gaffield, Michael A. & Jason M. Christie. (2017). Movement Rate Is Encoded and Influenced by Widespread, Coherent Activity of Cerebellar Molecular Layer Interneurons. Journal of Neuroscience. 37(18). 4751–4765. 40 indexed citations
10.
Rowan, Matthew JM, et al.. (2016). Synapse-Level Determination of Action Potential Duration by K + Channel Clustering in Axons. Neuron. 91(2). 370–383. 52 indexed citations
11.
12.
Christie, Jason M., et al.. (2010). Ca2+-dependent enhancement of release by subthreshold somatic depolarization. Nature Neuroscience. 14(1). 62–68. 91 indexed citations
13.
Christie, Jason M. & Craig E. Jahr. (2009). Selective Expression of Ligand-Gated Ion Channels in L5 Pyramidal Cell Axons. Journal of Neuroscience. 29(37). 11441–11450. 45 indexed citations
14.
Christie, Jason M. & Craig E. Jahr. (2008). Dendritic NMDA Receptors Activate Axonal Calcium Channels. Neuron. 60(2). 298–307. 70 indexed citations
15.
Christie, Jason M. & Gary L. Westbrook. (2006). Lateral Excitation within the Olfactory Bulb. Journal of Neuroscience. 26(8). 2269–2277. 79 indexed citations
16.
Christie, Jason M. & Craig E. Jahr. (2006). Multivesicular Release at Schaffer Collateral–CA1 Hippocampal Synapses. Journal of Neuroscience. 26(1). 210–216. 112 indexed citations
17.
Christie, Jason M., et al.. (2005). Connexin36 Mediates Spike Synchrony in Olfactory Bulb Glomeruli. Neuron. 46(5). 761–772. 129 indexed citations
18.
Christie, Jason M. & GL Westbrook. (2003). Regulation of Backpropagating Action Potentials in Mitral Cell Lateral Dendrites by A-Type Potassium Currents. Journal of Neurophysiology. 89(5). 2466–2472. 52 indexed citations
19.
Christie, Jason M., Robert J. Wenthold, & D. T. Monaghan. (1999). Insulin Causes a Transient Tyrosine Phosphorylation of NR2A and NR2B NMDA Receptor Subunits in Rat Hippocampus. Journal of Neurochemistry. 72(4). 1523–1528. 90 indexed citations
20.
Brown, James, Heong‐Wai Tse, Donald A. Skifter, et al.. (1998). [3H]Homoquinolinate Binds to a Subpopulation of NMDA Receptors and to a Novel Binding Site. Journal of Neurochemistry. 71(4). 1464–1470. 23 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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