Ariel Agmon

4.0k total citations · 1 hit paper
26 papers, 3.1k citations indexed

About

Ariel Agmon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ariel Agmon has authored 26 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Ariel Agmon's work include Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (17 papers) and Photoreceptor and optogenetics research (11 papers). Ariel Agmon is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Neuropharmacology Research (17 papers) and Photoreceptor and optogenetics research (11 papers). Ariel Agmon collaborates with scholars based in United States, Hungary and Bulgaria. Ariel Agmon's co-authors include Barry W. Connors, Hang Hu, Yunyong Ma, James T. Porter, Peter H. Mathers, LT Yang, E.G. Jones, Diane K. O’Dowd, Albert S. Berrebi and Edward G. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Ariel Agmon

26 papers receiving 3.0k citations

Hit Papers

Thalamocortical responses of mouse somatosensory (barrel)... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Agmon United States 21 2.7k 2.1k 651 357 157 26 3.1k
Zsolt Borhegyi Hungary 21 2.4k 0.9× 1.9k 0.9× 514 0.8× 203 0.6× 373 2.4× 33 2.9k
Caizhi Wu United States 11 2.3k 0.8× 1.9k 0.9× 785 1.2× 350 1.0× 368 2.3× 13 3.1k
Robin Tremblay United States 10 1.5k 0.6× 1.3k 0.6× 567 0.9× 169 0.5× 207 1.3× 10 2.2k
Clermont Beaulieu Canada 23 1.8k 0.6× 1.2k 0.6× 671 1.0× 266 0.7× 186 1.2× 30 2.3k
Matthew F. Nolan United Kingdom 27 2.0k 0.7× 1.6k 0.7× 846 1.3× 134 0.4× 186 1.2× 56 2.8k
Sandra J. Kuhlman United States 22 2.0k 0.7× 1.3k 0.6× 613 0.9× 216 0.6× 196 1.2× 33 2.7k
Gergely F. Turi United States 22 1.7k 0.6× 1.3k 0.6× 590 0.9× 200 0.6× 284 1.8× 35 2.5k
Tibor Koós United States 21 3.0k 1.1× 1.6k 0.8× 1.1k 1.8× 131 0.4× 119 0.8× 25 3.6k
Mario Galarreta United States 17 2.4k 0.9× 2.0k 0.9× 721 1.1× 80 0.2× 150 1.0× 21 2.9k
Desdemona Fricker France 20 1.3k 0.5× 926 0.4× 508 0.8× 162 0.5× 181 1.2× 31 1.7k

Countries citing papers authored by Ariel Agmon

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Agmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Agmon

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Agmon. A scholar is included among the top collaborators of Ariel Agmon 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 Ariel Agmon. Ariel Agmon 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.
Agmon, Ariel & Alison L. Barth. (2024). A brief history of somatostatin interneuron taxonomy or: how many somatostatin subtypes are there, really?. Frontiers in Neural Circuits. 18. 5 indexed citations
2.
Hu, Hang, et al.. (2023). Genetically Defined Subtypes of Somatostatin-Containing Cortical Interneurons. eNeuro. 10(8). ENEURO.0204–23.2023. 16 indexed citations
3.
Yu, Jianing, Hang Hu, Ariel Agmon, & Karel Svoboda. (2019). Recruitment of GABAergic Interneurons in the Barrel Cortex during Active Tactile Behavior. Neuron. 104(2). 412–427.e4. 116 indexed citations
4.
Chang, Kevin, et al.. (2018). A Novel Method for Training Mice in Visuo-Tactile 3-D Object Discrimination and Recognition. Frontiers in Behavioral Neuroscience. 12. 274–274. 2 indexed citations
5.
Hu, Hang & Ariel Agmon. (2016). Differential Excitation of Distally versus Proximally Targeting Cortical Interneurons by Unitary Thalamocortical Bursts. Journal of Neuroscience. 36(26). 6906–6916. 40 indexed citations
6.
Hu, Hang, John Z. Cavendish, & Ariel Agmon. (2013). Not all that glitters is gold: off-target recombination in the somatostatin–IRES-Cre mouse line labels a subset of fast-spiking interneurons. Frontiers in Neural Circuits. 7. 195–195. 94 indexed citations
7.
Ma, Yunyong, Hang Hu, & Ariel Agmon. (2012). Short-Term Plasticity of Unitary Inhibitory-to-Inhibitory Synapses Depends on the Presynaptic Interneuron Subtype. Journal of Neuroscience. 32(3). 983–988. 78 indexed citations
9.
Hu, Hang, Yunyong Ma, & Ariel Agmon. (2011). Submillisecond Firing Synchrony between Different Subtypes of Cortical Interneurons Connected Chemically But Not Electrically. Journal of Neuroscience. 31(9). 3351–3361. 69 indexed citations
10.
Ma, Yunyong, Hang Hu, Albert S. Berrebi, Peter H. Mathers, & Ariel Agmon. (2006). Distinct Subtypes of Somatostatin-Containing Neocortical Interneurons Revealed in Transgenic Mice. Journal of Neuroscience. 26(19). 5069–5082. 330 indexed citations
11.
Agmon, Ariel, et al.. (2003). The Role of the Hyperpolarization-Activated Cationic CurrentIhin the Timing of Interictal Bursts in the Neonatal Hippocampus. Journal of Neuroscience. 23(9). 3658–3668. 32 indexed citations
12.
Jin, Xiaoming, Hang Hu, Peter H. Mathers, & Ariel Agmon. (2003). Brain-Derived Neurotrophic Factor Mediates Activity-Dependent Dendritic Growth in Nonpyramidal Neocortical Interneurons in Developing Organotypic Cultures. Journal of Neuroscience. 23(13). 5662–5673. 120 indexed citations
13.
Jin, Xiaoming, Peter H. Mathers, Gábor Szabó, Zoya Katarova, & Ariel Agmon. (2001). Vertical Bias in Dendritic Trees of Non-pyramidal Neocortical Neurons Expressing GAD67-GFP In Vitro. Cerebral Cortex. 11(7). 666–678. 26 indexed citations
14.
Porter, James T., et al.. (2000). GABAergic Inhibition Suppresses Paroxysmal Network Activity in the Neonatal Rodent Hippocampus and Neocortex. Journal of Neuroscience. 20(23). 8822–8830. 65 indexed citations
15.
Agmon, Ariel, Greg S. Hollrigel, & Diane K. O’Dowd. (1996). Functional GABAergic Synaptic Connection in Neonatal Mouse Barrel Cortex. Journal of Neuroscience. 16(15). 4684–4695. 77 indexed citations
16.
Agmon, Ariel, et al.. (1995). Topological precision in the thalamic projection to neonatal mouse barrel cortex. Journal of Neuroscience. 15(1). 549–561. 158 indexed citations
17.
Agmon, Ariel, et al.. (1993). Organized growth of thalamocortical axons from the deep tier of terminations into layer IV of developing mouse barrel cortex. Journal of Neuroscience. 13(12). 5365–5382. 242 indexed citations
18.
Agmon, Ariel & Diane K. O’Dowd. (1992). NMDA receptor-mediated currents are prominent in the thalamocortical synaptic response before maturation of inhibition. Journal of Neurophysiology. 68(1). 345–349. 131 indexed citations
19.
Agmon, Ariel & Barry W. Connors. (1991). Thalamocortical responses of mouse somatosensory (barrel) cortexin vitro. Neuroscience. 41(2-3). 365–379. 556 indexed citations breakdown →
20.
Agmon, Ariel & Barry W. Connors. (1989). Repetitive burst-firing neurons in the deep layers of mouse somatosensory cortex. Neuroscience Letters. 99(1-2). 137–141. 96 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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