Jay S. Coggan

1.5k total citations
37 papers, 1.1k citations indexed

About

Jay S. Coggan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jay S. Coggan has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in Jay S. Coggan's work include Neuroscience and Neuropharmacology Research (16 papers), Ion channel regulation and function (13 papers) and Neural dynamics and brain function (7 papers). Jay S. Coggan is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Ion channel regulation and function (13 papers) and Neural dynamics and brain function (7 papers). Jay S. Coggan collaborates with scholars based in United States, Switzerland and Saudi Arabia. Jay S. Coggan's co-authors include Darwin K. Berg, Zhongwei Zhang, William G. Conroy, Terrence J. Sejnowski, Jacques Paysan, Thomas M. Bartol, Pierre J. Magistretti, Daniel Keller, Mark H. Ellisman and Steven A. Prescott and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jay S. Coggan

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay S. Coggan United States 18 639 546 182 105 66 37 1.1k
Xavier A. Figueroa United States 10 500 0.8× 565 1.0× 128 0.7× 146 1.4× 127 1.9× 18 1.5k
Shu‐Ling Chiu United States 14 594 0.9× 614 1.1× 131 0.7× 280 2.7× 117 1.8× 18 1.4k
Sujit Kumar Sikdar India 20 596 0.9× 487 0.9× 221 1.2× 130 1.2× 56 0.8× 73 1.2k
Christopher P. Fall United States 19 821 1.3× 525 1.0× 168 0.9× 149 1.4× 85 1.3× 31 1.5k
Jim Berg United States 13 614 1.0× 500 0.9× 274 1.5× 403 3.8× 53 0.8× 14 1.3k
Ananya Mitra United States 8 420 0.7× 259 0.5× 58 0.3× 60 0.6× 122 1.8× 8 847
Marco Beato United Kingdom 28 982 1.5× 1.0k 1.8× 326 1.8× 91 0.9× 85 1.3× 44 1.8k
Jiuping Ding China 23 1.1k 1.7× 499 0.9× 37 0.2× 104 1.0× 24 0.4× 55 1.5k

Countries citing papers authored by Jay S. Coggan

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Coggan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay S. Coggan. 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 Jay S. Coggan. The network helps show where Jay S. Coggan may publish in the future.

Co-authorship network of co-authors of Jay S. Coggan

This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Coggan. A scholar is included among the top collaborators of Jay S. Coggan 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 Jay S. Coggan. Jay S. Coggan 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.
Coggan, Jay S., et al.. (2025). Breakdown and repair of metabolism in the aging brain. SHILAP Revista de lepidopterología. 3. 7 indexed citations
2.
Kanari, Lida, Ying Shi, Alexis Arnaudon, et al.. (2025). Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks. iScience. 28(7). 112928–112928. 3 indexed citations
3.
Coggan, Jay S., et al.. (2025). Seizure and redox rescue in a model of glucose transport deficiency. PLoS Computational Biology. 21(4). e1012959–e1012959. 1 indexed citations
4.
Abdellah, Marwan, Jay S. Coggan, Corrado Calı, et al.. (2022). Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings in Bioinformatics. 24(1). 5 indexed citations
5.
Logette, Emmanuelle, Jay S. Coggan, Daniel Keller, et al.. (2021). A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19. Frontiers in Public Health. 9. 695139–695139. 28 indexed citations
6.
Coggan, Jay S., et al.. (2021). A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation. Frontiers in Molecular Neuroscience. 14. 604559–604559. 3 indexed citations
7.
Coggan, Jay S., Daniel Keller, Henry Markram, Felix Schürmann, & Pierre J. Magistretti. (2019). Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling. Journal of Theoretical Biology. 487. 110123–110123. 3 indexed citations
8.
Coggan, Jay S., Daniel Keller, Corrado Calı, et al.. (2018). Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate. PLoS Computational Biology. 14(8). e1006392–e1006392. 57 indexed citations
9.
Coggan, Jay S., Corrado Calı, Daniel Keller, et al.. (2018). A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble. Frontiers in Neuroscience. 12. 664–664. 24 indexed citations
10.
Coggan, Jay S., Terrence J. Sejnowski, & Steven A. Prescott. (2015). Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations. Journal of Computational Neuroscience. 39(1). 17–28. 6 indexed citations
11.
Jolivet, Renaud, Jay S. Coggan, Igor Allaman, & Pierre J. Magistretti. (2015). Multi-timescale Modeling of Activity-Dependent Metabolic Coupling in the Neuron-Glia-Vasculature Ensemble. PLoS Computational Biology. 11(2). e1004036–e1004036. 80 indexed citations
12.
Stiefel, Klaus M., Benjamin Torben-Nielsen, & Jay S. Coggan. (2013). Proposed evolutionary changes in the role of myelin. Frontiers in Neuroscience. 7. 202–202. 22 indexed citations
13.
Coggan, Jay S., Gabriel Koch Ocker, Terrence J. Sejnowski, & Steven A. Prescott. (2011). Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models. Journal of Neural Engineering. 8(6). 65002–65002. 22 indexed citations
14.
Lopreore, Courtney L., Thomas M. Bartol, Jay S. Coggan, et al.. (2008). Computational Modeling of Three-Dimensional Electrodiffusion in Biological Systems: Application to the Node of Ranvier. Biophysical Journal. 95(6). 2624–2635. 61 indexed citations
15.
Coggan, Jay S., et al.. (2004). Age‐associated synapse elimination in mouse parasympathetic ganglia. Journal of Neurobiology. 60(2). 214–226. 18 indexed citations
16.
Conroy, William G., Zhaoping Liu, Qiang Nai, Jay S. Coggan, & Darwin K. Berg. (2003). PDZ-Containing Proteins Provide a Functional Postsynaptic Scaffold for Nicotinic Receptors in Neurons. Neuron. 38(5). 759–771. 81 indexed citations
17.
Zhang, Zhongwei, Jay S. Coggan, & Darwin K. Berg. (1996). Synaptic Currents Generated by Neuronal Acetylcholine Receptors Sensitive to α-Bungarotoxin. Neuron. 17(6). 1231–1240. 158 indexed citations
18.
Coggan, Jay S., et al.. (1994). Muscarinic inhibition of two potassium currents in guinea-pig prevertebral neurons: Differentiation by extracellular cesium. Neuroscience. 59(2). 349–361. 25 indexed citations
19.
Meehan, Alan G., et al.. (1993). CCKA receptors mediate slow depolarizations in cultured mammalian sympathetic neurons. European Journal of Pharmacology. 232(1). 65–69. 8 indexed citations
20.
Coggan, Jay S., Raphael Gruener, & David L. Kreulen. (1991). Electrophysiological properties and cholinergic responses in guinea-pig celiac ganglion neurons in primary culture. Journal of the Autonomic Nervous System. 34(2-3). 147–155. 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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