John R. Clay

1.9k total citations
69 papers, 1.5k citations indexed

About

John R. Clay is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, John R. Clay has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cellular and Molecular Neuroscience, 40 papers in Molecular Biology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in John R. Clay's work include Neuroscience and Neural Engineering (46 papers), Ion channel regulation and function (28 papers) and Neural dynamics and brain function (19 papers). John R. Clay is often cited by papers focused on Neuroscience and Neural Engineering (46 papers), Ion channel regulation and function (28 papers) and Neural dynamics and brain function (19 papers). John R. Clay collaborates with scholars based in United States, Canada and Ireland. John R. Clay's co-authors include Alvin Shrier, Louis J. DeFelice, Michael F. Shlesinger, David Paydarfar, Daniel B. Forger, Remy Dehaan, Richard M. Brochu, Narendra S. Goel, Leon Glass and Michael R. Guevara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

John R. Clay

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John R. Clay United States 21 742 729 511 488 427 69 1.5k
Teresa Ree Chay United States 23 524 0.7× 674 0.9× 756 1.5× 1.0k 2.1× 200 0.5× 76 2.0k
Fidel Santamarı́a United States 17 702 0.9× 546 0.7× 368 0.7× 197 0.4× 45 0.1× 39 1.5k
Peter Århem Sweden 25 1.0k 1.4× 1.1k 1.5× 269 0.5× 78 0.2× 273 0.6× 98 1.7k
A. A. Verveen Netherlands 12 300 0.4× 285 0.4× 230 0.5× 154 0.3× 90 0.2× 21 791
L. K. Kaczmarek United States 24 1.1k 1.5× 1.1k 1.6× 248 0.5× 70 0.1× 277 0.6× 41 2.5k
Alexey Brazhe Russia 24 707 1.0× 443 0.6× 340 0.7× 61 0.1× 73 0.2× 65 1.8k
Corey D. Acker United States 12 518 0.7× 138 0.2× 526 1.0× 154 0.3× 41 0.1× 17 791
A.L. Blatz United States 17 1.3k 1.8× 1.9k 2.6× 129 0.3× 87 0.2× 701 1.6× 23 2.3k
W.G. Gibson Australia 23 520 0.7× 412 0.6× 322 0.6× 166 0.3× 52 0.1× 94 1.4k
Jesús M. Cortés Spain 24 223 0.3× 447 0.6× 793 1.6× 183 0.4× 49 0.1× 105 1.6k

Countries citing papers authored by John R. Clay

Since Specialization
Citations

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

Fields of papers citing papers by John R. Clay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Clay. 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 John R. Clay. The network helps show where John R. Clay may publish in the future.

Co-authorship network of co-authors of John R. Clay

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Clay. A scholar is included among the top collaborators of John R. Clay 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 John R. Clay. John R. Clay 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.
Clay, John R., et al.. (2024). Ambiguous Clinical Presentations and Imaging Findings in Genetic Dilated Cardiomyopathy. JACC Case Reports. 29(23). 102821–102821. 1 indexed citations
3.
Clay, John R., Daniel B. Forger, & David Paydarfar. (2012). Ionic Mechanism Underlying Optimal Stimuli for Neuronal Excitation: Role of Na+ Channel Inactivation. PLoS ONE. 7(9). e45983–e45983. 14 indexed citations
4.
Paydarfar, David, Daniel B. Forger, & John R. Clay. (2006). Noisy Inputs and the Induction of On–Off Switching Behavior in a Neuronal Pacemaker. Journal of Neurophysiology. 96(6). 3338–3348. 86 indexed citations
5.
Clay, John R.. (2004). Axonal excitability revisited. Progress in Biophysics and Molecular Biology. 88(1). 59–90. 40 indexed citations
6.
Clay, John R. & Alan M. Kuzirian. (2002). Trafficking of axonal K+ channels: Potential role of Hsc70. Journal of Neuroscience Research. 67(6). 745–752. 11 indexed citations
7.
Clay, John R. & Alvin Shrier. (2002). . The Journal of Membrane Biology. 187(3). 213–223. 7 indexed citations
8.
Clay, John R. & Alvin Shrier. (2001). Action Potentials Occur Spontaneously in Squid Giant Axons with Moderately Alkaline Intracellular pH. Biological Bulletin. 201(2). 186–192. 8 indexed citations
9.
Mienville, Jean‐Marc, I. Maric, Dragan Maric, & John R. Clay. (1999). Developmental changes in K+ channel expression and electrical excitability in postnatal rat Cajal-Retzius cells. The Society for Neuroscience Abstracts. 25. 1019. 2 indexed citations
10.
Clay, John R. & Alan M. Kuzirian. (1999). Fluorescence Localization of K+ Channels in the Membrane of Squid Giant Axons. Biological Bulletin. 197(2). 231–232. 4 indexed citations
11.
Clay, John R., et al.. (1998). Effects of Divalent Cations on the E-4031-Sensitive Repolarization Current, IKr, in Rabbit Ventricular Myocytes. Biophysical Journal. 74(3). 1278–1285. 21 indexed citations
12.
Clay, John R.. (1996). Effects of Permeant Cations on K + Channel Gating in Nerve Axons Revisited. The Journal of Membrane Biology. 153(3). 195–201. 4 indexed citations
13.
Mienville, Jean‐Marc & John R. Clay. (1996). Effects of intracellular K+ and Rb+ on gating of embryonic rat telencephalon Ca(2+)-activated K+ channels. Biophysical Journal. 70(2). 778–785. 9 indexed citations
14.
Clay, John R., et al.. (1995). A quantitative description of the E-4031-sensitive repolarization current in rabbit ventricular myocytes. Biophysical Journal. 69(5). 1830–1837. 38 indexed citations
15.
Clay, John R.. (1995). Quaternary ammonium ion blockade of IK in nerve axons revisited. Open channel block vs. state independent block. The Journal of Membrane Biology. 147(1). 23–34. 9 indexed citations
16.
Clay, John R., et al.. (1994). Ionic mechanisms and nonlinear dynamics of embryonic chick heart cell aggregates. Progress in Biophysics and Molecular Biology. 61(3). 255–281. 19 indexed citations
17.
Clay, John R., et al.. (1994). A review of the effects of three cardioactive agents on the electrical activity from embryonic chick heart cell aggregates: TTX, ACh, and E-4031. Progress in Biophysics and Molecular Biology. 62(3). 185–202. 10 indexed citations
18.
Clay, John R., Richard M. Brochu, & Alvin Shrier. (1990). Phase resetting of embryonic chick atrial heart cell aggregates. Experiment and theory. Biophysical Journal. 58(3). 609–621. 18 indexed citations
19.
Clay, John R.. (1988). Lack of effect of internal fluoride ions on potassium channels in squid axons. Biophysical Journal. 53(4). 647–648. 16 indexed citations
20.
Clay, John R. & Michael F. Shlesinger. (1976). Theoretical model of the ionic mechanism of 1/f noise in nerve membrane. Biophysical Journal. 16(2). 121–136. 13 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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