John E. Chad

3.3k total citations · 1 hit paper
67 papers, 2.2k citations indexed

About

John E. Chad is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John E. Chad has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 23 papers in Molecular Biology and 19 papers in Cognitive Neuroscience. Recurrent topics in John E. Chad's work include Neural dynamics and brain function (15 papers), Ion channel regulation and function (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). John E. Chad is often cited by papers focused on Neural dynamics and brain function (15 papers), Ion channel regulation and function (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). John E. Chad collaborates with scholars based in United Kingdom, United States and Italy. John E. Chad's co-authors include Roger Eckert, Lars Sundström, Ashley K. Pringle, Fausto Iannotti, Geraint J. C. Wilde, P. John Seeley, Christopher M. Timperley, Simon R. Turner, Richard C. Foreman and John E.H. Tattersall and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Biochemical Journal.

In The Last Decade

John E. Chad

66 papers receiving 2.1k citations

Hit Papers

Inactivation of Ca channels 1984 2026 1998 2012 1984 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
John E. Chad United Kingdom 19 1.4k 1.4k 379 196 131 67 2.2k
Jyothi Arikkath United States 19 1.6k 1.1× 1.4k 1.0× 231 0.6× 169 0.9× 344 2.6× 39 2.6k
Markus von Kienlin Germany 30 585 0.4× 301 0.2× 425 1.1× 291 1.5× 292 2.2× 82 3.0k
S. Brian Andrews United States 25 1.3k 0.9× 1.0k 0.7× 61 0.2× 72 0.4× 347 2.6× 47 2.2k
W. Melzer Germany 28 2.1k 1.4× 1.5k 1.0× 896 2.4× 36 0.2× 223 1.7× 71 2.7k
Sebastian Bauer Germany 32 939 0.7× 987 0.7× 194 0.5× 384 2.0× 178 1.4× 94 3.5k
Gavriel David United States 23 1.0k 0.7× 852 0.6× 66 0.2× 80 0.4× 231 1.8× 48 1.7k
James T. Russell United States 37 2.3k 1.6× 2.2k 1.5× 179 0.5× 209 1.1× 487 3.7× 68 4.5k
Detlev Schild Germany 36 767 0.5× 1.8k 1.3× 41 0.1× 207 1.1× 108 0.8× 103 3.3k
Richard Bertram United States 40 2.0k 1.4× 931 0.7× 178 0.5× 888 4.5× 253 1.9× 171 5.1k
Antonius M.J. VanDongen United States 33 2.5k 1.7× 1.9k 1.3× 736 1.9× 283 1.4× 188 1.4× 62 3.3k

Countries citing papers authored by John E. Chad

Since Specialization
Citations

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

Fields of papers citing papers by John E. Chad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. Chad

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Chad. A scholar is included among the top collaborators of John E. Chad 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 E. Chad. John E. Chad 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.
Chapman, Richard T., Adam S. Wyatt, Emma Springate, et al.. (2020). Quantitative and correlative extreme ultraviolet coherent imaging of mouse hippocampal neurons at high resolution. Science Advances. 6(18). eaaz3025–eaaz3025. 30 indexed citations
2.
Boccaccio, Anna, Andrea Contestabile, Monica Moroni, et al.. (2018). Mechano-sensitization of mammalian neuronal networks through expression of the bacterial large-conductance mechanosensitive ion channel. Journal of Cell Science. 131(5). 18 indexed citations
3.
Turner, Simon R., John E. Chad, Matthew E. Price, et al.. (2011). Protection against nerve agent poisoning by a noncompetitive nicotinic antagonist. Toxicology Letters. 206(1). 105–111. 50 indexed citations
4.
Chambers, Paul, Mark E. Lutman, N.M. White, et al.. (2009). The biometric potential of transient otoacoustic emissions. International Journal of Biometrics. 1(3). 349–349. 16 indexed citations
5.
Brown, A.D., et al.. (2002). A large-scale simulation of the piriform cortex by a cell automaton-based network model. IEEE Transactions on Biomedical Engineering. 49(9). 921–935. 7 indexed citations
6.
Cuttle, Matthew F., et al.. (2002). 4,5‐diaminofluoroscein imaging of nitric oxide synthesis in crayfish terminal ganglia. Journal of Neurobiology. 53(3). 361–369. 18 indexed citations
7.
Cannon, Robert C., et al.. (1999). Event based neuron models for biological simulation: a model of the locomotion circuitry of the nematode C. elegans. ePrints Soton (University of Southampton). 5 indexed citations
8.
Sale, Elizabeth M., et al.. (1999). Role of ERK1/ERK2 and p70S6K pathway in insulin signalling of protein synthesis. FEBS Letters. 446(1). 122–126. 15 indexed citations
10.
Pringle, Ashley K., Fausto Iannotti, Geraint J. C. Wilde, et al.. (1997). Neuroprotection by both NMDA and non-NMDA receptor antagonists in in vitro ischemia. Brain Research. 755(1). 36–46. 137 indexed citations
11.
12.
Wild, A. E., et al.. (1995). Confocal imaging of calcium-ion activity in quail fibroblast: cultures expressing nicotinic acetylcholine-receptors. ePrints Soton (University of Southampton). 1 indexed citations
13.
Brownlee, D.J.A., et al.. (1995). DISTRIBUTION OF RYANODINE RECEPTOR ANTIBODY-BINDING IN FASCIOLA-HEPATICA. UCL Discovery (University College London). 1 indexed citations
14.
Chad, John E., et al.. (1995). Stimulation of endocytosis in mouse blastocysts by insulin: a quantitative morphological analysis. Reproduction. 105(1). 115–123. 21 indexed citations
15.
Chad, John E. & J.C. Yeats. (1986). Calcium fluxes activated during neurite spiking induced by bradykinin. ePrints Soton (University of Southampton). 6 indexed citations
16.
Chad, John E., et al.. (1985). Ca current inactivation is slowed in dialyzed snail neurons by the substitution of atp-gamma-s for internal atp. ePrints Soton (University of Southampton). 2 indexed citations
17.
Chad, John E., Joachim W. Deitmer, & Roger Eckert. (1984). Spatio-temporal characteristics of ca-2+ dispersal following its injection into aplysia neurons. ePrints Soton (University of Southampton). 2 indexed citations
18.
Eckert, Roger & John E. Chad. (1984). Inactivation of Ca channels. Progress in Biophysics and Molecular Biology. 44(3). 215–267. 529 indexed citations breakdown →
19.
Chad, John E., et al.. (1983). Kinetics of calcium current inactivation simulated with a heuristic model. ePrints Soton (University of Southampton). 1 indexed citations
20.
Eckert, Roger, Douglas A. Ewald, & John E. Chad. (1982). A single calcium-mediated process can account for both rapid and slow phases of inactivation exhibited by a single calcium conductance. ePrints Soton (University of Southampton). 1 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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