Kenneth G. Paradiso

983 total citations
18 papers, 799 citations indexed

About

Kenneth G. Paradiso is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kenneth G. Paradiso has authored 18 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Kenneth G. Paradiso's work include Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Neural dynamics and brain function (5 papers). Kenneth G. Paradiso is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Neural dynamics and brain function (5 papers). Kenneth G. Paradiso collaborates with scholars based in United States and Ukraine. Kenneth G. Paradiso's co-authors include Joe Henry Steinbach, Jessie Zhang, Paul Brehm, Simon Halegoua, Dawn Shepherd, Gabriella D’Arcangelo, Gail Mandel, Raja Mohan, Lei Xue and Ling-Gang Wu and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Kenneth G. Paradiso

18 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth G. Paradiso United States 12 574 407 70 58 56 18 799
Ilse Riebe Sweden 13 453 0.8× 491 1.2× 170 2.4× 63 1.1× 123 2.2× 13 942
Thu Jennifer Ngo‐Anh United States 7 621 1.1× 538 1.3× 183 2.6× 37 0.6× 86 1.5× 13 922
Morgane Lemasson Canada 11 229 0.4× 342 0.8× 68 1.0× 31 0.5× 32 0.6× 19 931
Naofumi Uesaka Japan 19 440 0.8× 578 1.4× 215 3.1× 32 0.6× 51 0.9× 37 1.0k
Stan T. Nakanishi Canada 14 190 0.3× 292 0.7× 70 1.0× 51 0.9× 55 1.0× 16 525
Sandra M. Holley United States 15 424 0.7× 729 1.8× 236 3.4× 43 0.7× 44 0.8× 23 1.0k
Ivanova Ea Russia 14 381 0.7× 387 1.0× 81 1.2× 21 0.4× 121 2.2× 90 744
Kazuhiko Narita Japan 16 340 0.6× 431 1.1× 115 1.6× 32 0.6× 66 1.2× 32 817
Se Joon Choi United States 15 500 0.9× 703 1.7× 294 4.2× 62 1.1× 130 2.3× 22 1.2k
Laura C. Andreae United Kingdom 15 307 0.5× 265 0.7× 149 2.1× 43 0.7× 29 0.5× 26 647

Countries citing papers authored by Kenneth G. Paradiso

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth G. Paradiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth G. Paradiso. 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 Kenneth G. Paradiso. The network helps show where Kenneth G. Paradiso may publish in the future.

Co-authorship network of co-authors of Kenneth G. Paradiso

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

All Works

18 of 18 papers shown
1.
Pang, Zhiping P., et al.. (2020). Presynaptic Calcium Channel Open Probability and Changes in Calcium Influx Throughout the Action Potential Determined Using AP-Waveforms. Frontiers in Synaptic Neuroscience. 12. 17–17. 12 indexed citations
2.
Moore, Jennifer C., et al.. (2020). Characterization hiPSC-derived neural progenitor cells and neurons to investigate the role of NOS1AP isoforms in human neuron dendritogenesis. Molecular and Cellular Neuroscience. 109. 103562–103562. 3 indexed citations
3.
Lee, Christian, et al.. (2019). Opposing Influence of Sensory and Motor Cortical Input on Striatal Circuitry and Choice Behavior. Current Biology. 29(8). 1313–1323.e5. 17 indexed citations
4.
5.
Paradiso, Kenneth G., et al.. (2016). Neurotransmitter Release Can Be Stabilized by a Mechanism That Prevents Voltage Changes Near the End of Action Potentials from Affecting Calcium Currents. Journal of Neuroscience. 36(45). 11559–11572. 11 indexed citations
6.
Carlson, Aaron L., Neal K. Bennett, Nicola L. Francis, et al.. (2016). Generation and transplantation of reprogrammed human neurons in the brain using 3D microtopographic scaffolds. Nature Communications. 7(1). 10862–10862. 99 indexed citations
7.
Paradiso, Kenneth G. & Ling‐Gang Wu. (2009). Small voltage changes at nerve terminals travel up axons to affect action potential initiation. Nature Neuroscience. 12(5). 541–543. 17 indexed citations
8.
Paradiso, Kenneth G., Wei Wu, & Ling‐Gang Wu. (2007). Methods for Patch Clamp Capacitance Recordings from the Calyx. Journal of Visualized Experiments. 1 indexed citations
9.
Paradiso, Kenneth G., Weitiao Wu, & Ling‐Gang Wu. (2007). Methods for Patch Clamp Capacitance Recordings from the Calyx. Journal of Visualized Experiments. 244–244. 4 indexed citations
10.
Wu, Xin-Sheng, Lei Xue, Raja Mohan, et al.. (2007). The Origin of Quantal Size Variation: Vesicular Glutamate Concentration Plays a Significant Role. Journal of Neuroscience. 27(11). 3046–3056. 87 indexed citations
11.
Paradiso, Kenneth G. & Joe Henry Steinbach. (2003). Nicotine is Highly Effective at Producing Desensitization of Rat α4β2 Neuronal Nicotinic Receptors. The Journal of Physiology. 553(3). 857–871. 86 indexed citations
12.
Paradiso, Kenneth G., Jessie Zhang, & Joe Henry Steinbach. (2001). The C Terminus of the Human Nicotinic α4β2 Receptor Forms a Binding Site Required for Potentiation by an Estrogenic Steroid. Journal of Neuroscience. 21(17). 6561–6568. 115 indexed citations
13.
Paradiso, Kenneth G., et al.. (2000). Steroid Inhibition of Rat Neuronal Nicotinic α4β2 Receptors Expressed in HEK 293 Cells. Molecular Pharmacology. 58(2). 341–351. 63 indexed citations
14.
Paradiso, Kenneth G., et al.. (2000). Steroid Inhibition of Rat Neuronal Nicotinic α4β2 Receptors Expressed in HEK 293 Cells. Molecular Pharmacology. 58(2). 341–351. 4 indexed citations
15.
Paradiso, Kenneth G., et al.. (1999). Ligand Binding and Activation of Rat Nicotinic α4β2 Receptors Stably Expressed in HEK293 Cells. Molecular Pharmacology. 55(1). 58–66. 58 indexed citations
16.
Paradiso, Kenneth G., et al.. (1999). Ligand Binding and Activation of Rat Nicotinic α4β2 Receptors Stably Expressed in HEK293 Cells. Molecular Pharmacology. 55(1). 58–66. 5 indexed citations
17.
Paradiso, Kenneth G. & Paul Brehm. (1998). Long-Term Desensitization of Nicotinic Acetylcholine Receptors Is Regulated via Protein Kinase A-Mediated Phosphorylation. Journal of Neuroscience. 18(22). 9227–9237. 65 indexed citations
18.
D’Arcangelo, Gabriella, Kenneth G. Paradiso, Dawn Shepherd, et al.. (1993). Neuronal growth factor regulation of two different sodium channel types through distinct signal transduction pathways. The Journal of Cell Biology. 122(4). 915–921. 108 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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