Gregory D. Smith

4.2k total citations
116 papers, 3.0k citations indexed

About

Gregory D. Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gregory D. Smith has authored 116 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gregory D. Smith's work include Ion channel regulation and function (22 papers), Cardiac electrophysiology and arrhythmias (20 papers) and Neural dynamics and brain function (14 papers). Gregory D. Smith is often cited by papers focused on Ion channel regulation and function (22 papers), Cardiac electrophysiology and arrhythmias (20 papers) and Neural dynamics and brain function (14 papers). Gregory D. Smith collaborates with scholars based in United States, United Kingdom and Australia. Gregory D. Smith's co-authors include Joel Keizer, Thomas E. Conturo, Joaquín N. Lugo, Arthur Sherman, S. Murray Sherman, Marco A. Huertas, J. M. Wagner, John Rinzel, Charles L. Cox and John E. Pearson and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gregory D. Smith

108 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory D. Smith United States 28 1.6k 840 623 513 270 116 3.0k
Geneviève Dupont Belgium 38 3.1k 2.0× 1.1k 1.3× 274 0.4× 204 0.4× 445 1.6× 98 4.4k
James D. Lechleiter United States 41 4.0k 2.5× 2.0k 2.4× 365 0.6× 194 0.4× 273 1.0× 88 7.0k
Tōru Yamada Japan 49 1.3k 0.8× 1.2k 1.4× 177 0.3× 370 0.7× 96 0.4× 349 9.0k
Louis J. DeFelice United States 46 3.6k 2.3× 3.5k 4.2× 614 1.0× 644 1.3× 456 1.7× 129 6.5k
Alfredo Colosimo Italy 40 1.6k 1.0× 589 0.7× 211 0.3× 1.5k 3.0× 87 0.3× 176 4.9k
JG White United States 30 2.1k 1.3× 1.6k 1.9× 207 0.3× 596 1.2× 248 0.9× 80 7.7k
James Sneyd New Zealand 43 3.2k 2.1× 1.4k 1.7× 897 1.4× 592 1.2× 1.2k 4.3× 162 7.6k
Richard Bertram United States 40 2.0k 1.3× 931 1.1× 178 0.3× 888 1.7× 1.1k 4.1× 171 5.1k
Martin Falcke Germany 36 2.3k 1.5× 902 1.1× 358 0.6× 450 0.9× 976 3.6× 114 3.9k
Arun V. Holden United Kingdom 38 1.2k 0.8× 882 1.1× 2.2k 3.5× 1.2k 2.4× 1.3k 5.0× 194 5.1k

Countries citing papers authored by Gregory D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory D. Smith. 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 Gregory D. Smith. The network helps show where Gregory D. Smith may publish in the future.

Co-authorship network of co-authors of Gregory D. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory D. Smith. A scholar is included among the top collaborators of Gregory D. Smith 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 Gregory D. Smith. Gregory D. Smith 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
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Nolan, Suzanne O., et al.. (2023). Rapamycin improves social and stereotypic behavior abnormalities induced by pre‐mitotic neuronal subset specific Pten deletion. Genes Brain & Behavior. 22(4). e12854–e12854. 4 indexed citations
3.
Picardo, Maria Cristina D., et al.. (2022). Transcriptomes of electrophysiologically recorded Dbx1-derived respiratory neurons of the preBötzinger complex in neonatal mice. Scientific Reports. 12(1). 2923–2923. 9 indexed citations
4.
Sugimura, Yae K., et al.. (2022). Single cell transcriptome sequencing of inspiratory neurons of the preBötzinger complex in neonatal mice. Scientific Data. 9(1). 457–457. 3 indexed citations
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Smith, Gregory D.. (2019). Allostery in oligomeric receptor models. Mathematical Medicine and Biology A Journal of the IMA. 37(3). 313–333.
7.
Edger, Patrick P., Ronald D. Smith, Michael R. McKain, et al.. (2017). Subgenome Dominance in an Interspecific Hybrid, Synthetic Allopolyploid, and a 140-Year-Old Naturally Established Neo-Allopolyploid Monkeyflower. The Plant Cell. 29(9). 2150–2167. 173 indexed citations
8.
Smith, Gregory D., et al.. (2015). Comparison of Equivalence between Two Commercially Available S499-Phosphorylated FMRP Antibodies in Mice. PLoS ONE. 10(11). e0143134–e0143134. 3 indexed citations
9.
Sobie, Eric A., et al.. (2010). Spontaneous Ca 2+ sparks and Ca 2+ homeostasis in a minimal model of permeabilized ventricular myocytes. American Journal of Physiology-Heart and Circulatory Physiology. 299(6). H1996–H2008. 11 indexed citations
10.
LaMar, M. Drew & Gregory D. Smith. (2010). Effect of node-degree correlation on synchronization of identical pulse-coupled oscillators. Physical Review E. 81(4). 46206–46206. 17 indexed citations
11.
Siegal‐Gaskins, Dan, Erich Grotewold, & Gregory D. Smith. (2009). The capacity for multistability in small gene regulatory networks. BMC Systems Biology. 3(1). 96–96. 24 indexed citations
12.
Williams, George S.B., Marco A. Huertas, Eric A. Sobie, M. Saleet Jafri, & Gregory D. Smith. (2007). A Probability Density Approach to Modeling Local Control of Calcium-Induced Calcium Release in Cardiac Myocytes. Biophysical Journal. 92(7). 2311–2328. 45 indexed citations
13.
Ressler, Marc A., et al.. (2006). Synchronous Impulse Reconstruction (SIRE) Radar Sensor for Autonomous Navigation. Journal Of Clinical Periodontology. 29(6). 540–50. 6 indexed citations
14.
Smith, Alexander J., Jason F. Shepherd, John N. Shadid, et al.. (2006). Reaction Diffusion Modeling of Calcium Dynamics with Realistic ER Geometry. Biophysical Journal. 91(2). 537–557. 90 indexed citations
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Smith, Gregory D., et al.. (2001). Asymptotic analysis of equations for the buffered diffusion of intracellular Ca2. SIAM Journal on Applied Mathematics. 61(5). 9 indexed citations
17.
Keizer, Joel, Gregory D. Smith, Silvina Ponce Dawson, & John E. Pearson. (1998). Saltatory Propagation of Ca2+ Waves by Ca2+ Sparks. Biophysical Journal. 75(2). 595–600. 155 indexed citations
18.
Smith, Gregory D., Joel Keizer, Michael D. Stern, W. Jonathan Lederer, & Heping Cheng. (1998). A Simple Numerical Model of Calcium Spark Formation and Detection in Cardiac Myocytes. Biophysical Journal. 75(1). 15–32. 186 indexed citations
19.
Smith, Gregory D., J. M. Wagner, & Joel Keizer. (1996). Validity of the rapid buffering approximation near a point source of calcium ions. Biophysical Journal. 70(6). 2527–2539. 135 indexed citations
20.
Conturo, Thomas E. & Gregory D. Smith. (1990). Signal‐to‐noise in phase angle reconstruction: Dynamic range extension using phase reference offsets. Magnetic Resonance in Medicine. 15(3). 420–437. 166 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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