George Gilbert Smith

1.8k total citations
30 papers, 1.1k citations indexed

About

George Gilbert Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, George Gilbert Smith has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in George Gilbert Smith's work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). George Gilbert Smith is often cited by papers focused on Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). George Gilbert Smith collaborates with scholars based in United States, Canada and Finland. George Gilbert Smith's co-authors include Gregory T. Golden, Thomas N. Ferraro, Wade H. Berrettini, Russell J. Buono, Herbert Sprince, Ruggero G. Fariello, Patricio F. Reyes, Nicholas J. Schork, Pamela St. Jean and Candice L. Schwebel and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Neuroscience.

In The Last Decade

George Gilbert Smith

29 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
George Gilbert Smith United States 18 622 559 233 176 114 30 1.1k
Hirohiko Kanai Japan 14 410 0.7× 400 0.7× 213 0.9× 225 1.3× 90 0.8× 22 971
Asheebo Rojas United States 22 560 0.9× 572 1.0× 109 0.5× 283 1.6× 126 1.1× 38 1.4k
A. Baba Japan 22 700 1.1× 793 1.4× 61 0.3× 88 0.5× 184 1.6× 49 1.4k
June L. Sonnenberg United States 11 912 1.5× 776 1.4× 132 0.6× 49 0.3× 222 1.9× 12 1.6k
Jun Arita Japan 26 459 0.7× 443 0.8× 231 1.0× 32 0.2× 160 1.4× 91 1.7k
Sufen Yang United States 12 312 0.5× 439 0.8× 97 0.4× 102 0.6× 115 1.0× 21 973
Megan E. Wilkins United Kingdom 14 878 1.4× 804 1.4× 117 0.5× 72 0.4× 113 1.0× 16 1.5k
Kazuya Toriumi Japan 22 254 0.4× 568 1.0× 179 0.8× 74 0.4× 132 1.2× 57 1.1k
Ivan O. Medvedev United States 14 710 1.1× 664 1.2× 84 0.4× 90 0.5× 145 1.3× 20 1.1k
A. Leake United Kingdom 20 307 0.5× 567 1.0× 78 0.3× 149 0.8× 365 3.2× 46 1.4k

Countries citing papers authored by George Gilbert Smith

Since Specialization
Citations

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

Fields of papers citing papers by George Gilbert Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Gilbert Smith

This figure shows the co-authorship network connecting the top 25 collaborators of George Gilbert Smith. A scholar is included among the top collaborators of George Gilbert 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 George Gilbert Smith. George Gilbert 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
1.
Zabin, Chela J., Ian Davidson, George Gilbert Smith, et al.. (2018). How will vessels be inspected to meet emerging biofouling regulations for the prevention of marine invasions?. Management of Biological Invasions. 9(3). 195–208. 17 indexed citations
2.
Doyle, Glenn A., Candice L. Schwebel, Santiago Ruiz, et al.. (2014). Analysis of candidate genes for morphine preference quantitative trait locus Mop2. Neuroscience. 277. 403–416. 12 indexed citations
3.
Gerstner, Jason R., et al.. (2014). BMAL1 controls the diurnal rhythm and set point for electrical seizure threshold in mice. Frontiers in Systems Neuroscience. 8. 121–121. 63 indexed citations
4.
Ferraro, Thomas N., George Gilbert Smith, D.H. Ballard, et al.. (2010). Quantitative trait loci for electrical seizure threshold mapped in C57BLKS/J and C57BL/10SnJ mice. Genes Brain & Behavior. 10(3). 309–315. 6 indexed citations
5.
Doyle, Glenn A., Patrick J. Furlong, Candice L. Schwebel, et al.. (2008). Fine Mapping of a Major QTL Influencing Morphine Preference in C57BL/6 and DBA/2 Mice Using Congenic Strains. Neuropsychopharmacology. 33(12). 2801–2809. 18 indexed citations
6.
Grice, Dorothy E., Ilkka Reenilä, Pekka T. Männistö, et al.. (2007). Transcriptional profiling of C57 and DBA strains of mice in the absence and presence of morphine. BMC Genomics. 8(1). 76–76. 35 indexed citations
7.
Ferraro, Thomas N., Gregory T. Golden, John P. Dahl, et al.. (2007). Analysis of a Quantitative Trait Locus for Seizure Susceptibility in Mice Using Bacterial Artificial Chromosome‐Mediated Gene Transfer. Epilepsia. 48(9). 1667–1677. 23 indexed citations
8.
Buono, Russell J., Thomas N. Ferraro, Gregory T. Golden, et al.. (2004). Fine mapping of a seizure susceptibility locus on mouse Chromosome 1: nomination of Kcnj10 as a causative gene. Mammalian Genome. 15(4). 239–251. 121 indexed citations
9.
Ferraro, Thomas N., Gregory T. Golden, George Gilbert Smith, et al.. (2004). Confirmation of a Major QTL Influencing Oral Morphine Intake in C57 and DBA Mice Using Reciprocal Congenic Strains. Neuropsychopharmacology. 30(4). 742–746. 35 indexed citations
10.
Ferraro, Thomas N., et al.. (2002). Mouse strain variation in maximal electroshock seizure threshold. Brain Research. 936(1-2). 82–86. 48 indexed citations
11.
Ferraro, Thomas N., Gregory T. Golden, George Gilbert Smith, et al.. (2001). Quantitative Genetic Study of Maximal Electroshock Seizure Threshold in Mice: Evidence for a Major Seizure Susceptibility Locus on Distal Chromosome 1. Genomics. 75(1-3). 35–42. 43 indexed citations
12.
Ferraro, Thomas N., Gregory T. Golden, Robert L. Snyder, et al.. (1998). Genetic influences on electrical seizure threshold. Brain Research. 813(1). 207–210. 37 indexed citations
13.
Ferraro, Thomas N., et al.. (1998). Genotyping microsatellite polymorphisms by agarose gel electrophoresis with ethidium bromide staining. Psychiatric Genetics. 8(4). 227–233. 12 indexed citations
14.
Ferraro, Thomas N., Gregory T. Golden, George Gilbert Smith, et al.. (1997). Mapping murine loci for seizure response to kainic acid. Mammalian Genome. 8(3). 200–208. 79 indexed citations
15.
Ferraro, Thomas N., Gregory T. Golden, George Gilbert Smith, & Wade H. Berrettini. (1995). Differential Susceptibility to Seizures Induced by Systemic Kainic Acid Treatment in Mature DBA/2J and C57BLl6J Mice. Epilepsia. 36(3). 301–307. 89 indexed citations
16.
Fariello, Ruggero G., Gregory T. Golden, George Gilbert Smith, & Patricio F. Reyes. (1989). Potentiation of kainic acid epileptogenicity and sparing from neuronal damage by an NMDA receptor antagonist. Epilepsy Research. 3(3). 206–213. 119 indexed citations
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19.
Smith, George Gilbert. (1977). Positive Discrimination by Area in Education: the EPA idea re‐examined. Oxford Review of Education. 3(3). 269–281. 5 indexed citations
20.
Sprince, Herbert, et al.. (1975). Protection against acetaldehyde toxicity by ascorbic acid plus reserpine or atropine. Federation Proceedings. 34(3). 227. 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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