Russell J. Buono

5.6k total citations
66 papers, 1.6k citations indexed

About

Russell J. Buono is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Russell J. Buono has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Cellular and Molecular Neuroscience and 16 papers in Genetics. Recurrent topics in Russell J. Buono's work include Epilepsy research and treatment (13 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Russell J. Buono is often cited by papers focused on Epilepsy research and treatment (13 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Russell J. Buono collaborates with scholars based in United States, Canada and Germany. Russell J. Buono's co-authors include Thomas N. Ferraro, Wade H. Berrettini, George Gilbert Smith, Gregory T. Golden, Falk W. Lohoff, Wade H. Berrettini, Glenn A. Doyle, Dennis Dlugos, Candice L. Schwebel and Theresa Scattergood and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Annals of Neurology.

In The Last Decade

Russell J. Buono

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell J. Buono United States 23 847 723 381 352 162 66 1.6k
Yunfei Huang United States 17 1.0k 1.2× 561 0.8× 165 0.4× 321 0.9× 335 2.1× 29 1.8k
Frédéric de Bock France 22 612 0.7× 677 0.9× 262 0.7× 147 0.4× 178 1.1× 35 1.7k
Ariane Davidson Israel 19 715 0.8× 609 0.8× 78 0.2× 220 0.6× 229 1.4× 33 1.4k
H. Kevin Happe United States 27 853 1.0× 684 0.9× 62 0.2× 355 1.0× 139 0.9× 50 1.7k
Christopher J. Yuskaitis United States 16 914 1.1× 309 0.4× 265 0.7× 588 1.7× 210 1.3× 31 1.7k
Merav Bassan Israel 17 594 0.7× 613 0.8× 106 0.3× 111 0.3× 231 1.4× 32 1.3k
Louis Scheurer Switzerland 14 597 0.7× 852 1.2× 187 0.5× 99 0.3× 151 0.9× 22 1.3k
Erica Beilharz New Zealand 21 1.2k 1.4× 844 1.2× 76 0.2× 475 1.3× 326 2.0× 30 2.4k
Guang Chen China 16 570 0.7× 285 0.4× 339 0.9× 196 0.6× 117 0.7× 38 1.3k
Yasue Horiuchi Japan 25 475 0.6× 405 0.6× 248 0.7× 316 0.9× 147 0.9× 61 1.5k

Countries citing papers authored by Russell J. Buono

Since Specialization
Citations

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

Fields of papers citing papers by Russell J. Buono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell J. Buono. 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 Russell J. Buono. The network helps show where Russell J. Buono may publish in the future.

Co-authorship network of co-authors of Russell J. Buono

This figure shows the co-authorship network connecting the top 25 collaborators of Russell J. Buono. A scholar is included among the top collaborators of Russell J. Buono 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 Russell J. Buono. Russell J. Buono 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.
Ferraro, Thomas N., et al.. (2025). Modulation of mu-opioid receptor function alters electroshock seizure responses in mice. Neuropharmacology. 272. 110427–110427.
2.
3.
Perucca, Piero, Kate E. Stanley, Anne M. McIntosh, et al.. (2022). Rare Genetic Variation and Outcome of Surgery for Mesial Temporal Lobe Epilepsy. Annals of Neurology. 93(4). 752–761. 4 indexed citations
4.
Doyle, Glenn A., Benjamin C. Reiner, Richard C. Crist, et al.. (2021). Investigation of long interspersed element‐1 retrotransposons as potential risk factors for idiopathic temporal lobe epilepsy. Epilepsia. 62(6). 1329–1342. 6 indexed citations
5.
6.
Islam, Ariful, et al.. (2019). Cognitive and behavioral effects of brief seizures in mice. Epilepsy & Behavior. 98(Pt A). 249–257. 3 indexed citations
7.
Bessaïh, Thomas, et al.. (2012). Quantitative trait locus on distal chromosome 1 regulates the occurrence of spontaneous spike‐wave discharges in DBA/2 mice. Epilepsia. 53(8). 1429–1435. 5 indexed citations
8.
Lohoff, Falk W., Andrew E. Weller, Russell J. Buono, et al.. (2008). Association between Polymorphisms in the Vesicular Monoamine Transporter 1 Gene <i>(VMAT1/SLC18A1)</i> on Chromosome 8p and Schizophrenia. Neuropsychobiology. 57(1-2). 55–60. 35 indexed citations
9.
Dlugos, Dennis, Thomas N. Ferraro, & Russell J. Buono. (2007). Novel De Novo Mutation of a Conserved SCN1A Amino-Acid Residue (R1596). Pediatric Neurology. 37(4). 303–305. 7 indexed citations
10.
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
11.
Dlugos, Dennis, Russell J. Buono, & Thomas N. Ferraro. (2006). Defining the clinical role of pharmacogenetics in antiepileptic drug therapy. The Pharmacogenomics Journal. 6(6). 357–359. 8 indexed citations
12.
Doyle, Glenn A., Xin Sheng, Sharon Lin, et al.. (2006). Identification of three mouse μ-opioid receptor (MOR) gene (Oprm1) splice variants containing a newly identified alternatively spliced exon. Gene. 388(1-2). 135–147. 26 indexed citations
13.
Ferraro, Thomas N., Dennis Dlugos, & Russell J. Buono. (2006). Role of genetics in the diagnosis and treatment of epilepsy. Expert Review of Neurotherapeutics. 6(12). 1789–1800. 14 indexed citations
14.
Dahl, Jon E., Glenn A. Doyle, Russell J. Buono, et al.. (2005). Lack of association between single nucleotide polymorphisms in the corticotropin releasing hormone receptor 1 (CRHR1) gene and alcohol dependence. Journal of Psychiatric Research. 39(5). 475–479. 13 indexed citations
15.
Ferraro, Thomas N. & Russell J. Buono. (2005). The relationship between the pharmacology of antiepileptic drugs and human gene variation: An overview. Epilepsy & Behavior. 7(1). 18–36. 46 indexed citations
16.
Buono, Russell J., Thomas N. Ferraro, Michael J. O’Connor, et al.. (2001). Lack of Association Between an Interleukin 1 Beta (IL‐1β) Gene Variation and Refractory Temporal Lobe Epilepsy. Epilepsia. 42(6). 782–784. 43 indexed citations
17.
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
18.
Bagella, Luigi, Timothy K. MacLachlan, Russell J. Buono, et al.. (1998). Cloning of murine CDK9/PITALRE and its tissue‐specific expression in development. Journal of Cellular Physiology. 177(2). 206–213. 4 indexed citations
19.
Boatright, Jeffrey H., et al.. (1997). The 5″ Flanking Regions of IRBP and Arrestin have Promoter Activity in Primary Embryonic Chicken Retina Cell Cultures. Experimental Eye Research. 64(2). 269–277. 21 indexed citations
20.
Buono, Russell J., Paul J. Linser, R. Andrew Cuthbertson, & Joram Piatigorsky. (1992). Molecular analyses of carbonic anhydrase‐II expression and regulation in the developing chicken lens. Developmental Dynamics. 194(1). 33–42. 7 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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