W. Brad Ruzicka

1.8k total citations
17 papers, 911 citations indexed

About

W. Brad Ruzicka is a scholar working on Molecular Biology, Genetics and Biological Psychiatry. According to data from OpenAlex, W. Brad Ruzicka has authored 17 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Biological Psychiatry. Recurrent topics in W. Brad Ruzicka's work include Epigenetics and DNA Methylation (12 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Genetic Syndromes and Imprinting (3 papers). W. Brad Ruzicka is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Genetic Syndromes and Imprinting (3 papers). W. Brad Ruzicka collaborates with scholars based in United States and Italy. W. Brad Ruzicka's co-authors include Dennis R. Grayson, Alessandro Guidotti, E. Costa, Marin Veldić, Sivan Subburaju, Francine M. Beneš, Lucio Tremolizzo, Colin Mitchell, Rajiv P. Sharma and G. Carboni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Psychiatry and Biological Psychiatry.

In The Last Decade

W. Brad Ruzicka

17 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Brad Ruzicka United States 11 637 367 175 161 107 17 911
Rosalba Satta United States 14 693 1.1× 346 0.9× 253 1.4× 163 1.0× 99 0.9× 16 1.1k
Ekrem Maloku United States 8 645 1.0× 336 0.9× 338 1.9× 166 1.0× 97 0.9× 12 1.1k
Tianzhang Ye United States 10 885 1.4× 455 1.2× 207 1.2× 89 0.6× 102 1.0× 13 1.3k
Caroline Connor United States 9 452 0.7× 291 0.8× 103 0.6× 106 0.7× 52 0.5× 9 761
Ciara Fahey Ireland 19 572 0.9× 286 0.8× 136 0.8× 95 0.6× 99 0.9× 25 1.2k
Rahim Shafa United States 6 657 1.0× 441 1.2× 76 0.4× 125 0.8× 168 1.6× 6 944
David P. Gavin United States 21 1.1k 1.7× 581 1.6× 188 1.1× 241 1.5× 163 1.5× 38 1.6k
Anti Kalda Estonia 19 560 0.9× 177 0.5× 362 2.1× 98 0.6× 44 0.4× 33 1.0k
Brandon C. McKinney United States 18 601 0.9× 342 0.9× 424 2.4× 69 0.4× 83 0.8× 23 1.1k
Ikuko Sugaya United States 7 332 0.5× 193 0.5× 235 1.3× 82 0.5× 46 0.4× 7 726

Countries citing papers authored by W. Brad Ruzicka

Since Specialization
Citations

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

Fields of papers citing papers by W. Brad Ruzicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Brad Ruzicka. 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 W. Brad Ruzicka. The network helps show where W. Brad Ruzicka may publish in the future.

Co-authorship network of co-authors of W. Brad Ruzicka

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

All Works

17 of 17 papers shown
1.
McAfee, Jessica C., Jiseok Lee, Oleh Krupa, et al.. (2023). Systematic investigation of allelic regulatory activity of schizophrenia-associated common variants. Cell Genomics. 3(10). 100404–100404. 17 indexed citations
2.
Coyle, Joseph T., W. Brad Ruzicka, & Darrick T. Balu. (2020). Fifty Years of Research on Schizophrenia: The Ascendance of the Glutamatergic Synapse. American Journal of Psychiatry. 177(12). 1119–1128. 50 indexed citations
3.
Ruzicka, W. Brad, Sivan Subburaju, & Francine M. Beneš. (2017). Variability of DNA Methylation within Schizophrenia Risk Loci across Subregions of Human Hippocampus. Genes. 8(5). 143–143. 9 indexed citations
4.
Ruzicka, W. Brad, Sivan Subburaju, Joseph T. Coyle, & Francine M. Beneš. (2017). Location matters: distinct DNA methylation patterns in GABAergic interneuronal populations from separate microcircuits within the human hippocampus. Human Molecular Genetics. 27(2). 254–265. 4 indexed citations
5.
Rohan, Michael, et al.. (2017). 643. Sustained Improvement in Mood after 3 Days of Low Field Magnetic Stimulation in Subjects with Bipolar Depression. Biological Psychiatry. 81(10). S260–S261. 1 indexed citations
6.
Subburaju, Sivan, et al.. (2016). Epigenetic Regulation of Glutamic Acid Decarboxylase 67 in a Hippocampal Circuit. Cerebral Cortex. 27(11). 5284–5293. 5 indexed citations
7.
Subburaju, Sivan, et al.. (2016). Toward dissecting the etiology of schizophrenia: HDAC1 and DAXX regulate GAD67 expression in an in vitro hippocampal GABA neuron model. Translational Psychiatry. 6(1). e723–e723. 17 indexed citations
8.
Ruzicka, W. Brad. (2015). Epigenetic Mechanisms in the Pathophysiology of Psychotic Disorders. Harvard Review of Psychiatry. 23(3). 212–222. 5 indexed citations
9.
Ruzicka, W. Brad, Sivan Subburaju, & Francine M. Beneš. (2015). Circuit- and Diagnosis-Specific DNA Methylation Changes at γ-Aminobutyric Acid–Related Genes in Postmortem Human Hippocampus in Schizophrenia and Bipolar Disorder. JAMA Psychiatry. 72(6). 541–541. 77 indexed citations
10.
Dong, Erbo, W. Brad Ruzicka, Dennis R. Grayson, & Alessandro Guidotti. (2014). DNA-methyltransferase1 (DNMT1) binding to CpG rich GABAergic and BDNF promoters is increased in the brain of schizophrenia and bipolar disorder patients. Schizophrenia Research. 167(1-3). 35–41. 74 indexed citations
11.
Bani‐Fatemi, Ali, et al.. (2014). P.3.d.067 Potential and direct methylation of 5-HT receptors in treatment resistant schizophrenia. European Neuropsychopharmacology. 24. S562–S562. 1 indexed citations
12.
Costa, Erminio, Ying Chen, Erbo Dong, et al.. (2008). GABAergic promoter hypermethylation as a model to study the neurochemistry of schizophrenia vulnerability. Expert Review of Neurotherapeutics. 9(1). 87–98. 46 indexed citations
13.
Ruzicka, W. Brad, Adrian Zhubi, Marin Veldić, et al.. (2007). Selective epigenetic alteration of layer I GABAergic neurons isolated from prefrontal cortex of schizophrenia patients using laser-assisted microdissection. Molecular Psychiatry. 12(4). 385–397. 140 indexed citations
14.
Guidotti, Alessandro, W. Brad Ruzicka, Dennis R. Grayson, et al.. (2007). S-adenosyl methionine and DNA methyltransferase-1 mRNA overexpression in psychosis. Neuroreport. 18(1). 57–60. 76 indexed citations
16.
Costa, E., Erbo Dong, Dennis R. Grayson, et al.. (2006). Epigenetic Targets in GABAergic Neurons to Treat Schizophrenia. Advances in pharmacology. 54. 95–117. 21 indexed citations
17.
Tremolizzo, Lucio, G. Carboni, W. Brad Ruzicka, et al.. (2002). An epigenetic mouse model for molecular and behavioral neuropathologies related to schizophrenia vulnerability. Proceedings of the National Academy of Sciences. 99(26). 17095–17100. 306 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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