Albert J. Azzaro

1.2k total citations
38 papers, 920 citations indexed

About

Albert J. Azzaro is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Albert J. Azzaro has authored 38 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Albert J. Azzaro's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Receptor Mechanisms and Signaling (7 papers). Albert J. Azzaro is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Neuroscience and Neuropharmacology Research (10 papers) and Receptor Mechanisms and Signaling (7 papers). Albert J. Azzaro collaborates with scholars based in United States and Canada. Albert J. Azzaro's co-authors include Darryle D. Schoepp, Dale L. Birkle, Charles O. Rutledge, Elizabeth A. Johnson, Herbert E. Ward, Chad M. VanDenBerg, John A. Ziemniak, Michael Mawhinney, Claude de Montigny and Pierre Blier and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Albert J. Azzaro

36 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert J. Azzaro United States 17 408 240 199 179 138 38 920
Robert A. McArthur Italy 20 538 1.3× 344 1.4× 207 1.0× 123 0.7× 84 0.6× 43 1.2k
Philip Gerrard United Kingdom 17 643 1.6× 418 1.7× 134 0.7× 144 0.8× 90 0.7× 19 1.1k
Shaun Jordan United States 14 589 1.4× 298 1.2× 196 1.0× 119 0.7× 104 0.8× 18 1.2k
Mariana Bendlin Calzavara Brazil 18 494 1.2× 157 0.7× 243 1.2× 150 0.8× 61 0.4× 29 1.1k
Jerzy Michaluk Poland 21 801 2.0× 439 1.8× 191 1.0× 92 0.5× 202 1.5× 76 1.3k
H Sowińska Poland 17 616 1.5× 322 1.3× 198 1.0× 117 0.7× 88 0.6× 37 874
Richard McQuade United Kingdom 21 763 1.9× 426 1.8× 144 0.7× 271 1.5× 70 0.5× 41 1.3k
Márton I.K. Fekete Hungary 18 521 1.3× 304 1.3× 70 0.4× 228 1.3× 75 0.5× 73 1.2k
Bjarne Fjalland Denmark 18 520 1.3× 376 1.6× 153 0.8× 91 0.5× 49 0.4× 45 1.0k
Laura Dazzi Italy 25 954 2.3× 474 2.0× 176 0.9× 355 2.0× 112 0.8× 58 1.7k

Countries citing papers authored by Albert J. Azzaro

Since Specialization
Citations

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

Fields of papers citing papers by Albert J. Azzaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert J. Azzaro

This figure shows the co-authorship network connecting the top 25 collaborators of Albert J. Azzaro. A scholar is included among the top collaborators of Albert J. Azzaro 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 Albert J. Azzaro. Albert J. Azzaro 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.
Robinson, Donald S., Michelle Gilmor, Albert J. Azzaro, et al.. (2025). Treatment Effects of Selegiline Transdermal System on Symptoms of Major Depressive Disorder: A Meta-Analysis of Short-Term, Placebo-Controlled, Efficacy Trials. Psychopharmacology Bulletin. 40(3). 15–28.
2.
DelBello, Melissa P., et al.. (2014). A Double-Blind, Placebo-Controlled Study of Selegiline Transdermal System in Depressed Adolescents. Journal of Child and Adolescent Psychopharmacology. 24(6). 311–317. 26 indexed citations
3.
Burch, Daniel, et al.. (2013). Lack of tyramine pressor response effect with oral CX157: A specific reversible MAOI. Clinical Pharmacology in Drug Development. 3(1). 4–12. 2 indexed citations
4.
5.
Azzaro, Albert J., et al.. (2007). Selegiline Transdermal System: An Examination of the Potential for CYP450‐Dependent Pharmacokinetic Interactions With 3 Psychotropic Medications. The Journal of Clinical Pharmacology. 47(2). 146–158. 14 indexed citations
6.
7.
Azzaro, Albert J., et al.. (2006). Tyramine Pressor Sensitivity During Treatment With the Selegiline Transdermal System 6 mg/24 h in Healthy Subjects. The Journal of Clinical Pharmacology. 46(8). 933–944. 36 indexed citations
8.
Azzaro, Albert J., et al.. (2004). Selegiline Transdermal System (STS): Preclinical Assays of Dermal Safety. Journal of Toxicology Cutaneous and Ocular Toxicology. 23(3). 173–178. 3 indexed citations
9.
Ward, Herbert E., et al.. (1998). Corticotropin-Releasing Factor and Defensive Withdrawal: Inhibition of Monoamine Oxidase Prevents Habituation to Chronic Stress. Pharmacology Biochemistry and Behavior. 60(1). 209–215. 9 indexed citations
10.
Barrett, Jeffrey S., et al.. (1997). Pressor Response to Tyramine after Single 24‐Hour Application of a Selegiline Transdermal System in Healthy Males. The Journal of Clinical Pharmacology. 37(3). 238–247. 13 indexed citations
11.
12.
Ward, Herbert E., et al.. (1995). Prenatal stress increases corticotropin-releasing factor (CRF) content and release in rat amygdala minces. Brain Research. 675(1-2). 297–302. 164 indexed citations
13.
Johnson, Elizabeth A., et al.. (1995). The anxiolytic serotonin 5-HT1A receptor agonists buspirone, ipsapirone and gepirone are inhibitors of tyrosine hydroxylation in rat striatum. Behavioural Brain Research. 73(1-2). 331–335. 10 indexed citations
14.
Birkle, Dale L., et al.. (1994). In vivo microdialysis of corticotropin releasing factor (CRF): Calcium dependence of depolarization-induced neurosecretion of CRF. Neuroscience Letters. 169(1-2). 63–67. 18 indexed citations
15.
Birkle, Dale L., et al.. (1993). Abnormal fatty acid composition in sarcolemma and sarcoplasmic reticulum from myotonic ADR mouse muscle. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1146(2). 236–242. 4 indexed citations
16.
Johnson, Elizabeth A., et al.. (1992). Effects of Withdrawal from Chronic Cocaine Administration on Behavior and β‐Adrenergic and Serotonergic Brain Receptors in Rata. Annals of the New York Academy of Sciences. 654(1). 453–455. 1 indexed citations
17.
18.
Goodman, I, et al.. (1982). Lesion-produced telencephalic catecholamine imbalances and altered operant pecking rates in pigeons. Physiology & Behavior. 29(6). 1045–1050. 6 indexed citations
19.
Azzaro, Albert J., et al.. (1974). THE IMPORTANCE OF NEURONAL UPTAKE OF AMINES FOR AMPHETAMINE-INDUCED RELEASE OF 3H-NOREPINEPHRINE FROM ISOLATED BRAIN TISSUE. Journal of Pharmacology and Experimental Therapeutics. 189(1). 110–118. 84 indexed citations
20.
Rutledge, Charles O., et al.. (1974). Dissociation of amphetamine-induced release of norepinephrine from inhibition of neuronal uptake in isolated brain tissue. Biochemical Pharmacology. 23. 808–810. 3 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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