Augusto V. Juorio

1.9k total citations
50 papers, 1.6k citations indexed

About

Augusto V. Juorio is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Augusto V. Juorio has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Augusto V. Juorio's work include Neuroscience and Neuropharmacology Research (17 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Hormonal Regulation and Hypertension (8 papers). Augusto V. Juorio is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Hormonal Regulation and Hypertension (8 papers). Augusto V. Juorio collaborates with scholars based in Canada, United States and Switzerland. Augusto V. Juorio's co-authors include Alan A. Boulton, I.A. Paterson, Juan M. Saavedra, Inés Armando, Xinmin Li, Meng‐Yang Zhu, Roland P.S. Kwok, Jennifer Chlan‐Fourney, Paula Ashe and Xinmin Li and has published in prestigious journals such as Analytical Chemistry, Brain Research and Endocrinology.

In The Last Decade

Augusto V. Juorio

49 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
Augusto V. Juorio Canada 23 701 465 258 244 183 50 1.6k
Lawrence W. Fitzgerald United States 23 944 1.3× 649 1.4× 84 0.3× 172 0.7× 334 1.8× 42 2.0k
David G. Grahame‐Smith United Kingdom 23 1.3k 1.8× 779 1.7× 61 0.2× 152 0.6× 114 0.6× 40 2.1k
Barry J. Connell Canada 25 348 0.5× 299 0.6× 317 1.2× 393 1.6× 272 1.5× 55 1.6k
Takao Kubo Japan 27 1.0k 1.5× 846 1.8× 619 2.4× 138 0.6× 258 1.4× 134 2.3k
Jacques R. Boissier Canada 16 640 0.9× 417 0.9× 54 0.2× 236 1.0× 174 1.0× 31 1.4k
S.Z. Langer France 20 1.5k 2.1× 1.1k 2.5× 138 0.5× 86 0.4× 64 0.3× 47 2.1k
Jan J. Braszko Poland 26 594 0.8× 1.0k 2.2× 833 3.2× 275 1.1× 310 1.7× 115 2.3k
Jana Tchekalarova Bulgaria 24 681 1.0× 449 1.0× 177 0.7× 67 0.3× 151 0.8× 115 1.7k
Michael S. Briley France 22 1.4k 1.9× 1.2k 2.5× 154 0.6× 189 0.8× 115 0.6× 31 2.3k
John E. Piletz United States 32 1.3k 1.8× 1.5k 3.1× 142 0.6× 87 0.4× 304 1.7× 97 2.9k

Countries citing papers authored by Augusto V. Juorio

Since Specialization
Citations

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

Fields of papers citing papers by Augusto V. Juorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Augusto V. Juorio. 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 Augusto V. Juorio. The network helps show where Augusto V. Juorio may publish in the future.

Co-authorship network of co-authors of Augusto V. Juorio

This figure shows the co-authorship network connecting the top 25 collaborators of Augusto V. Juorio. A scholar is included among the top collaborators of Augusto V. Juorio 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 Augusto V. Juorio. Augusto V. Juorio 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.
Saavedra, Juan M., Inés Armando, Claudia Bregonzio, et al.. (2005). A Centrally Acting, Anxiolytic Angiotensin II AT1 Receptor Antagonist Prevents the Isolation Stress-Induced Decrease in Cortical CRF1 Receptor and Benzodiazepine Binding. Neuropsychopharmacology. 31(6). 1123–1134. 87 indexed citations
2.
Saavedra, Juan M., Hiromichi Ando, Inés Armando, et al.. (2005). Anti-stress and anti-anxiety effects of centrally acting angiotensin II AT1 receptor antagonists. Regulatory Peptides. 128(3). 227–238. 94 indexed citations
3.
4.
Chlan‐Fourney, Jennifer, et al.. (2002). Differential regulation of hippocampal BDNF mRNA by typical and atypical antipsychotic administration. Brain Research. 954(1). 11–20. 120 indexed citations
5.
6.
Li, Xinmin, et al.. (2000). Substantia nigra pars reticulata lesion facilitates kainic acid-induced seizures. Brain Research. 877(1). 107–109. 6 indexed citations
7.
Ashe, Paula, et al.. (1999). Lesion of the substantia nigra pars compacta downregulates striatal glutamate receptor subunit mRNA expression. Brain Research. 850(1-2). 79–86. 6 indexed citations
8.
Juorio, Augusto V.. (1998). The Synaptic Organization of the Brain, 4th edition. Journal of Psychiatry and Neuroscience. 23(5). 311–311. 27 indexed citations
9.
Li, Xinmin, Augusto V. Juorio, Qi Jin, & Alan A. Boulton. (1998). Amantadine increases aromatic 1L-amino acid decarboxylase mRNA in PC12 cells. Journal of Neuroscience Research. 53(4). 490–493. 8 indexed citations
10.
Li, Xinmin, Augusto V. Juorio, Qi Jin, & Alan A. Boulton. (1998). L-deprenyl potentiates NGF-induced changes in superoxide dismutase mRNA in PC12 cells. Journal of Neuroscience Research. 53(2). 235–238. 30 indexed citations
11.
Boulton, Alan A., et al.. (1997). Aliphatic N-Methylpropargylamines: Monoamine Oxidase-B Inhibitors and Antiapoptotic Drugs. Advances in pharmacology. 42. 308–311. 14 indexed citations
12.
Mousseau, Darrell D., D. J. McManus, Glen B. Baker, et al.. (1993). Effects of age and of chronic antidepressant treatment on [3H]tryptamine and [3H]dihydroalprenolol binding to rat cortical membranes. Cellular and Molecular Neurobiology. 13(1). 3–13. 19 indexed citations
13.
Juorio, Augusto V., Xinmin Li, Wolfgang Walz, & I.A. Paterson. (1993). Decarboxylation ofl-Dopa by cultured mouse astrocytes. Brain Research. 626(1-2). 306–309. 55 indexed citations
14.
Li, Xinmin, Augusto V. Juorio, & Bruce D. Murphy. (1993). Prostaglandins Alter the Abundance of Messenger Ribonucleic Acid for Steroidogenic Enzymes in Cultured Porcine Granulosa Cells1. Biology of Reproduction. 48(6). 1360–1366. 17 indexed citations
15.
Li, Xinmin, Augusto V. Juorio, & Alan A. Boulton. (1993). NSD-1015 alters the gene expression of aromaticl-amino acid decarboxylase in rat PC12 pheochromocytoma cells. Neurochemical Research. 18(8). 915–919. 19 indexed citations
16.
Li, Xinmin, Augusto V. Juorio, I.A. Paterson, et al.. (1992). Gene Expression of Aromatic l‐Amino Acid Decarboxylase in Cultured Rat Glial Cells. Journal of Neurochemistry. 59(3). 1172–1175. 63 indexed citations
17.
Li, Xinmin, Augusto V. Juorio, I.A. Paterson, Meng‐Yang Zhu, & Alan A. Boulton. (1992). Specific Irreversible Monoamine Oxidase B Inhibitors Stimulate Gene Expression of Aromatic L‐Amino Acid Decarboxylase in PC12 Cells. Journal of Neurochemistry. 59(6). 2324–2327. 52 indexed citations
18.
Chedrese, P. Jorge, David Zhang, Van Luu The, et al.. (1990). Regulation of mRNA Expression of 3β-Hydroxy-5-Ene Steroid Dehydrogenase in Porcine Granulosa Cells in Culture: A Role for the Protein Kinase-C Pathway. Molecular Endocrinology. 4(10). 1532–1538. 47 indexed citations
19.
Nguyen, Tommy, et al.. (1989). Tryptamine receptors: neurochemical and electrophysiological evidence for postsynaptic and functional binding sites. Brain Research. 476(1). 85–93. 19 indexed citations
20.
Kwok, Roland P.S. & Augusto V. Juorio. (1986). Concentration of Striatal Tyramine and Dopamine Metabolism in Diabetic Rats and Effect of Insulin Administration. Neuroendocrinology. 43(5). 590–596. 60 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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