Juan M. Saavedra

9.6k total citations
188 papers, 8.1k citations indexed

About

Juan M. Saavedra is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Juan M. Saavedra has authored 188 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Cardiology and Cardiovascular Medicine, 99 papers in Molecular Biology and 49 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Juan M. Saavedra's work include Renin-Angiotensin System Studies (106 papers), Receptor Mechanisms and Signaling (87 papers) and Neuroendocrine regulation and behavior (44 papers). Juan M. Saavedra is often cited by papers focused on Renin-Angiotensin System Studies (106 papers), Receptor Mechanisms and Signaling (87 papers) and Neuroendocrine regulation and behavior (44 papers). Juan M. Saavedra collaborates with scholars based in United States, Czechia and Argentina. Juan M. Saavedra's co-authors include Július Benický, Mohan Viswanathan, Inés Armando, Enrique Sánchez-Lemus, Takeshi Ito, Yasuaki Nishimura, Keisuke Tsutsumi, Masaki Kurihara, Fernando Morgan de Aguiar Corrêa and Claudia Bregonzio and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Juan M. Saavedra

185 papers receiving 7.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan M. Saavedra United States 54 4.1k 3.1k 2.1k 1.6k 1.2k 188 8.1k
Colin Sumners United States 57 5.3k 1.3× 4.7k 1.5× 2.1k 1.0× 2.2k 1.4× 866 0.7× 281 10.4k
Robin L. Davisson United States 52 3.6k 0.9× 2.6k 0.8× 1.3k 0.6× 620 0.4× 348 0.3× 117 8.1k
Natália Alenina Germany 45 2.9k 0.7× 2.7k 0.9× 1.6k 0.8× 1.2k 0.7× 412 0.3× 182 7.3k
Kaushik P. Patel United States 50 4.6k 1.1× 1.5k 0.5× 832 0.4× 717 0.5× 978 0.8× 235 8.3k
R. Lang Germany 46 3.4k 0.8× 2.1k 0.7× 865 0.4× 1.2k 0.8× 1.1k 0.9× 155 6.9k
Sheila M. Gardiner United Kingdom 42 2.2k 0.5× 2.0k 0.7× 905 0.4× 1.4k 0.9× 515 0.4× 225 7.1k
Heide Hörtnagl Austria 49 866 0.2× 2.3k 0.7× 506 0.2× 2.7k 1.7× 615 0.5× 127 7.8k
Inés Armando United States 39 1.4k 0.3× 1.6k 0.5× 1.2k 0.6× 579 0.4× 497 0.4× 153 4.2k
Wybren de Jong Netherlands 39 941 0.2× 1.6k 0.5× 710 0.3× 2.1k 1.3× 900 0.8× 197 5.3k
Sue P. Duckles United States 48 1.2k 0.3× 2.0k 0.6× 1.8k 0.8× 1.5k 1.0× 188 0.2× 160 7.0k

Countries citing papers authored by Juan M. Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Saavedra. 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 Juan M. Saavedra. The network helps show where Juan M. Saavedra may publish in the future.

Co-authorship network of co-authors of Juan M. Saavedra

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Saavedra. A scholar is included among the top collaborators of Juan M. Saavedra 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 Juan M. Saavedra. Juan M. Saavedra 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.
Pavel, Jaroslav, José A. Terrón, Július Benický, et al.. (2009). Increased Angiotensin II AT1 receptor mRNA and binding in spleen and lung of AT2 receptor gene disrupted mice. Regulatory Peptides. 158(1-3). 156–166. 11 indexed citations
2.
Benický, Július, Enrique Sánchez-Lemus, Jaroslav Pavel, & Juan M. Saavedra. (2009). Anti-Inflammatory Effects of Angiotensin Receptor Blockers in the Brain and the Periphery. Cellular and Molecular Neurobiology. 29(6-7). 781–792. 101 indexed citations
3.
4.
Saavedra, Juan M. & Jaroslav Pavel. (2006). The Discovery of a Novel Macrophage Binding Site. Cellular and Molecular Neurobiology. 26(4-6). 507–524. 5 indexed citations
5.
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
6.
Bregonzio, Claudia, et al.. (2004). Angiotensin II AT1 Receptor Blockade Prolongs the Lifespan of Spontaneously Hypertensive Rats and Reduces Stress‐Induced Release of Catecholamines, Glucocorticoids, and Vasopressin. Annals of the New York Academy of Sciences. 1018(1). 131–136. 20 indexed citations
7.
8.
Ježová, M, Inés Armando, Claudia Bregonzio, et al.. (2003). Angiotensin II AT1 and AT2 Receptors Contribute to Maintain Basal Adrenomedullary Norepinephrine Synthesis and Tyrosine Hydroxylase Transcription. Endocrinology. 144(5). 2092–2101. 42 indexed citations
9.
Hoe, Kwang‐Lae, Inés Armando, Gustavo Baiardi, et al.. (2003). Molecular cloning, characterization, and distribution of the gerbil angiotensin II AT2receptor. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 285(6). R1373–R1383. 3 indexed citations
10.
Terrón, José A., Alicia Falcón‐Neri, Inés Armando, et al.. (2002). Restraint Stress Modulates Brain, Pituitary and Adrenal Expression of Angiotensin II AT<sub>1A</sub>, AT<sub>1B</sub> and AT<sub>2</sub> Receptors. Neuroendocrinology. 75(4). 227–240. 66 indexed citations
11.
Saavedra, Juan M.. (2001). Foreword: Neuroscience in Israel at 2001. Cellular and Molecular Neurobiology. 21(6). 553–554.
12.
Nishimura, Yasuaki, Takeshi Ito, & Juan M. Saavedra. (2000). Angiotensin II AT 1 Blockade Normalizes Cerebrovascular Autoregulation and Reduces Cerebral Ischemia in Spontaneously Hypertensive Rats. Stroke. 31(10). 2478–2486. 235 indexed citations
13.
Saavedra, Juan M. & Yasuaki Nishimura. (1999). Angiotensin and Cerebral Blood Flow. Cellular and Molecular Neurobiology. 19(5). 553–573. 44 indexed citations
14.
Jöhren, Olaf, et al.. (1995). AT1A, AT1B, and AT2angiotensin II receptor subtype gene expression in rat brain. Neuroreport. 6(18). 2549–2552. 97 indexed citations
15.
Viswanathan, Mohan, Alicia Seltzer, & Juan M. Saavedra. (1994). Heterogeneous expression of angiotensin II AT1 receptors in neointima of rat carotid artery and aorta after balloon catheter injury. Peptides. 15(7). 1205–1212. 24 indexed citations
16.
Zórad, Štefan, et al.. (1993). Localization and characteristics of atrial natriuretic peptide receptors in prenatal and postnatal rat brain. European Journal of Pharmacology. 241(2-3). 195–200. 12 indexed citations
17.
18.
Pinto, J. E. B., Adil J. Nazarali, & Juan M. Saavedra. (1989). Angiotensin II Binding Sites in the Superior Cervical Ganglia of SpontaneouslyHypertensive and Wistar-Kyoto Rats After Preganglionic Denervation. American Journal of Hypertension. 2(8). 647–649. 5 indexed citations
19.
Corrêa, Fernando Morgan de Aguiar & Juan M. Saavedra. (1983). Somatostatin Inhibits the Isoproterenol-Stimulated Adenylate Cyclase in the Intermediate Lobe of the Male Rat Pituitary Gland. Neuroendocrinology. 37(4). 284–287. 6 indexed citations
20.
Sordelli, Daniel O., et al.. (1983). Pulmonary Clearance of Staphylococcus Aureus and Plasma Angiotensin-Converting Enzyme Activity in Hydrocarbon Pneumonitis. Pediatric Research. 17(8). 657–661. 6 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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