Fernando R. Ibarra

709 total citations
37 papers, 576 citations indexed

About

Fernando R. Ibarra is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fernando R. Ibarra has authored 37 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fernando R. Ibarra's work include Hormonal Regulation and Hypertension (16 papers), Ion Transport and Channel Regulation (14 papers) and Electrolyte and hormonal disorders (10 papers). Fernando R. Ibarra is often cited by papers focused on Hormonal Regulation and Hypertension (16 papers), Ion Transport and Channel Regulation (14 papers) and Electrolyte and hormonal disorders (10 papers). Fernando R. Ibarra collaborates with scholars based in Argentina, Sweden and United States. Fernando R. Ibarra's co-authors include Paul Greengard, Leif Svensson, Carol A. Klee, Anita Aperia, Elvira Arrizurieta, Anita Aperia, Ann‐Christine Eklöf, A.‐C. EKLÖF, Marta Barontini and Inés Armando and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Fernando R. Ibarra

36 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando R. Ibarra Argentina 13 334 142 106 104 70 37 576
Martine Rousselot Switzerland 14 640 1.9× 134 0.9× 37 0.3× 236 2.3× 93 1.3× 16 796
C. Barlet-Bas France 17 498 1.5× 163 1.1× 30 0.3× 176 1.7× 52 0.7× 28 674
Hui‐Fang Bao United States 18 727 2.2× 118 0.8× 82 0.8× 333 3.2× 139 2.0× 31 987
Corinna Helmle‐Kolb Switzerland 15 457 1.4× 50 0.4× 45 0.4× 83 0.8× 48 0.7× 24 563
A. Gairard France 14 191 0.6× 118 0.8× 71 0.7× 27 0.3× 87 1.2× 59 521
Weijian Shao United States 13 204 0.6× 190 1.3× 252 2.4× 35 0.3× 93 1.3× 20 507
Jiandong Zhang China 13 156 0.5× 87 0.6× 93 0.9× 61 0.6× 144 2.1× 29 626
Douglas R. Yingst United States 12 318 1.0× 48 0.3× 94 0.9× 35 0.3× 32 0.5× 27 464
Michael Clark United States 11 273 0.8× 74 0.5× 56 0.5× 75 0.7× 27 0.4× 18 564
Nils van der Lubbe Netherlands 12 479 1.4× 205 1.4× 109 1.0× 256 2.5× 162 2.3× 16 677

Countries citing papers authored by Fernando R. Ibarra

Since Specialization
Citations

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

Fields of papers citing papers by Fernando R. Ibarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando R. Ibarra. 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 Fernando R. Ibarra. The network helps show where Fernando R. Ibarra may publish in the future.

Co-authorship network of co-authors of Fernando R. Ibarra

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando R. Ibarra. A scholar is included among the top collaborators of Fernando R. Ibarra 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 Fernando R. Ibarra. Fernando R. Ibarra 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.
Azurmendi, Pablo Javier, et al.. (2024). High sodium, rather than high blood pressure, induces immune cell activation and renal infiltration in ovariectomized adult Wistar rats. Biochemical and Biophysical Research Communications. 722. 150147–150147. 1 indexed citations
2.
Azurmendi, Pablo Javier, et al.. (2023). Role of Female Sex Hormones and Immune Response in Salt-Sensitive Hypertension Development: Evidence from Experimental Models. Current Hypertension Reports. 25(11). 405–419. 1 indexed citations
3.
4.
Azurmendi, Pablo Javier, et al.. (2018). Diferencias de género en presión arterial, función renal y respuesta a la dieta hipersódica en ratas Wistar. Dialnet (Universidad de la Rioja). 3 indexed citations
5.
Azurmendi, Pablo Javier, et al.. (2013). Ovariectomy Causes Overexpression of Renal Na+,K+-ATPase and Sodium-Sensitive Hypertension in Adult Wistar Rats. Clinical and Experimental Hypertension. 35(7). 475–483. 5 indexed citations
6.
Li, Dong, Lena Scott, Sergey Zelenin, et al.. (2011). Binding of Losartan to Angiotensin AT1 Receptors Increases Dopamine D1 Receptor Activation. Journal of the American Society of Nephrology. 23(3). 421–428. 30 indexed citations
7.
Sjöberg, Agneta, et al.. (2010). Prolactin and dopamine 1-like receptor interaction in renal proximal tubular cells. American Journal of Physiology-Renal Physiology. 299(1). F49–F54. 21 indexed citations
8.
Azurmendi, Pablo Javier, et al.. (2009). Gonadectomy Influences Blood Pressure through the Kallikrein-Kinin System. Kidney & Blood Pressure Research. 32(5). 342–348. 6 indexed citations
9.
Krmar, Rafael T., et al.. (2008). Urinary Kallikrein and Blood Pressure – Gender-Different Response to Potassium Supplementation in SHR. Nephron Physiology. 108(3). p37–p45. 4 indexed citations
10.
Bertuccio, Claudia A., et al.. (2007). Mechanisms of PKC-Dependent Na+K+ATPase Phosphorylation in the Rat Kidney with Chronic Renal Failure. Renal Failure. 29(1). 13–22. 5 indexed citations
11.
Krmar, Rafael T., et al.. (2006). Effect of Prepuberal Gonadectomy upon Aldosterone Levels in Female and Male SHR: Interaction between Blood Pressure and Kallikrein Kinin System. Clinical and Experimental Hypertension. 28(2). 157–170. 4 indexed citations
12.
Ibarra, Fernando R., et al.. (2005). Prolactin, a natriuretic hormone, interacting with the renal dopamine system. Kidney International. 68(4). 1700–1707. 40 indexed citations
13.
Ibarra, Fernando R., Inés Armando, Susana Nowicki, et al.. (2005). Dopamine is metabolised by different enzymes along the rat nephron. Pflügers Archiv - European Journal of Physiology. 450(3). 185–191. 20 indexed citations
14.
Bertuccio, Claudia A., et al.. (2003). Mechanisms of Na + -K + -ATPase phosphorylation by PKC in the medullary thick ascending limb of Henle in the rat. Pflügers Archiv - European Journal of Physiology. 447(1). 87–96. 18 indexed citations
15.
Ibarra, Fernando R., et al.. (2002). Intracellular sodium modulates the state of protein kinase C phosphorylation of rat proximal tubule Na+,K+‐ATPase. Acta Physiologica Scandinavica. 175(2). 165–171. 20 indexed citations
16.
Ibarra, Fernando R., et al.. (1999). Effect of glucocorticoids on renal dopamine production. European Journal of Pharmacology. 370(3). 271–278. 15 indexed citations
17.
Ibarra, Fernando R., et al.. (1998). Changes in Glomerular Filtration Rate and Renal Plasma Flow in Cirrhotic Rats During Converting Enzyme Inhibition. Renal Failure. 20(1). 65–74. 6 indexed citations
18.
Martín, Rodolfo S., Cristina Ibarra, Fernando R. Ibarra, et al.. (1989). Voltage dependence and barium sensitivity of colonic K secretion in renal failure. American Journal of Physiology-Renal Physiology. 256(3). F490–F496. 3 indexed citations
19.
Rector, William G. & Fernando R. Ibarra. (1988). Intravascular volume in cirrhosis. Digestive Diseases and Sciences. 33(4). 460–466. 13 indexed citations
20.
Ibarra, Fernando R. & Ricardo Gullón. (1970). La invencion del 98 y otros ensayos. Hispania. 53(3). 574–574. 4 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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