Jorge E. Toblli

4.8k total citations
125 papers, 3.5k citations indexed

About

Jorge E. Toblli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Hematology. According to data from OpenAlex, Jorge E. Toblli has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 36 papers in Endocrinology, Diabetes and Metabolism and 26 papers in Hematology. Recurrent topics in Jorge E. Toblli's work include Iron Metabolism and Disorders (24 papers), Hormonal Regulation and Hypertension (22 papers) and Renin-Angiotensin System Studies (22 papers). Jorge E. Toblli is often cited by papers focused on Iron Metabolism and Disorders (24 papers), Hormonal Regulation and Hypertension (22 papers) and Renin-Angiotensin System Studies (22 papers). Jorge E. Toblli collaborates with scholars based in Argentina, United States and Chile. Jorge E. Toblli's co-authors include Gabriel Cao, Margarita Angerosa, Federico Di Gennaro, Felipe Inserra, León Ferder, Inés Stella, Fernando P. Dominici, Patricio Duarte, Jorge F. Giani and Marina C. Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jorge E. Toblli

123 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge E. Toblli Argentina 36 1.0k 771 721 679 437 125 3.5k
N Frisina Italy 36 316 0.3× 707 0.9× 835 1.2× 767 1.1× 460 1.1× 112 4.0k
W Grzeszczak Poland 31 637 0.6× 235 0.3× 969 1.3× 587 0.9× 185 0.4× 298 3.2k
Hideyasu Kiyomoto Japan 32 1.3k 1.3× 288 0.4× 1.3k 1.9× 1.0k 1.5× 179 0.4× 106 3.9k
Jean‐Luc Wautier France 32 491 0.5× 399 0.5× 1.6k 2.2× 1.2k 1.7× 373 0.9× 93 5.8k
Speranza Rubattu Italy 34 2.1k 2.1× 212 0.3× 681 0.9× 889 1.3× 105 0.2× 123 3.7k
D.P. Mikhailidis United Kingdom 39 1.0k 1.0× 373 0.5× 1.1k 1.5× 676 1.0× 98 0.2× 176 4.4k
Juerg Nussberger Switzerland 28 2.4k 2.4× 225 0.3× 1.7k 2.3× 755 1.1× 800 1.8× 72 4.2k
Sergio Mezzano Chile 42 1.3k 1.2× 237 0.3× 881 1.2× 2.2k 3.2× 279 0.6× 131 6.2k
Nimesh S. A. Patel United Kingdom 41 418 0.4× 830 1.1× 177 0.2× 1.5k 2.2× 149 0.3× 84 4.6k
Bernhard R. Winkelmann Germany 38 1.4k 1.4× 212 0.3× 866 1.2× 755 1.1× 106 0.2× 107 4.0k

Countries citing papers authored by Jorge E. Toblli

Since Specialization
Citations

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

Fields of papers citing papers by Jorge E. Toblli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge E. Toblli. 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 Jorge E. Toblli. The network helps show where Jorge E. Toblli may publish in the future.

Co-authorship network of co-authors of Jorge E. Toblli

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge E. Toblli. A scholar is included among the top collaborators of Jorge E. Toblli 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 Jorge E. Toblli. Jorge E. Toblli 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.
Eriguchi, Masahiro, Ellen A. Bernstein, Luciana C. Veiras, et al.. (2018). The Absence of the ACE N-Domain Decreases Renal Inflammation and Facilitates Sodium Excretion during Diabetic Kidney Disease. Journal of the American Society of Nephrology. 29(10). 2546–2561. 27 indexed citations
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Cao, Gabriel, Mariela M. Gironacci, Ana M. Puyó, et al.. (2017). Effects of chronic fructose overload on renal dopaminergic system: alteration of urinary L-dopa/dopamine index correlates to hypertension and precedes kidney structural damage. The Journal of Nutritional Biochemistry. 51. 47–55. 11 indexed citations
5.
Rouvier, Éric, et al.. (2016). Regulation of Dopamine Uptake by Vasoactive Peptides in the Kidney. Scientifica. 2016. 1–12. 1 indexed citations
6.
Cao, Gabriel, et al.. (2016). Immunohistochemical expression of intrarenal renin angiotensin system components in response to tempol in rats fed a high salt diet. World Journal of Nephrology. 6(1). 29–29. 22 indexed citations
7.
Giani, Jorge F., Nikhil Kamat, Dale M. Seth, et al.. (2014). Renal Angiotensin-Converting Enzyme Is Essential for the Hypertension Induced by Nitric Oxide Synthesis Inhibition. Journal of the American Society of Nephrology. 25(12). 2752–2763. 48 indexed citations
8.
Toblli, Jorge E., et al.. (2013). Effects of Iron Polymaltose Complex, Ferrous Fumarate and Ferrous Sulfate Treatments in Anemic Pregnant Rats, Their Fetuses and Placentas. Inflammation & Allergy - Drug Targets. 12(3). 190–198. 11 indexed citations
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Toblli, Jorge E., et al.. (2011). Efficacy and safety of oral iron(III) polymaltose complex versus ferrous sulfate in pregnant women with iron-deficiency anemia: a multicenter, randomized, controlled study. The Journal of Maternal-Fetal & Neonatal Medicine. 24(11). 1347–1352. 44 indexed citations
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Toblli, Jorge E., Inés Stella, Osvaldo Mazza, León Ferder, & Felipe Inserra. (2006). The effect of different antihypertensive drugs on cavernous tissue in experimental chronic renal insufficiency. Journal of Nephrology. 19(4). 419–428. 7 indexed citations
13.
Mazza, Osvaldo, Margarita Angerosa, Edgardo Becher, & Jorge E. Toblli. (2006). Differences Between Candesartan and Hydralazine in the Protection of Penile Structures in Spontaneously Hypertensive Rats. The Journal of Sexual Medicine. 3(4). 604–611. 13 indexed citations
14.
Toblli, Jorge E., Gabriel Cao, Gabriel Casas, et al.. (2005). NF-κB and chemokine-cytokine expression in renal tubulointerstitium in experimental hyperoxaluria. Role of the renin-angiotensin system. Urological Research. 33(5). 358–367. 16 indexed citations
15.
Angerosa, Margarita, et al.. (2004). Excreción de proteínas de bajo peso molecular en pacientes con proteinuria a cadena liviana como marcadoras de disfunción renal. Acta bioquímica clínica latinoamericana. 38(1). 17–22.
16.
Milei, José, Gabriel Cao, Daniel Grana, & Jorge E. Toblli. (2004). Plasminogen activator inhibitor-1 and transforming growth factor-β1 in carotid glomus and autonomic ganglia from spontaneously hypertensive rats. Journal of Hypertension. 22(7). 1351–1359. 10 indexed citations
17.
Toblli, Jorge E., et al.. (2004). ACE inhibitor and angiotensin type I receptor antagonist in combination reduce renal damage in obese Zucker rats. Kidney International. 65(6). 2343–2359. 41 indexed citations
18.
Toblli, Jorge E.. (2004). Protection of cavernous tissue in male spontaneously hypertensive ratsBeyond blood pressure control. American Journal of Hypertension. 17(6). 516–522. 21 indexed citations
19.
Toblli, Jorge E.. (2004). Angiotensin-Converting enzyme inhibition and angiogenesis in myocardium of obese Zucker rats. American Journal of Hypertension. 17(2). 172–180. 61 indexed citations
20.
Fraga, César G., et al.. (2000). Enalapril (E) Attenuates Oxidative Stress (OXS) in Diabetic Rats.. Hypertension. 36. 726–726. 9 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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