Inés Stella

31 papers receiving 1.3k citations

Peers

Inés Stella
Comparison fields: 5 of 96
  • Aging 45
  • Nephrology 94
  • Urology 72
  • Cardiology and Cardiovascular Medicine 243
  • Endocrinology, Diabetes and Metabolism 175
Replace Karla B Neves with:
Karla B Neves United Kingdom
Masato Iwabu Japan
Miki Okada‐Iwabu Japan
Helmut Schatz Germany
Izumi Hashimoto Japan
Krishna Reddy United States
Michaele B. Manigrasso United States
Sven Schinner Germany
Martin Pfohl Germany
Inés Stella relative to Karla B Neves United Kingdom Karla B Neves's profile →
Citations per field
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Karla B Neves · 1×
Citations per year

Countries citing papers authored by Inés Stella

Since Specialization
Citations

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

Fields of papers citing papers by Inés Stella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inés Stella. 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 Inés Stella. The network helps show where Inés Stella may publish in the future.

Co-authors

The 25 scholars most cited alongside Inés Stella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inés Stella Line = papers co-authored together Inés Stella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003161
2 2005137
3 2001129
4 2006104
5 200075
6 201469
7 200855
8 200954
9 200753
10 200251
11 201347
12 200745
13 200645
14 199934
15
Angiotensin II blockade improves mitochondrial function in spontaneously hypertensive rats.
200534
16 200130
17 200428
18
Enalapril prevents fatty liver in nephrotic rats.
200327
19 200918
20 200517

About Inés Stella

Inés Stella is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Nephrology, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (5 papers), Sexual function and dysfunction studies (4 papers), Endometriosis Research and Treatment (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Hormonal and reproductive studies (2 papers), Advanced Glycation End Products research (2 papers), Urinary Bladder and Prostate Research (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Aging (45 citations), Nephrology (94 citations), Urology (72 citations), Cardiology and Cardiovascular Medicine (243 citations) and Endocrinology, Diabetes and Metabolism (175 citations). Inés Stella has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include Felipe Inserra, León Ferder, Jorge E. Toblli, Elena M. V. de Cavanagh, César G. Fraga, Bárbara Piotrkowski, Nidia Basso, Margarita Angerosa, Marcelo Ferder and Florian Zeller. Their work appears in journals such as Hypertension, The Journal of Urology, American Journal of Nephrology, Regulatory Peptides and American Journal of Hypertension.

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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