Inés Armando

150 papers receiving 4.2k citations

Peers

Inés Armando
Comparison fields: 5 of 121
  • Behavioral Neuroscience 577
  • Biological Psychiatry 217
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Nephrology 235
Replace Robin L. Davisson with:
Robin L. Davisson United States
Juan M. Saavedra United States
Elise P. Gómez-Sánchez United States
Gregory D. Fink United States
Colin Sumners United States
Otto‐Erich Brodde Germany
Kyuzo Aoki Japan
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Julie Y.H. Chan Taiwan
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Inés Armando relative to Robin L. Davisson United States Robin L. Davisson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Inés Armando

Since Specialization
Citations

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

Fields of papers citing papers by Inés Armando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inés Armando, 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 Armando Line = papers co-authored together Inés Armando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993177
2 2001128
3 2002115
4 2003112
5 1992101
6 200498
7 201198
8 200297
9 200594
10 200587
11 199378
12 200773
13 200970
14 200266
15 200764
16 201264
17 201362
18 200461
19 200860
20 200659

About Inés Armando

Inés Armando is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Physiology, having authored 153 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (51 papers), Receptor Mechanisms and Signaling (44 papers), Renin-Angiotensin System Studies (43 papers), Ion Transport and Channel Regulation (23 papers), Neuroendocrine regulation and behavior (20 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Stress Responses and Cortisol (13 papers) and Electrolyte and hormonal disorders (10 papers). The work is most often cited by research in Behavioral Neuroscience (577 citations), Biological Psychiatry (217 citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Nephrology (235 citations). Inés Armando has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Pedro A. José, Juan M. Saavedra, Van Anthony M. Villar, Claudia Bregonzio, Gustavo Baiardi, Marta Barontini, Laureano D. Asico, Robin A. Felder, David S. Goldstein and Xiaoyan Wang. Their work appears in journals such as Hypertension, The FASEB Journal, American Journal of Physiology-Renal Physiology, Endocrinology and Neuroendocrinology.

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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