Inés Armando

146 papers receiving 4.5k citations

Peers

Inés Armando
Comparison fields: 5 of 122
  • Behavioral Neuroscience 579
  • Biological Psychiatry 215
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Cellular and Molecular Neuroscience 596
Replace Robin L. Davisson with:
Robin L. Davisson United States
Juan M. Saavedra United States
Otto‐Erich Brodde Germany
Colin Sumners United States
Nobuyuki Yanagihara Japan
Peng Shi China
Stephanie Wengert Watts United States
Kyuzo Aoki Japan
SUE PIPER DUCKLES United States
Peter Dominiak Germany
Inés Armando relative to Robin L. Davisson United States Robin L. Davisson's profile →
Citations per field
00.5×1.5×2×2.3×
Robin L. Davisson · 1×
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 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993188
2 2008174
3 2001130
4 2002122
5 2003119
6 1992104
7 2004104
8 2002102
9 200596
10 200591
11 199386
12 200882
13 200774
14 200972
15 201270
16 200769
17 200268
18 200467
19 201366
20 200862

About Inés Armando

Inés Armando is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 149 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (48 papers), Receptor Mechanisms and Signaling (44 papers), Renin-Angiotensin System Studies (43 papers), Neuroendocrine regulation and behavior (20 papers), Ion Transport and Channel Regulation (20 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Stress Responses and Cortisol (13 papers) and Electrolyte and hormonal disorders (9 papers). The work is most often cited by research in Behavioral Neuroscience (579 citations), Biological Psychiatry (215 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (1.4k citations) and Cellular and Molecular Neuroscience (596 citations). Inés Armando has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Juan M. Saavedra, Pedro A. José, Claudia Bregonzio, Gustavo Baiardi, Marta Barontini, Laureano D. Asico, Robin A. Felder, David S. Goldstein, Van Anthony M. Villar and Xiaoyan Wang. Their work appears in journals such as The FASEB Journal, Hypertension, American Journal of Physiology-Renal Physiology, Neuroendocrinology and Endocrinology.

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.

Explore authors with similar magnitude of impact