Genaro Barrientos

1.2k citations
31 papers · 972 · h-index 20

Impact in

Papers in

Genaro Barrientos

29 papers receiving 961 citations

Peers

Genaro Barrientos
Comparison fields: 5 of 109
  • Rehabilitation 88
  • Physiology 203
  • Molecular Biology 495
  • Cardiology and Cardiovascular Medicine 141
  • Physiology 32
Replace Kathrin Landgraf with:
Kathrin Landgraf Germany
Paola Di Pietro Italy
Alex E. Green Canada
Wenjun Zhao China
Yaiza Potes Spain
Roberta Ceci Italy
Alexis Díaz‐Vegas Australia
Roberto Palacios Spain
P. Charukeshi Chandrasekera United States
Gisele Giannocco Brazil
Genaro Barrientos relative to Kathrin Landgraf Germany Kathrin Landgraf's profile →
Citations per field
00.5×3.2×
Kathrin Landgraf · 1×
Citations per year

Countries citing papers authored by Genaro Barrientos

Since Specialization
Citations

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

Fields of papers citing papers by Genaro Barrientos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 2012140
3 201557
4 201846
5 201040
6 202140
7 200939
8 201037
9 201636
10 201832
11 202131
12 201129
13 201829
14 201726
15 202126
16 201725
17 201824
18 202022
19 202121
20 201821

About Genaro Barrientos

Genaro Barrientos is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 31 papers that have together received 972 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (4 papers), Hormonal and reproductive studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Inflammasome and immune disorders (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Exercise and Physiological Responses (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Rehabilitation (88 citations), Physiology (203 citations), Molecular Biology (495 citations), Cardiology and Cardiovascular Medicine (141 citations) and Physiology (32 citations). Genaro Barrientos has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Cecilia Hidalgo, Gina Sánchez, Paola Llanos, Paula Aracena-Parks, Isaac N. Pessah, Manuel Estrada, Wei Feng, Carla Basualto-Alarcón, Gennady Cherednichenko and Ariel Contreras‐Ferrat. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biological Chemistry, Molecular Pharmacology, PLoS ONE and Biological Research.

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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