Gerardo García‐Rivas

3.7k citations
117 papers · 2.8k indexed · h-index 32

Gerardo García‐Rivas

112 papers receiving 2.8k citations

Peers

Gerardo García‐Rivas
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 647
  • Geriatrics and Gerontology 88
  • Pathology and Forensic Medicine 337
  • Physiology 421
  • Molecular Biology 1.0k
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Xu Han China
Anna‐Mart Engelbrecht South Africa
Jiandong Luo China
Sreejayan Nair United States
Tatsuya Morimoto Japan
Lu Yu China
Sumitra Miriyala United States
Jasvinder Singh Bhatti India
Xian Zhang China
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Citations per year

Countries citing papers authored by Gerardo García‐Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Gerardo García‐Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerardo García‐Rivas. 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 Gerardo García‐Rivas. The network helps show where Gerardo García‐Rivas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20248
5 202414
6 202311
7 202310
8 20231
9 202219
10 202115
11 202126
12 202011
13 201922
14 201717
15 201753
16 201732
17 201638
18
Abstract 13891: Enhanced Sodium-Calcium Exchanger Current, Prolonged Action Potential Duration, and Early/Delayed-Afterdepolarization in Sorcin Knockout Heart
20141
19 20120
20 200915

About Gerardo García‐Rivas

Gerardo García‐Rivas is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 117 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Adipose Tissue and Metabolism (15 papers), Cardiac Ischemia and Reperfusion (14 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Graphene and Nanomaterials Applications (10 papers), Cardiac electrophysiology and arrhythmias (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Fibrosis and Remodeling (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (647 citations), Geriatrics and Gerontology (88 citations) and Pathology and Forensic Medicine (337 citations). Gerardo García‐Rivas has collaborated with scholars based in Mexico, United States and Chile. Frequent co-authors include Elena C. Castillo, Guillermo Torre‐Amione, Omar Lozano, Leticia Elizondo‐Montemayor, Christian Silva‐Platas, Cecilia Zazueta, Eduardo Vázquez‐Garza, Francisco Correa, Noemı́ Garcı́a and Karla Carvajal. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

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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