Raúl Padrón

3.2k citations
69 papers · 2.1k · h-index 26

Impact in

Papers in

Raúl Padrón

67 papers receiving 2.1k citations

Peers

Raúl Padrón
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 1.8k
  • Structural Biology 109
  • Molecular Biology 1.4k
  • Cell Biology 218
  • Cellular and Molecular Neuroscience 185
Replace Lorenzo Álamo with:
Lorenzo Álamo Venezuela
Robert W. Kensler United States
John L. Woodhead United States
Dianne W. Taylor United States
Pauline M. Bennett United Kingdom
Takuo Yasunaga Japan
Samantha P. Harris United States
Mark S. Mooseker United States
Lynne M. Coluccio United States
D. Labeit Germany
Raúl Padrón relative to Lorenzo Álamo Venezuela Lorenzo Álamo's profile →
Citations per field
00.5×1.5×1.9×
Lorenzo Álamo · 1×
Citations per year

Countries citing papers authored by Raúl Padrón

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Padrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005266
2 2017137
3 2011136
4 2008120
5 2008106
6 198795
7 198592
8 202374
9 201673
10 201871
11 201158
12 202050
13 201547
14 202146
15 200845
16 199243
17 198441
18 198836
19 200334
20 201233

About Raúl Padrón

Raúl Padrón is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (46 papers), Muscle Physiology and Disorders (27 papers), Cardiovascular Effects of Exercise (21 papers), Force Microscopy Techniques and Applications (8 papers), Genetic Neurodegenerative Diseases (7 papers), Cellular Mechanics and Interactions (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Structural Biology (109 citations), Molecular Biology (1.4k citations), Cell Biology (218 citations) and Cellular and Molecular Neuroscience (185 citations). Raúl Padrón has collaborated with scholars based in Venezuela, United States and United Kingdom. Frequent co-authors include Roger Craig, Lorenzo Álamo, Antonio Pinto, Fa-Qing Zhao, Edward H. Egelman, John L. Woodhead, R K Craig, John Kendrick‐Jones, Pradeep K. Luther and Richard E. Gillilan. Their work appears in journals such as Biophysical Journal, Journal of Molecular Biology, Journal of Structural Biology, Proceedings of the National Academy of Sciences and Nature.

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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