Carlo Caputo

3.0k citations
84 papers · 2.5k · h-index 29

Impact in

Papers in

Carlo Caputo

84 papers receiving 2.3k citations

Peers

Carlo Caputo
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.3k
  • Cardiology and Cardiovascular Medicine 601
  • Molecular Biology 1.7k
  • Sensory Systems 102
  • Bioengineering 99
Replace Christopher Ashley with:
Christopher Ashley United Kingdom
Julio L. Vergara United States
H C Lüttgau Germany
Reinhardt Rüdel Germany
W. Melzer Germany
P. Horowicz United States
Malcolm S. Brodwick United States
W K Chandler United States
R. H. Adrian United Kingdom
Richard K. Orkand Puerto Rico
Carlo Caputo relative to Christopher Ashley United Kingdom Christopher Ashley's profile →
Citations per field
00.5×1.5×2.1×
Christopher Ashley · 1×
Citations per year

Countries citing papers authored by Carlo Caputo

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Caputo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000328
2 2014125
3 1993114
4 1972107
5 1985106
6 198394
7 199478
8 199774
9 197274
10 198370
11 200668
12 199762
13 196759
14 198553
15 196851
16 197951
17 196649
18 200547
19 197644
20 200940

About Carlo Caputo

Carlo Caputo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Bioengineering, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (45 papers), Muscle activation and electromyography studies (29 papers), Neuroscience and Neural Engineering (27 papers), Cardiomyopathy and Myosin Studies (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Muscle Physiology and Disorders (10 papers) and Analytical Chemistry and Sensors (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cardiology and Cardiovascular Medicine (601 citations), Molecular Biology (1.7k citations), Sensory Systems (102 citations) and Bioengineering (99 citations). Carlo Caputo has collaborated with scholars based in Venezuela, United States and Colombia. Frequent co-authors include Pura Bolaños, Reinaldo DiPolo, Francisco Bezanilla, Juan C. Calderón, Isabel Llano, K. A. P. Edman, Fang Lou, Lorenzo Álamo, Yushun Tan and F. Anthony Lai. Their work appears in journals such as The Journal of Physiology, The Journal of General Physiology, Journal of Muscle Research and Cell Motility, Biophysical Journal and Pflügers Archiv - European Journal of Physiology.

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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