M. C. Capogrossi

33 papers receiving 1.4k citations

Peers

M. C. Capogrossi
Comparison fields: 5 of 93
  • Molecular Biology 1.1k
  • Cardiology and Cardiovascular Medicine 897
  • Cellular and Molecular Neuroscience 547
  • Pathology and Forensic Medicine 277
  • Physiology 132
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M. C. Capogrossi relative to J Daut Germany J Daut's profile →
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Countries citing papers authored by M. C. Capogrossi

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Capogrossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Capogrossi. 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 M. C. Capogrossi. The network helps show where M. C. Capogrossi may publish in the future.

Co-authorship network of co-authors of M. C. Capogrossi

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Capogrossi. A scholar is included among the top collaborators of M. C. Capogrossi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. C. Capogrossi. M. C. Capogrossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 42
3
Estrogen receptor-alpha and endothelial nitric oxide synthase nuclear complex regulates transcription of human telomerase
1
4 16
5 9
6 61
7 1
8
Stimulation of sarcolemmal sodium-hydrogen exchange in cardiac myocytes as a mediator of the positive inotropic action of alpha 1 adrenergic agonists.
5
9 19
10
[Acidosis is associated with an intracellular accumulation of Ca2+. Its role in the modulation of myocardial contractility].
2
11 15
12 157
13
Leucine-enkephalin increases the level of inositol (1,4,5) triphosphate and releases calcium from an intracellular pool in rat ventricular cardiac myocytes.
6
14 2
15 62
16 63
17 102
18 61
19 70
20 10

About M. C. Capogrossi

M. C. Capogrossi is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Aging, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (13 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (897 citations), Cellular and Molecular Neuroscience (547 citations) and Molecular Biology (1.1k citations). M. C. Capogrossi has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Edward G. Lakatta, Harold A. Spurgeon, Michael D. Stern, A A Kort, Richard G. Hansford, H. A. Spurgeon, Carlo Ventura, Steven R. Houser, Anthony Bahinski and Giovanni Gambassi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and American Journal of Clinical Nutrition.

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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