N. Sperelakis

4.1k citations
119 papers · 3.7k · h-index 35

Impact in

Papers in

N. Sperelakis

117 papers receiving 3.3k citations

Peers

N. Sperelakis
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 1.9k
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 2.2k
  • Pathology and Forensic Medicine 423
  • Physiology 482
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N. Sperelakis United States
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David C. Johns United States
F. Norman Briggs United States
Terence F. McDonald Canada
Tetsushi Furukawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by N. Sperelakis

Since Specialization
Citations

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

Fields of papers citing papers by N. Sperelakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974154
2 1997153
3 1976143
4 1988138
5 1985135
6 1979133
7 1977121
8 198999
9 199193
10 197084
11 197781
12 197964
13 199163
14 200259
15 199057
16 199956
17 198256
18 198255
19
Intracellular injection of cyclic GMP depresses cardiac slow action potentials.
198554
20 198345

About N. Sperelakis

N. Sperelakis is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Electrochemistry, having authored 119 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (62 papers), Cardiac electrophysiology and arrhythmias (50 papers), Neuroscience and Neural Engineering (21 papers), Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (11 papers), Cardiac Ischemia and Reperfusion (11 papers), Electrochemical Analysis and Applications (10 papers) and Cardiomyopathy and Myosin Studies (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (2.2k citations), Pathology and Forensic Medicine (423 citations) and Physiology (482 citations). N. Sperelakis has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael S. Forbes, Stephen M. Vogel, Koki Shigenobu, Hisashi Yokoshiki, Noritsugu Tohse, Michael J. McLean, A J Pappano, Ira R. Josephson, Joel A. Schneider and Ghassan Bkaily. Their work appears in journals such as American Journal of Physiology-Legacy Content, Journal of Pharmacology and Experimental Therapeutics, Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology and European Journal of Pharmacology.

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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