N. Sperelakis

2.6k citations
76 papers · 2.0k indexed · h-index 28

Impact in

Papers in

N. Sperelakis

76 papers receiving 2.0k citations

Peers

N. Sperelakis
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 1.0k
  • Cellular and Molecular Neuroscience 607
  • Molecular Biology 1.3k
  • Sensory Systems 80
  • Cell Biology 208
Replace D L Campbell with:
D L Campbell United States
Alicia Mattiazzi Argentina
T Itoh Japan
Nicholas Sperelakis United States
S C O’Neill United Kingdom
Joseph Feher United States
Larry V. Hryshko Canada
Udo Klöckner Germany
L. Toro United States
Anthony Collins United States
N. Sperelakis relative to D L Campbell United States D L Campbell's profile →
Citations per field
00.5×2.9×
D L Campbell · 1×
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
#Work
1 20046
2 20037
3 200222
4 20003
5 199819
6 199735
7 199733
8 1995103
9 199213
10 199028
11 199018
12 19899
13 198928
14 19892
15 198885
16 198812
17 198833
18 198810
19 19878
20 19836

About N. Sperelakis

N. Sperelakis is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Electrochemistry and Bioengineering, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (42 papers), Cardiac electrophysiology and arrhythmias (41 papers), Neuroscience and Neural Engineering (21 papers), Neuroscience and Neuropharmacology Research (15 papers), Cardiomyopathy and Myosin Studies (6 papers), Receptor Mechanisms and Signaling (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Aldose Reductase and Taurine (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Cellular and Molecular Neuroscience (607 citations), Molecular Biology (1.3k citations), Sensory Systems (80 citations) and Cell Biology (208 citations). N. Sperelakis has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael S. Forbes, Yuichi Ohya, Zhouyi Xiong, Yuichi Inoue, Hiroshi Masuda, Ghassan Bkaily, Rafael Rubio, Noritsugu Tohse, William C. Cole and David R. Harder. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Canadian Journal of Physiology and Pharmacology, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

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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