Norbert Nagy

2.1k citations
59 papers · 1.2k · h-index 18

Impact in

Papers in

Norbert Nagy

56 papers receiving 1.2k citations

Peers

Norbert Nagy
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 599
  • Biochemistry 155
  • Cellular and Molecular Neuroscience 179
  • Molecular Biology 572
  • Pathology and Forensic Medicine 111
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Youyou Zhao China
Semir Özdemir Türkiye
Yumi Katano Japan
Leonardo del Valle‐Mondragón Mexico
Sandra Lauton‐Santos Brazil
R Sotníková Slovakia
Azizah Ugusman Malaysia
Leonardo Nogueira United States
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Citations per field
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Citations per year

Countries citing papers authored by Norbert Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008210
2 2020153
3 200983
4 200464
5 200662
6 201353
7 200739
8 201438
9 202034
10 201328
11 200824
12 200824
13 200423
14 201923
15 202022
16 202019
17 200718
18
The role of exogenous carbon monoxide in the recovery of post-ischemic cardiac function in buffer perfused isolated rat hearts.
200517
19 201416
20 199816

About Norbert Nagy

Norbert Nagy is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Physiology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (45 papers), Ion channel regulation and function (26 papers), Neuroscience and Neural Engineering (9 papers), Cardiovascular Effects of Exercise (7 papers), Cardiac pacing and defibrillation studies (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiac Arrhythmias and Treatments (5 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (599 citations), Biochemistry (155 citations), Cellular and Molecular Neuroscience (179 citations), Molecular Biology (572 citations) and Pathology and Forensic Medicine (111 citations). Norbert Nagy has collaborated with scholars based in Hungary, Finland and United Kingdom. Frequent co-authors include András Varró, László Virág, Julius Gy. Papp, François Boucher, Joël de Leiris, Blanca Rodríguez, István Baczkó, Elisa Passini, Károly Acsai and Péter P. Nánási. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, British Journal of Pharmacology, Scientific Reports, Journal of Molecular and Cellular Cardiology 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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