Slávka Čarnická

501 citations
27 papers · 437 · h-index 15

Impact in

Papers in

Slávka Čarnická

27 papers receiving 435 citations

Peers

Slávka Čarnická
Comparison fields: 5 of 65
  • Developmental Neuroscience 57
  • Pathology and Forensic Medicine 231
  • Emergency Medicine 82
  • Cardiology and Cardiovascular Medicine 165
  • Molecular Biology 220
Replace Gabriella F. Kocsis with:
Gabriella F. Kocsis Hungary
Tsai‐Fwu Chou Taiwan
Nilguen Gedik Germany
Judit Pipis Hungary
Yuzo Akita Japan
Brian Siu Hong Kong
Astrid Buechert Germany
Rianne Nederlof Netherlands
Chwen‐Lih Chen United States
Tibor Turóczi United States
Slávka Čarnická relative to Gabriella F. Kocsis Hungary Gabriella F. Kocsis's profile →
Citations per field
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Gabriella F. Kocsis · 1×
Citations per year

Countries citing papers authored by Slávka Čarnická

Since Specialization
Citations

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

Fields of papers citing papers by Slávka Čarnická

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 201343
3 201034
4 201832
5 200929
6 201125
7 200924
8 200923
9 201320
10 201419
11 201118
12 201217
13 201317
14 201516
15 201614
16 201211
17 201210
18 20137
19 20165
20 20145

About Slávka Čarnická

Slávka Čarnická is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Emergency Medicine, having authored 27 papers that have together received 437 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (22 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Anesthesia and Neurotoxicity Research (6 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Arrest and Resuscitation (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Mitochondrial Function and Pathology (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (57 citations), Pathology and Forensic Medicine (231 citations), Emergency Medicine (82 citations), Cardiology and Cardiovascular Medicine (165 citations) and Molecular Biology (220 citations). Slávka Čarnická has collaborated with scholars based in Slovakia, Greece and Czechia. Frequent co-authors include T Ravíngerová, Adriana Adameová, D Pancza, Adrián Szobi, Antigone Lazou, Eleftheria Galatou, Monika Barteková, Vinoth Kumar Megraj Khandelwal, František Kolář and Miroslav Ferko. Their work appears in journals such as Physiological Research, Canadian Journal of Physiology and Pharmacology, Cardiovascular Research, Data in Brief and Current Pharmaceutical Design.

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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