Slávka Čarnická

35 total papers · 494 total citations
27 papers, 432 citations indexed

About

Slávka Čarnická is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Slávka Čarnická has authored 27 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 15 papers in Molecular Biology and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Slávka Čarnická's work include Cardiac Ischemia and Reperfusion (22 papers), Anesthesia and Neurotoxicity Research (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Slávka Čarnická is often cited by papers focused on Cardiac Ischemia and Reperfusion (22 papers), Anesthesia and Neurotoxicity Research (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Slávka Čarnická collaborates with scholars based in Slovakia, Greece and Czechia. Slávka Čarnická's co-authors include T Ravíngerová, Adriana Adameová, D Pancza, Adrián Szobi, Antigone Lazou, Eleftheria Galatou, Monika Barteková, František Kolář, Vinoth Kumar Megraj Khandelwal and Miroslav Ferko and has published in prestigious journals such as Cardiovascular Research, European Journal of Pharmacology and Current Pharmaceutical Design.

In The Last Decade

Slávka Čarnická

27 papers receiving 430 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Slávka Čarnická 229 216 165 82 57 27 432
Rong‐Rui Zhao 110 0.5× 177 0.8× 183 1.1× 54 0.7× 45 0.8× 30 439
Verónica D’Annunzio 204 0.9× 129 0.6× 92 0.6× 114 1.4× 82 1.4× 26 442
Nehmat Ghaboura 176 0.8× 122 0.6× 64 0.4× 77 0.9× 89 1.6× 24 459
Joy McCarthy 189 0.8× 173 0.8× 226 1.4× 80 1.0× 34 0.6× 14 476
János Palóczi 136 0.6× 193 0.9× 118 0.7× 35 0.4× 35 0.6× 21 466
Ruduwaan Salie 147 0.6× 156 0.7× 125 0.8× 56 0.7× 36 0.6× 19 447
Daniel A. Velez 291 1.3× 107 0.5× 144 0.9× 113 1.4× 89 1.6× 15 476
Tohru Hasegawa 122 0.5× 104 0.5× 101 0.6× 50 0.6× 37 0.6× 36 463
Kadambari Chandra Shekar 83 0.4× 191 0.9× 94 0.6× 62 0.8× 21 0.4× 18 392
Yuzo Akita 112 0.5× 225 1.0× 144 0.9× 26 0.3× 23 0.4× 26 415

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-authorship network of co-authors of Slávka Čarnická

This figure shows the co-authorship network connecting the top 25 collaborators of Slávka Čarnická. A scholar is included among the top collaborators of Slávka Čarnická 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 Slávka Čarnická. Slávka Čarnická is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026