Igor Nykl

409 total citations
11 papers, 190 citations indexed

About

Igor Nykl is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Igor Nykl has authored 11 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Surgery. Recurrent topics in Igor Nykl's work include Blood Pressure and Hypertension Studies (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Hormonal Regulation and Hypertension (4 papers). Igor Nykl is often cited by papers focused on Blood Pressure and Hypertension Studies (6 papers), Cardiac Arrhythmias and Treatments (4 papers) and Hormonal Regulation and Hypertension (4 papers). Igor Nykl collaborates with scholars based in Czechia and France. Igor Nykl's co-authors include Marian Branny, Otakar Jiravský, Branislav Štrauch, J. Rosa, Petr Waldauf, Robert Holaj, J. Václavík, Eva Kociánová, Zuzana Šomlóová and Karol Čurila and has published in prestigious journals such as Hypertension, Journal of Hypertension and Journal of Cardiovascular Electrophysiology.

In The Last Decade

Igor Nykl

10 papers receiving 185 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Igor Nykl Czechia 4 184 51 37 22 19 11 190
Otakar Jiravský Czechia 9 413 2.2× 49 1.0× 36 1.0× 36 1.6× 19 1.0× 50 443
Vibeke N. Kjær Norway 4 201 1.1× 54 1.1× 54 1.5× 32 1.5× 38 2.0× 8 216
Christian Rump Germany 4 177 1.0× 53 1.0× 48 1.3× 32 1.5× 28 1.5× 5 211
Ulla Hjørnholm Norway 4 219 1.2× 55 1.1× 51 1.4× 34 1.5× 47 2.5× 10 229
Věra Baranová United States 4 426 2.3× 34 0.7× 35 0.9× 62 2.8× 20 1.1× 10 436
Martin Petzold Germany 3 269 1.5× 66 1.3× 81 2.2× 35 1.6× 60 3.2× 3 282
Willemien L. Verloop Netherlands 9 252 1.4× 50 1.0× 33 0.9× 47 2.1× 19 1.0× 16 288
Philipp Hartung Germany 8 220 1.2× 31 0.6× 46 1.2× 54 2.5× 33 1.7× 16 256
Markus Suppan Austria 2 81 0.4× 15 0.3× 29 0.8× 16 0.7× 9 0.5× 4 87
Neil C. Barman United States 6 160 0.9× 31 0.6× 39 1.1× 38 1.7× 32 1.7× 10 197

Countries citing papers authored by Igor Nykl

Since Specialization
Citations

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

Fields of papers citing papers by Igor Nykl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Nykl

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

All Works

11 of 11 papers shown
1.
Rosa, J., J Kvasnička, Lukáš Lambert, et al.. (2018). PREDICTION OF LONG-TERM RENAL DENERVATION EFFICACY. Journal of Hypertension. 36(Supplement 1). e48–e48. 1 indexed citations
2.
Rosa, J., Petr Waldauf, Lukáš Lambert, et al.. (2016). [OP.7D.09] THE ROLE OF ADDING SPIRONOLACTONE AND RENAL DENERVATION IN TRUE RESISTANT HYPERTENSION. ONE-YEAR OUTCOMES OF RANDOMIZED PRAGUE-15 STUDY. Journal of Hypertension. 34(Supplement 2). e96–e97. 1 indexed citations
3.
Peter, Lukáš, et al.. (2016). Comparison of methods for the evaluation of NIBP from pulse transit time. PubMed. 2016. 4244–4247. 1 indexed citations
4.
Jiravský, Otakar, et al.. (2015). Effect of renal denervation on glucose metabolism after a 12 month follow-up. Biomedical Papers. 159(2). 246–250. 4 indexed citations
5.
Rosa, J., Petr Widimský, Petr Toušek, et al.. (2014). Randomized Comparison of Renal Denervation Versus Intensified Pharmacotherapy Including Spironolactone in True-Resistant Hypertension. Hypertension. 65(2). 407–413. 123 indexed citations
7.
Poloczek, Martin, et al.. (2012). Renal denervation in the treatment of resistant arterial hypertension and other perspectives. Cor et Vasa. 54(5-6). e202–e208.
8.
Fiala, Martin, Jan Chovančík, Radek Neuwirth, et al.. (2008). Pulmonary vein isolation using segmental versus electroanatomical circumferential ablation for paroxysmal atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 22(1). 13–21. 35 indexed citations
10.
Fiala, Martin, Jan Chovančík, Otakar Jiravský, et al.. (2007). [Recurrent arrhythmias after catheter ablation of originally paroxysmal atrial fibrillation and results of repeat ablation].. PubMed. 53(12). 1248–54. 1 indexed citations
11.
Fiala, Martin, et al.. (2006). [Sustained monomorphic ventricular tachycardia in patients with structural heart disease. Different arrhythmogenic substrates, different options of palliative and curative treatment in the era of three-dimensional mapping].. PubMed. 52(6). 577–89. 1 indexed citations

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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