István Préda

1.8k total citations
57 papers, 1.0k citations indexed

About

István Préda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, István Préda has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in István Préda's work include Cardiac pacing and defibrillation studies (16 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac Arrhythmias and Treatments (10 papers). István Préda is often cited by papers focused on Cardiac pacing and defibrillation studies (16 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac Arrhythmias and Treatments (10 papers). István Préda collaborates with scholars based in Hungary, Canada and United States. István Préda's co-authors include Karl Swedberg, Ferenc Folláth, Antonello Gavazzi, Hugo Madeira, J Widimský, John G.F. Cleland, Richard Hobbs, Nick Freemantle, Alain Cohen‐Solal and Wiek H. van Gilst and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

István Préda

53 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
István Préda Hungary 13 812 133 102 79 78 57 1.0k
Marcel A.J. Landman Netherlands 7 729 0.9× 94 0.7× 105 1.0× 97 1.2× 61 0.8× 11 892
Marisa Crespo Leiro Spain 4 799 1.0× 92 0.7× 104 1.0× 131 1.7× 35 0.4× 7 900
Alexander Limburg Netherlands 5 634 0.8× 82 0.6× 106 1.0× 87 1.1× 61 0.8× 9 791
Catherine N. Marti United States 13 709 0.9× 83 0.6× 98 1.0× 118 1.5× 52 0.7× 24 982
Evelien E.S. van Riet Netherlands 5 605 0.7× 72 0.5× 89 0.9× 116 1.5× 57 0.7× 6 763
Hugo Madeira Portugal 10 786 1.0× 93 0.7× 55 0.5× 97 1.2× 31 0.4× 34 872
Carmel Conlon Ireland 10 990 1.2× 83 0.6× 134 1.3× 128 1.6× 122 1.6× 19 1.1k
Kim P. Wagenaar Netherlands 6 534 0.7× 61 0.5× 72 0.7× 55 0.7× 44 0.6× 7 646
Koji Takagi France 10 537 0.7× 111 0.8× 103 1.0× 161 2.0× 22 0.3× 43 844
Marija Polovina Serbia 19 914 1.1× 124 0.9× 100 1.0× 74 0.9× 86 1.1× 55 1.1k

Countries citing papers authored by István Préda

Since Specialization
Citations

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

Fields of papers citing papers by István Préda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Préda

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

All Works

20 of 20 papers shown
1.
Hizoh, István, Zsófia Sztupinszki, Andrea Kovács, et al.. (2013). High on clopidogrel treatment platelet reactivity is frequent in acute and rare in elective stenting and can be functionally overcome by switch of therapy. Thrombosis Research. 133(2). 257–264. 8 indexed citations
2.
Csuka, Dorottya, Andrea Kovács, Andrea Molnár, et al.. (2012). Elevated C1rC1sC1inh levels independently predict atherosclerotic coronary heart disease. Molecular Immunology. 54(1). 8–13. 10 indexed citations
3.
Tárnoki, Ádám Domonkos, Dávid László Tárnoki, Levente Littvay, et al.. (2012). Heritability of non‐alcoholic fatty liver disease and association with abnormal vascular parameters: A twin study. Liver International. 32(8). 1287–1293. 42 indexed citations
4.
5.
Préda, István, et al.. (2010). Diagnostic value of the left atrial electrical potentials detected by body surface potential mapping in the prediction of coronary artery disease. International Journal of Cardiology. 150(3). 315–318. 2 indexed citations
6.
Préda, István, et al.. (2009). Beat-to-beat interplay of heart rate, ventricular depolarization, and repolarization. Journal of Electrocardiology. 43(1). 15–24. 8 indexed citations
7.
Merkely, Béla, Emese Tóth-Zsámboki, Dávid Becker, et al.. (2009). Very late drug-eluting stent thrombosis after nonsteroidal anti-inflammatory drug treatment despite dual antiplatelet therapy. Canadian Journal of Cardiology. 25(4). 229–232. 3 indexed citations
8.
Nadeau, Réginald, et al.. (2008). Diagnosis and discrimination of remote antero- and inferoseptal non-Q wave myocardial infarctions with body surface potential mapping. Canadian Journal of Cardiology. 24(1). 53–55. 4 indexed citations
9.
Tóth-Zsámboki, Emese, et al.. (2007). Circulating endothelial cell count, plasma vWF and soluble ICAM-1 levels following primary or elective percutaneous coronary intervention. Atherosclerosis. 198(2). 366–372. 11 indexed citations
10.
Kiss, Róbert Gábor, et al.. (2005). Inverse correlation between coronary blood flow velocity and sICAM-1 level observed in ischemic heart disease patients. Atherosclerosis. 188(1). 142–149. 8 indexed citations
11.
Duray, Gábor Zoltán, et al.. (2002). Body Surface Potential Mapping: Historical Background, Present Possibilities, Diagnostic Challenges. Annals of Noninvasive Electrocardiology. 7(2). 139–151. 23 indexed citations
12.
Cleland, John G.F., Karl Swedberg, Alain Cohen‐Solal, et al.. (2000). The Euro Heart Failure Survey of The EUROHEART Survey Programme: A Survey on the Quality of Care Among Patients with Heart Failure in Europe. European Journal of Heart Failure. 2(2). 123–132. 110 indexed citations
13.
Pintér, Arnold, et al.. (2000). Muscle Stimulation Related to a Nonfunctioning Epicardial Pacemaker Electrode. Pacing and Clinical Electrophysiology. 23(7). 1187–1188.
14.
Pintér, Arnold, et al.. (1999). Peripheral Pulmonary Migration of a Retained Pacemaker Lead. Pacing and Clinical Electrophysiology. 22(8). 1272–1273. 2 indexed citations
15.
Préda, István, et al.. (1999). How the Medical System Manages Patients with Suspected or Confirmed Heart Failure in Hungary. European Journal of Heart Failure. 1(3). 303–304. 1 indexed citations
16.
Pintér, Arnold, et al.. (1998). QT Dependent T Wave Sensing. Pacing and Clinical Electrophysiology. 21(7). 1490–1491. 8 indexed citations
17.
Nyolczas, Noémi, et al.. (1995). [Prognostic value of exercise parameters and simple non-invasive variables of left ventricular function in dilated cardiomyopathy].. PubMed. 136(33). 1763–8. 1 indexed citations
18.
Préda, István, Réginald Nadeau, P. Savard, et al.. (1994). QRS alterations in body surface potential distributions during percutaneous transluminal coronary angioplasty in single-vessel disease. Journal of Electrocardiology. 27(4). 311–322. 9 indexed citations
19.
Gulrajani, R.M., et al.. (1993). A computer heart model incorporating anisotropic propagation. Journal of Electrocardiology. 26(4). 263–277. 33 indexed citations
20.
Préda, István, et al.. (1975). Myocardial noradrenaline uptake after coronary occlusion in the rat.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 46(2). 99–106. 2 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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