Csaba Jenei

711 total citations
29 papers, 499 citations indexed

About

Csaba Jenei is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Csaba Jenei has authored 29 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Csaba Jenei's work include Cardiac Imaging and Diagnostics (14 papers), Coronary Interventions and Diagnostics (12 papers) and Cardiovascular Function and Risk Factors (6 papers). Csaba Jenei is often cited by papers focused on Cardiac Imaging and Diagnostics (14 papers), Coronary Interventions and Diagnostics (12 papers) and Cardiovascular Function and Risk Factors (6 papers). Csaba Jenei collaborates with scholars based in Hungary, Italy and Netherlands. Csaba Jenei's co-authors include Luigi P. Badano, Denisa Muraru, G Romeo, Umberto Cucchini, Antonella Cecchetto, Davide Ermacora, Veronica Spadotto, Patrizia Aruta, Sabino Iliceto and Federico Veronesi and has published in prestigious journals such as European Heart Journal, JACC. Cardiovascular imaging and Journal of Visualized Experiments.

In The Last Decade

Csaba Jenei

25 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Csaba Jenei Hungary 8 366 148 135 114 90 29 499
Domenico Sirico Italy 11 266 0.7× 116 0.8× 141 1.0× 132 1.2× 69 0.8× 47 438
Carlotta Sciaccaluga Italy 13 335 0.9× 78 0.5× 52 0.4× 148 1.3× 85 0.9× 42 518
Vishal Sharma United Kingdom 12 334 0.9× 66 0.4× 105 0.8× 92 0.8× 66 0.7× 26 456
Yong-Jin Kim South Korea 13 497 1.4× 127 0.9× 166 1.2× 131 1.1× 155 1.7× 49 655
Rushi V. Parikh United States 11 152 0.4× 81 0.5× 60 0.4× 138 1.2× 91 1.0× 52 417
Isabella Leo Italy 11 228 0.6× 54 0.4× 75 0.6× 89 0.8× 95 1.1× 55 357
Nurgül Keser Türkiye 13 249 0.7× 91 0.6× 70 0.5× 97 0.9× 77 0.9× 36 385
Jean‐Christophe Macia France 14 476 1.3× 86 0.6× 159 1.2× 212 1.9× 184 2.0× 44 707
Kuldeep Shah United States 10 364 1.0× 62 0.4× 90 0.7× 70 0.6× 86 1.0× 45 521
Frederick A. Dressler United States 8 252 0.7× 177 1.2× 120 0.9× 76 0.7× 67 0.7× 16 482

Countries citing papers authored by Csaba Jenei

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Jenei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Jenei

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Jenei. A scholar is included among the top collaborators of Csaba Jenei 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 Csaba Jenei. Csaba Jenei 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
2.
3.
Jenei, Csaba, et al.. (2021). Role of 3D Echocardiography-Determined Atrial Volumes in Distinguishing Between Pre-Capillary and Post-Capillary Pulmonary Hypertension. ESC Heart Failure. 8(5). 3975–3983. 2 indexed citations
4.
Csanádi, Zoltán, Judit Boczán, Judit Barta, et al.. (2021). Sympathetic Activation in Heart Failure with Reduced and Mildly Reduced Ejection Fraction: The Role of Aetiology. ESC Heart Failure. 8(6). 5112–5120. 4 indexed citations
5.
Jenei, Csaba, Balázs Tar, Gábor Szabó, et al.. (2021). Simplified coronary flow reserve calculations based on three-dimensional coronary reconstruction and intracoronary pressure data. Cardiology Journal. 30(4). 516–525. 5 indexed citations
7.
Tar, Balázs, Csaba Jenei, Gábor Szabó, et al.. (2020). Hyperemic contrast velocity assessment improves accuracy of the image-based fractional flow reserve calculation. Cardiology Journal. 28(1). 163–165. 2 indexed citations
8.
Jenei, Csaba, et al.. (2020). Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins. Journal of Visualized Experiments. 2 indexed citations
9.
Jenei, Csaba, et al.. (2019). Three-dimensional evaluation of the spatial morphology of stented coronary artery segments in relation to restenosis. International journal of cardiac imaging. 35(10). 1755–1763. 3 indexed citations
10.
Tar, Balázs, Csaba Jenei, Csaba András Dézsi, et al.. (2018). Less invasive fractional flow reserve measurement from 3-dimensional quantitative coronary angiography and classic fluid dynamic equations. EuroIntervention. 14(8). 942–950. 15 indexed citations
11.
Addetia, Karima, Denisa Muraru, Federico Veronesi, et al.. (2017). 3-Dimensional Echocardiographic Analysis of the Tricuspid Annulus Provides New Insights Into Tricuspid Valve Geometry and Dynamics. JACC. Cardiovascular imaging. 12(3). 401–412. 107 indexed citations
13.
Muraru, Denisa, Veronica Spadotto, Antonella Cecchetto, et al.. (2015). New speckle-tracking algorithm for right ventricular volume analysis from three-dimensional echocardiographic data sets: validation with cardiac magnetic resonance and comparison with the previous analysis tool. European Heart Journal - Cardiovascular Imaging. 17(11). 1279–1289. 165 indexed citations
14.
Tar, Balázs, Ferenc Molnár, Péter Polgàr, et al.. (2014). The laminar resistance of the coronary segment between the lesion and the sensor of the pressure wire significantly influences the fractional flow reserve. European Heart Journal. 35. 812–812.
15.
Kőszegi, Zsolt, et al.. (2014). Optical coherence tomography imaging of intrastent neointimal bridge caused by semicircumferencial dissection after drug eluting balloon dilatation of instent restenosis of sapheneous venous graft. Anadolu Kardiyoloji Dergisi/The Anatolian Journal of Cardiology. 14(2). E5–E5. 1 indexed citations
16.
Szabó, Gábor, Ildikó Rácz, Balázs Tar, et al.. (2014). Relationship between reversibility score on corresponding left ventricular segments and fractional flow reserve in coronary artery disease. The Anatolian Journal of Cardiology. 15(16). 469–474. 3 indexed citations
17.
Jenei, Csaba, et al.. (2013). Webbase Online Consulting System for quasi real time consultations of cardiac images. Computing in Cardiology Conference. 975–978. 1 indexed citations
18.
Kőszegi, Zsolt, László Balkay, László Galuska, et al.. (2007). Holistic polar map for integrated evaluation of cardiac imaging results. Computerized Medical Imaging and Graphics. 31(7). 577–586. 7 indexed citations
19.
Bárdi, Edit, Csaba Jenei, & Csongor Kiss. (2005). Polymorphism of angiotensin converting enzyme is associated with severe circulatory compromise in febrile neutropenic children with cancer. Pediatric Blood & Cancer. 45(2). 217–221. 4 indexed citations
20.
Bárdi, Edit, Anna V. Oláh, Emõke Endreffy, et al.. (2004). Late effects on renal glomerular and tubular function in childhood cancer survivors. Pediatric Blood & Cancer. 43(6). 668–673. 34 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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