Attila Fehér

2.5k total citations
74 papers, 1.8k citations indexed

About

Attila Fehér is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Attila Fehér has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 25 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Attila Fehér's work include Cardiac Imaging and Diagnostics (23 papers), Cardiovascular Disease and Adiposity (12 papers) and Cardiovascular Function and Risk Factors (11 papers). Attila Fehér is often cited by papers focused on Cardiac Imaging and Diagnostics (23 papers), Cardiovascular Disease and Adiposity (12 papers) and Cardiovascular Function and Risk Factors (11 papers). Attila Fehér collaborates with scholars based in United States, United Kingdom and Canada. Attila Fehér's co-authors include Zsolt Bagi, Albert J. Sinusas, Anna Csiszár, Zoltán Ungvári, William E. Sonntag, Fabio A. Recchia, Rafael de Cabo, Kevin J. Pearson, James Cassuto and Zuzana Brosková and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Attila Fehér

67 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Attila Fehér United States 23 648 421 395 368 320 74 1.8k
Daiju Fukuda Japan 24 769 1.2× 223 0.5× 507 1.3× 228 0.6× 382 1.2× 98 2.0k
Takahisa Noma Japan 26 1.1k 1.6× 351 0.8× 877 2.2× 174 0.5× 333 1.0× 91 2.3k
Neel R. Sodha United States 24 713 1.1× 364 0.9× 688 1.7× 91 0.2× 530 1.7× 97 2.1k
Anton J.M. Roks Netherlands 29 1.5k 2.3× 377 0.9× 988 2.5× 218 0.6× 356 1.1× 84 3.0k
Marios Margaritis United Kingdom 18 887 1.4× 443 1.1× 345 0.9× 164 0.4× 604 1.9× 33 1.9k
Francesca Seta United States 26 497 0.8× 318 0.8× 548 1.4× 56 0.2× 193 0.6× 48 1.8k
Jin-Jer Chen Taiwan 23 617 1.0× 287 0.7× 675 1.7× 75 0.2× 236 0.7× 53 1.7k
Alexander Breitenstein Switzerland 21 565 0.9× 251 0.6× 262 0.7× 59 0.2× 341 1.1× 116 1.6k
Hsin-Bang Leu Taiwan 27 604 0.9× 333 0.8× 449 1.1× 99 0.3× 283 0.9× 54 1.8k
Yôko Okada Japan 23 482 0.7× 302 0.7× 316 0.8× 50 0.1× 197 0.6× 100 1.5k

Countries citing papers authored by Attila Fehér

Since Specialization
Citations

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

Fields of papers citing papers by Attila Fehér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Fehér

This figure shows the co-authorship network connecting the top 25 collaborators of Attila Fehér. A scholar is included among the top collaborators of Attila Fehér 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 Attila Fehér. Attila Fehér 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.
Williams, Kenneth, et al.. (2025). Coronary microvascular dysfunction in systemic inflammatory diseases: From pathophysiology and prevalence to diagnosis and management. Journal of Nuclear Cardiology. 53. 102504–102504.
2.
Csécs, Ibolya, et al.. (2025). Blunted hemodynamic response to pharmacological stress is predictive of mortality in liver transplant candidates. Journal of Nuclear Cardiology. 52. 102454–102454.
3.
Nene, Aishwarya, Jeph Herrin, Oyere Onuma, et al.. (2025). Evaluating Blood Pressure Response Patterns to Exercise Stress Testing. Hypertension. 82(10). 1663–1674.
4.
Williams, Kenneth R., et al.. (2025). CAD at the Intersection of Cardiology and Rheumatology: Focus on Cardiovascular Imaging. Methodist DeBakey Cardiovascular Journal. 21(4). 65–75.
5.
Miller, Robert J.H., Aakash Shanbhag, Alan Rozanski, et al.. (2025). Integrating perfusion with AI–derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging. Journal of Nuclear Cardiology. 53. 102482–102482.
6.
Miller, Robert J.H., Aakash Shanbhag, Aditya Killekar, et al.. (2024). AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. npj Digital Medicine. 7(1). 24–24. 15 indexed citations
7.
Feizi, Alborz, John C. Stendahl, Matthew Harris, et al.. (2024). Contrast‐enhanced computed tomography for ex vivo assessment of human kidneys: A proof‐of‐concept study. Artificial Organs. 48(12). 1536–1548. 1 indexed citations
8.
Williams, Michelle C., Aakash Shanbhag, Jianhang Zhou, et al.. (2024). Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry. European Heart Journal - Cardiovascular Imaging. 25(7). 976–985. 9 indexed citations
9.
Miller, Robert J.H., Aakash Shanbhag, Aditya Killekar, et al.. (2024). AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging. JACC. Cardiovascular imaging. 17(7). 780–791. 13 indexed citations
10.
Fehér, Attila, Edward J. Miller, Dana C. Peters, et al.. (2023). Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis. Rheumatology International. 43(5). 849–858. 8 indexed citations
11.
Fehér, Attila, Konrad Pieszko, Robert J.H. Miller, et al.. (2022). Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging. Journal of Nuclear Cardiology. 30(2). 590–603. 18 indexed citations
12.
Tian, Yanna, et al.. (2022). Role of Caveolae in the Development of Microvascular Dysfunction and Hyperglycemia in Type 2 Diabetes. Frontiers in Physiology. 13. 825018–825018. 4 indexed citations
13.
Fehér, Attila & Edward J. Miller. (2022). PET Myocardial Blood Flow for Post-transplant Surveillance and Cardiac Allograft Vasculopathy in Heart Transplant Recipients. Current Cardiology Reports. 24(12). 1865–1871. 5 indexed citations
14.
Gerlinger, Imre, et al.. (2020). Harmadikablak-szindróma – osztályozás, diagnózis, terápia. Orvosi Hetilap. 161(46). 1944–1952. 1 indexed citations
15.
Boutagy, Nabil E., Attila Fehér, Zhao Liu, et al.. (2020). Dual Angiotensin Receptor-Neprilysin Inhibition With Sacubitril/Valsartan Attenuates Systolic Dysfunction in Experimental Doxorubicin-Induced Cardiotoxicity. JACC CardioOncology. 2(5). 774–787. 32 indexed citations
16.
Boutagy, Nabil E., et al.. (2019). Molecular Imaging of the Heart. Comprehensive physiology. 9(2). 477–533. 5 indexed citations
17.
Wu, Jing, Nabil E. Boutagy, Attila Fehér, et al.. (2018). Dynamic SPECT imaging of 123I-mIBG for early detection of doxorubicin-induced cardiotoxicity in dogs. 59. 101–101. 1 indexed citations
18.
Kim, Jiwon, Polydoros Ν. Kampaktsis, Attila Fehér, et al.. (2014). Effect of Myocardial Perfusion Pattern on Frequency and Severity of Mitral Regurgitation in Patients With Known or Suspected Coronary Artery Disease. The American Journal of Cardiology. 114(3). 355–361. 10 indexed citations
19.
Bagi, Zsolt, Zuzana Brosková, & Attila Fehér. (2014). Obesity and Coronary Microvascular Disease – Implications for Adipose Tissue-Mediated Remote Inflammatory Response. Current Vascular Pharmacology. 12(3). 453–461. 40 indexed citations
20.
Fehér, Attila, Ibolya Rutkai, Timea Beleznai, et al.. (2010). Caveolin-1 limits the contribution of BK(Ca) channel to EDHF-mediated arteriolar dilation: implications in diet-induced obesity. Cardiovascular Research. 87(4). 732–739. 37 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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