Ayaz Aghayev

2.2k total citations · 1 hit paper
65 papers, 1.4k citations indexed

About

Ayaz Aghayev is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ayaz Aghayev has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in Ayaz Aghayev's work include Cardiac Imaging and Diagnostics (17 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Cardiac Valve Diseases and Treatments (7 papers). Ayaz Aghayev is often cited by papers focused on Cardiac Imaging and Diagnostics (17 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Cardiac Valve Diseases and Treatments (7 papers). Ayaz Aghayev collaborates with scholars based in United States, Canada and Switzerland. Ayaz Aghayev's co-authors include Michael L. Steigner, Ron Blankstein, Raymond Y. Kwong, Christoph Gräni, Kyoichi Kaneko, Michael Jerosch‐Herold, David J. Murphy, Vikram Agarwal, Christian Eichhorn and Venkatesh L. Murthy 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

Ayaz Aghayev

62 papers receiving 1.4k citations

Hit Papers

Prognostic Value of Cardiac Magnetic Resonance Tissue Cha... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayaz Aghayev United States 19 836 474 353 240 207 65 1.4k
Fernando R. Gutiérrez United States 22 606 0.7× 339 0.7× 613 1.7× 403 1.7× 158 0.8× 62 1.5k
Fernando R. Gutiérrez United States 18 576 0.7× 474 1.0× 376 1.1× 407 1.7× 56 0.3× 57 1.3k
Jacobo Kirsch United States 21 417 0.5× 540 1.1× 317 0.9× 297 1.2× 83 0.4× 78 1.3k
Pascal Lim France 27 1.8k 2.1× 837 1.8× 498 1.4× 453 1.9× 56 0.3× 92 2.4k
Andetta R. Hunsaker United States 23 205 0.2× 483 1.0× 273 0.8× 124 0.5× 283 1.4× 56 1.4k
Mordehay Vaturi Israel 21 1.4k 1.6× 485 1.0× 417 1.2× 612 2.5× 43 0.2× 94 1.6k
Giuseppe Ferrante Italy 27 1.2k 1.4× 461 1.0× 1.4k 3.9× 146 0.6× 176 0.9× 87 2.2k
Doo Kyoung Kang South Korea 22 190 0.2× 971 2.0× 253 0.7× 94 0.4× 162 0.8× 72 1.5k
Karin E. Dill United States 18 696 0.8× 1.1k 2.2× 778 2.2× 229 1.0× 64 0.3× 60 2.1k
Leor Perl Israel 15 557 0.7× 94 0.2× 259 0.7× 141 0.6× 126 0.6× 103 824

Countries citing papers authored by Ayaz Aghayev

Since Specialization
Citations

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

Fields of papers citing papers by Ayaz Aghayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayaz Aghayev

This figure shows the co-authorship network connecting the top 25 collaborators of Ayaz Aghayev. A scholar is included among the top collaborators of Ayaz Aghayev 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 Ayaz Aghayev. Ayaz Aghayev 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.
Gupta, Sumit, et al.. (2024). Under pressure: a head-to-toe review of vascular compression syndromes. Clinical Radiology. 79(10). 722–735.
2.
Mitchell, Richard N., et al.. (2024). Multimodality imaging of pulmonary artery aneurysms due to giant cell arteritis: a case series. The International Journal of Cardiovascular Imaging. 41(3). 631–638. 1 indexed citations
4.
Ge, Yin, Panagiotis Antiochos, Ayako Seno, et al.. (2023). Diagnostic Impact and Prognostic Value of Cardiac Magnetic Resonance in Patients With Ventricular Arrhythmias. JACC. Cardiovascular imaging. 16(12). 1536–1549. 2 indexed citations
5.
Aghayev, Ayaz & Michael L. Steigner. (2023). Magnetic Resonance Angiography of the Arteries of the Upper and Lower Extremities. Magnetic Resonance Imaging Clinics of North America. 31(3). 361–372. 4 indexed citations
6.
Weber, Brittany, Julie J. Paik, Ayaz Aghayev, et al.. (2023). Novel Imaging Approaches to Cardiac Manifestations of Systemic Inflammatory Diseases. Journal of the American College of Cardiology. 82(22). 2128–2151. 22 indexed citations
7.
Ak, Murat, Ayaz Aghayev, Chung‐Chou H. Chang, et al.. (2022). The Resolution Rate of Pulmonary Embolism on CT Pulmonary Angiography: a Prospective Study. European Journal of Radiology. 155. 110466–110466. 1 indexed citations
8.
Aghayev, Ayaz, et al.. (2021). Transplant renal artery and vein occlusion evaluated with ferumoxytol-enhanced magnetic resonance angiography. Clinical Imaging. 77. 142–146. 2 indexed citations
9.
Li, Yi, et al.. (2021). Potential Role of 3-Dimensional Printed Vascular Models in Maintenance Hemodialysis Care. Kidney Medicine. 3(6). 1095–1098. 2 indexed citations
10.
Fischer, Kady, Kyoichi Kaneko, Dominik P. Guensch, et al.. (2020). Feature Tracking Myocardial Strain Incrementally Improves Prognostication in Myocarditis Beyond Traditional CMR Imaging Features. JACC. Cardiovascular imaging. 13(9). 1891–1901. 105 indexed citations
11.
Harloff, Morgan, et al.. (2020). Hybrid valve-in-valve mitral valve replacement. JTCVS Techniques. 3. 154–156. 1 indexed citations
12.
Ge, Yin, Panagiotis Antiochos, Iqra Qamar, et al.. (2020). DIAGNOSTIC IMPACT AND PROGNOSTIC VALUE OF CARDIAC MRI IN PATIENTS WITH VENTRICULAR ARRHYTHMIAS. Journal of the American College of Cardiology. 75(11). 3665–3665. 2 indexed citations
13.
Sainani, Nisha I., et al.. (2019). Imaging findings during and after percutaneous cryoablation of hepatic tumors. Abdominal Radiology. 44(7). 2602–2626. 7 indexed citations
14.
Murphy, David J., Ayaz Aghayev, & Michael L. Steigner. (2018). Vascular CT and MRI: a practical guide to imaging protocols. Insights into Imaging. 9(2). 215–236. 51 indexed citations
15.
Aghayev, Ayaz, David J. Murphy, Abhishek Keraliya, & Michael L. Steigner. (2016). Recent developments in the use of computed tomography scanners in coronary artery imaging. Expert Review of Medical Devices. 13(6). 545–553. 24 indexed citations
16.
Murphy, David J., et al.. (2016). Cross-sectional imaging of aortic infections. Insights into Imaging. 7(6). 801–818. 19 indexed citations
17.
Kumamaru, Kanako K., Sachin S. Saboo, Ayaz Aghayev, et al.. (2016). CT pulmonary angiography-based scoring system to predict the prognosis of acute pulmonary embolism. Journal of cardiovascular computed tomography. 10(6). 473–479. 34 indexed citations
18.
Keraliya, Abhishek, David J. Murphy, Michael L. Steigner, & Ayaz Aghayev. (2015). Cardiac metastasis from renal cell carcinoma in cardiac CT. Journal of cardiovascular computed tomography. 10(4). 337–338. 1 indexed citations
19.
Aghayev, Ayaz & Servet Tatlı. (2013). The use of cryoablation in treating liver tumors. Expert Review of Medical Devices. 11(1). 41–52. 14 indexed citations
20.
Furlan, Alessandro, Ayaz Aghayev, Chung-Chou H. Chang, et al.. (2012). Short-term Mortality in Acute Pulmonary Embolism: Clot Burden and Signs of Right Heart Dysfunction at CT Pulmonary Angiography. Radiology. 265(1). 283–293. 151 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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