Ben Ariff

3.0k total citations
65 papers, 1.8k citations indexed

About

Ben Ariff is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ben Ariff has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cardiology and Cardiovascular Medicine, 29 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ben Ariff's work include Cardiac Imaging and Diagnostics (24 papers), Cardiovascular Health and Disease Prevention (18 papers) and Cerebrovascular and Carotid Artery Diseases (17 papers). Ben Ariff is often cited by papers focused on Cardiac Imaging and Diagnostics (24 papers), Cardiovascular Health and Disease Prevention (18 papers) and Cerebrovascular and Carotid Artery Diseases (17 papers). Ben Ariff collaborates with scholars based in United Kingdom, Belgium and United States. Ben Ariff's co-authors include Simon Thom, Alun D. Hughes, Xiao Yun Xu, Quan Long, Alice Stanton, Sarah Zhao, Kim Rajappan, Paolo G. Camici, Desmond J. Sheridan and David P. Dutka and has published in prestigious journals such as Circulation, Stroke and Scientific Reports.

In The Last Decade

Ben Ariff

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Ariff United Kingdom 22 1.1k 628 605 590 218 65 1.8k
Scott Semple United Kingdom 25 1.1k 0.9× 424 0.7× 351 0.6× 1.0k 1.7× 378 1.7× 78 2.3k
Toshihisa Asakura Japan 12 476 0.4× 670 1.1× 368 0.6× 250 0.4× 107 0.5× 78 1.2k
Jan‐Willem Lankhaar Netherlands 8 1.4k 1.3× 457 0.7× 1.0k 1.7× 217 0.4× 260 1.2× 9 1.9k
Saurabh S. Dhawan United States 17 785 0.7× 886 1.4× 417 0.7× 559 0.9× 108 0.5× 40 1.6k
Parham Eshtehardi United States 26 1.7k 1.5× 2.0k 3.1× 1.0k 1.7× 1.1k 1.9× 210 1.0× 69 3.0k
Alejandro Roldán‐Alzate United States 21 458 0.4× 212 0.3× 418 0.7× 356 0.6× 409 1.9× 74 1.1k
Amish N. Raval United States 22 901 0.8× 777 1.2× 472 0.8× 519 0.9× 263 1.2× 89 2.1k
Robert W Biederman United States 21 1.3k 1.1× 395 0.6× 451 0.7× 711 1.2× 187 0.9× 171 1.8k
Ernst Wellnhofer Germany 27 1.3k 1.1× 1.1k 1.8× 339 0.6× 942 1.6× 133 0.6× 106 2.5k
Alexander C. Bunck Germany 24 497 0.4× 393 0.6× 294 0.5× 893 1.5× 177 0.8× 101 2.0k

Countries citing papers authored by Ben Ariff

Since Specialization
Citations

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

Fields of papers citing papers by Ben Ariff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Ariff

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Ariff. A scholar is included among the top collaborators of Ben Ariff 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 Ben Ariff. Ben Ariff 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.
Hajhosseiny, Reza, Camila Muñoz, Amarjit Sethi, et al.. (2025). Free-breathing, non-contrast, three-dimensional whole-heart coronary magnetic resonance imaging for the identification of culprit and vulnerable atherosclerotic plaque. Journal of Cardiovascular Magnetic Resonance. 27(1). 101898–101898.
2.
Vimalesvaran, Kavitha, Sameer Zaman, James P. Howard, et al.. (2024). Aortic stenosis assessment from the 3-chamber cine: Ratio of balanced steady-state-free-precession (bSSFP) blood signal between the aorta and left ventricle predicts severity. Journal of Cardiovascular Magnetic Resonance. 26(1). 100005–100005.
3.
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5.
Jabbour, Richard J., et al.. (2020). Imaging of transcatheter aortic valve replacement complications. Clinical Radiology. 76(1). 27–37. 4 indexed citations
6.
Tombetti, Enrico, Claudia Godi, Alessandro Ambrosi, et al.. (2018). Novel Angiographic Scores for evaluation of Large Vessel Vasculitis. Scientific Reports. 8(1). 15979–15979. 33 indexed citations
7.
Pabari, Punam, et al.. (2018). Aortic valve chordae tendineae causing aortic insufficiency and mimicking an aortic root dissection flap. Journal of cardiovascular computed tomography. 12(4). e11–e12. 3 indexed citations
8.
Ng, Fu Siong, Ben Ariff, Prakash P Punjabi, et al.. (2016). Pyopneumopericardium Secondary to Pericardioesophageal Fistula After Radiofrequency Ablation of Atrial Fibrillation. JACC. Clinical electrophysiology. 2(3). 397–399. 2 indexed citations
9.
Ruparelia, Neil, Vasileios Panoulas, Angela Frame, et al.. (2016). Impact of clinical and procedural factors upon C reactive protein dynamics following transcatheter aortic valve implantation. World Journal of Cardiology. 8(7). 425–425. 14 indexed citations
10.
Ariff, Ben, Luke Howard, Declan P. O’Regan, et al.. (2015). Left Main Bronchus Compression Due to Main Pulmonary Artery Dilatation in Pulmonary Hypertension: Two Case Reports. Pulmonary Circulation. 5(4). 723–725. 7 indexed citations
11.
Zerizer, Imene, Adil Al‐Nahhas, David Towey, et al.. (2012). The role of early 18F-FDG PET/CT in prediction of progression-free survival after 90Y radioembolization: comparison with RECIST and tumour density criteria. European Journal of Nuclear Medicine and Molecular Imaging. 39(9). 1391–1399. 71 indexed citations
12.
O’Regan, Declan P., Ben Ariff, Clare Neuwirth, et al.. (2010). Assessment of severe reperfusion injury with T2* cardiac MRI in patients with acute myocardial infarction. Heart. 96(23). 1885–1891. 57 indexed citations
13.
Ariff, Ben, Sameer Khan, Mohamed Shariff, et al.. (2009). Imaging of liver cancer. World Journal of Gastroenterology. 15(11). 1289–1289. 75 indexed citations
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15.
Ariff, Ben, et al.. (2005). Operator dependence of 3-D ultrasound-based computational fluid dynamics for the carotid bifurcation. IEEE Transactions on Medical Imaging. 24(4). 451–456. 20 indexed citations
16.
Ariff, Ben, et al.. (2004). Influence of head position on carotid hemodynamics in young adults. American Journal of Physiology-Heart and Circulatory Physiology. 287(4). H1670–H1681. 24 indexed citations
17.
Ariff, Ben, Alun D. Hughes, Lindsey A. Crowe, et al.. (2004). Image-based carotid flow reconstruction: a comparison between MRI and ultrasound. Physiological Measurement. 25(6). 1495–1509. 48 indexed citations
18.
Long, Quan, Alun D. Hughes, Ben Ariff, et al.. (2003). Reproducibility Study of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Carotid Bifurcation Flow. Annals of Biomedical Engineering. 31(2). 142–151. 71 indexed citations
19.
Long, Quan, Ben Ariff, Sarah Zhao, et al.. (2003). Reproducibility study of 3D geometrical reconstruction of the human carotid bifurcation from magnetic resonance images. Magnetic Resonance in Medicine. 49(4). 665–674. 21 indexed citations
20.
Long, Quan, Xiao Yun Xu, Ben Ariff, et al.. (2000). Reconstruction of blood flow patterns in a human carotid bifurcation: A combined CFD and MRI study. Journal of Magnetic Resonance Imaging. 11(3). 299–311. 130 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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