Ben Ariff

3.0k citations
65 papers · 1.8k · h-index 22

Impact in

Papers in

Ben Ariff

57 papers receiving 1.7k citations

Peers

Ben Ariff
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 1.1k
  • Radiology, Nuclear Medicine and Imaging 590
  • Pulmonary and Respiratory Medicine 605
  • Surgery 628
  • Hepatology 92
Replace Toshihisa Asakura with:
Toshihisa Asakura Japan
Alejandro Roldán‐Alzate United States
Jan‐Willem Lankhaar Netherlands
Saurabh S. Dhawan United States
Parham Eshtehardi United States
Scott Semple United Kingdom
Robert W Biederman United States
Ernst Wellnhofer Germany
Alexander C. Bunck Germany
Masaki Ishida Japan
Ben Ariff relative to Toshihisa Asakura Japan Toshihisa Asakura's profile →
Citations per field
00.5×3.4×
Toshihisa Asakura · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ben Ariff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Ariff Line = papers co-authored together Ben Ariff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002246
2 2000216
3 2000130
4 2013113
5 2002101
6 200780
7 200975
8 200371
9 201271
10 201057
11 201754
12 200448
13 201339
14 200638
15 201833
16 200031
17 200930
18 201828
19 200527
20 200326

About Ben Ariff

Ben Ariff is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (24 papers), Cardiovascular Health and Disease Prevention (18 papers), Coronary Interventions and Diagnostics (17 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Cardiac Valve Diseases and Treatments (14 papers), Advanced MRI Techniques and Applications (11 papers), Cardiovascular Function and Risk Factors (9 papers) and Atrial Fibrillation Management and Outcomes (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (590 citations), Pulmonary and Respiratory Medicine (605 citations), Surgery (628 citations) and Hepatology (92 citations). Ben Ariff has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Simon Thom, Alun D. Hughes, Xiao Yun Xu, Quan Long, Alice Stanton, Sarah Zhao, Desmond J. Sheridan, Kim Rajappan, Dudley J. Pennell and Paolo G. Camici. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, British Journal of Radiology, Annals of the Rheumatic Diseases, Journal of Magnetic Resonance Imaging and Journal of Biomechanics.

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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