Ben Ren

1.3k citations
92 papers · 1.0k · h-index 17

Impact in

Papers in

Ben Ren

84 papers receiving 983 citations

Peers

Ben Ren
Comparison fields: 5 of 73
  • Anesthesiology and Pain Medicine 163
  • Cardiology and Cardiovascular Medicine 600
  • Radiology, Nuclear Medicine and Imaging 141
  • Neurology 50
  • Epidemiology 186
Replace H. A. J. M. Kurvers with:
H. A. J. M. Kurvers Netherlands
Jason S. Bradfield United States
Carolina Ierardi Italy
Christelle Blanc France
Marc Hein Germany
ULRICH F. WOLFHARD Germany
Jason P. Joseph United States
Nilesh S. Mathuria United States
Aurora Baluja Spain
Yakup Ergül Türkiye
Ben Ren relative to H. A. J. M. Kurvers Netherlands H. A. J. M. Kurvers's profile →
Citations per field
00.5×5×10×15.4×
H. A. J. M. Kurvers · 1×
Citations per year

Countries citing papers authored by Ben Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ben Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Ren, 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 Ren Line = papers co-authored together Ben Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995115
2 201699
3 201837
4 199533
5 201731
6 199631
7 202029
8 202227
9 199526
10 202126
11 201725
12 201825
13 202124
14 199823
15 202321
16 201518
17 201517
18 201717
19 201416
20 201716

About Ben Ren

Ben Ren is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Anesthesiology and Pain Medicine and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (62 papers), Cardiovascular Function and Risk Factors (25 papers), Infective Endocarditis Diagnosis and Management (17 papers), Cardiac Imaging and Diagnostics (10 papers), Cardiac pacing and defibrillation studies (7 papers), Pain Management and Treatment (7 papers), Advanced MRI Techniques and Applications (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (163 citations), Cardiology and Cardiovascular Medicine (600 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Neurology (50 citations) and Epidemiology (186 citations). Ben Ren has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Bengt Linderoth, Björn A. Meyerson, Nicolas M. Van Mieghem, Marcel Leonard Geleijnse, Patrick Herregodts, ERNEST F. SPITZER, Peter P.T. de Jaegere, Osama I.I. Soliman, Nahid El Faquir and Zouhair Rahhab. Their work appears in journals such as JACC: Cardiovascular Interventions, EuroIntervention, International journal of cardiac imaging, Ultrasound in Medicine & Biology and European Heart Journal - Cardiovascular Imaging.

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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