Nilesh Sutaria

1.1k citations
32 papers · 487 indexed · 1 hit paper · h-index 14

Nilesh Sutaria

30 papers receiving 468 citations

Hit Papers

The assessment of left ventricular diastolic function: gu...4120242026202510203040

Peers

Nilesh Sutaria
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 380
  • Epidemiology 186
  • Health Informatics 6
  • Radiology, Nuclear Medicine and Imaging 96
  • Pulmonary and Respiratory Medicine 114
Replace Bhupendar Tayal with:
Bhupendar Tayal Denmark
James Shambrook United Kingdom
Sanne Kuipers Netherlands
Pascal Guéret France
Brian Sinclair United States
Ellen Ostenfeld Sweden
You‐Bin Deng China
Dustin Kliner United States
P Aubry France
Thomas Rehak Austria
Nilesh Sutaria relative to Bhupendar Tayal Denmark Bhupendar Tayal's profile →
Citations per field
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Bhupendar Tayal · 1×
Citations per year

Countries citing papers authored by Nilesh Sutaria

Since Specialization
Citations

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

Fields of papers citing papers by Nilesh Sutaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
The assessment of left ventricular diastolic function: guidance and recommendations from the British Society of Echocardiographybreakdown →
202441
2 20232
3 20213
4 20207
5 202037
6 20194
7 201614
8 20147
9 201339
10 201217
11 20120
12 20117
13 20092
14 20062
15 20059
16 200522
17 200017
18 20003
19 200012
20 199513

About Nilesh Sutaria

Nilesh Sutaria is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 32 papers that have together received 487 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (17 papers), Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (8 papers), Infective Endocarditis Diagnosis and Management (7 papers), Cardiac Arrhythmias and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Advanced MRI Techniques and Applications (4 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (380 citations), Epidemiology (186 citations) and Health Informatics (6 citations). Nilesh Sutaria has collaborated with scholars based in United Kingdom, Italy and Türkiye. Frequent co-authors include Dárrel P. Francis, Jamil Mayet, Matthew Shun‐Shin, Iqbal Malik, Yousif Ahmad, Ahran Arnold, Sayan Sen, Ben Ariff, James P. Howard and Justin E. Davies. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and The American Journal of Cardiology.

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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