🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sven Plein

Leeds General Infirmary

ORCID: 0000-0002-0997-4384

Also affiliated with University of Leeds, Leeds Teaching Hospitals NHS Trust

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

7.3Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Journal of Cardiovascular Magnetic Resonance(2013)10.1186/1532-429x-15-46

Top 2%

7.3DataRank

Top 2%274 citations

Paul M. Matthews, Fabian Bamberg, David A. Bluemke, Jane M Francis, Matthias G. Friedrich +12 more

Papers

Driven by 13 papers — median percentile 98. Top paper: “Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches”.

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Journal of Cardiovascular Magnetic Resonance(2013)10.1186/1532-429x-15-46

Top 2%

7.3DataRank

Top 2%274 citations

Paul M. Matthews, Fabian Bamberg, David A. Bluemke, Jane M Francis, Matthias G. Friedrich +12 more

Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update

Journal of Cardiovascular Magnetic Resonance(2020)10.1186/s12968-020-00610-6

N/A

1.0DataRank · unranked

922 citations

David A. Bluemke, Jens Bremerich, Scott D. Flamm, Mark A. Fogel, Matthias G. Friedrich +7 more

Liraglutide Improves Myocardial Perfusion and Energetics and Exercise Tolerance in Patients With Type 2 Diabetes

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.04.064

N/A

0.848DataRank · unranked

26 citations

Sharmaine Thirunavukarasu, Tobin Joseph, Nicholas Jex, Sindhoora Kotha, Marilena Giannoudi +14 more

Automated detection of left ventricle in arterial input function images for inline perfusion mapping using deep learning: A study of 15,000 patients

Magnetic Resonance in Medicine(2020)10.1002/mrm.28291

N/A

0DataRank · unranked

29 citations

Ethan Tseng, Kristopher Knott, Tushar Kotecha, Louise Brown, Sven Plein +4 more

Quantitative cardiovascular magnetic resonance myocardial perfusion mapping to assess hyperaemic response to adenosine stress

European Heart Journal - Cardiovascular Imaging(2020)10.1093/ehjci/jeaa252

N/A

0DataRank · unranked

25 citations

Juan Manuel Monteagudo Ruiz, Ana Martinez–Naharro, Liza Chacko, James Brown, Daniel Knight +11 more

Non-invasive imaging as the cornerstone of cardiovascular precision medicine

European Heart Journal - Cardiovascular Imaging(2021)10.1093/ehjci/jeab287

N/A

0DataRank · unranked

39 citations

Friedrich W. Fuchs, Alexandra Gonçalves, Claudia Kaiser‐Albers, Ziad A. Ali, Frank M. Bengel +10 more

Diagnostic accuracy of 4D flow MRI comparing 2mm3 and 3mm3 spatial resolution

European Heart Journal - Cardiovascular Imaging(2021)10.1093/ehjci/jeaa356.284

N/A

0DataRank · unranked

0 citations

David Shelley, H Michael, Pankaj Garg, JP Greenwood, Sven Plein +4 more

Using cardiovascular magnetic resonance to define mechanisms of comorbidity and to measure the effect of biological therapy: the CADERA observational study

Efficacy and Mechanism Evaluation(2021)10.3310/eme08040

N/A

0DataRank · unranked

0 citations

Bara Erhayiem, Graham Fent, Jacqueline Andrews, John P. Greenwood, Paul D. Baxter +4 more

Consensus on the assessment of systemic sclerosis–associated primary heart involvement: World Scleroderma Foundation/Heart Failure Association guidance on screening, diagnosis, and follow-up assessment

Journal of Scleroderma and Related Disorders(2023)10.1177/23971983231163413

N/A

0DataRank · unranked

56 citations

Maya H Buch, Aleksandra Djoković, Giacomo De Luca, Raluca B Dumitru, Alessandro Giollo +30 more

Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance

Journal of Cardiovascular Magnetic Resonance(2023)10.1186/s12968-023-00933-0

N/A

0DataRank · unranked

43 citations

Sven Plein, Timothy C. Wong, Qian Tao, Zahra Raisi‐Estabragh, Supriya Jain +10 more

Acute cardiovascular complications of immune-mediated systemic inflammatory diseases

European Heart Journal Acute Cardiovascular Care(2023)10.1093/ehjacc/zuad096

N/A

0DataRank · unranked

10 citations

Michael Garshick, Antonio Abbate, Taryn Youngstein, Garrick C. Stewart, Erin A. Bohula +3 more

The impact of water exchange on estimates of myocardial extracellular volume calculated using contrast enhanced T1 measurements: A preliminary analysis in patients with severe aortic stenosis

Magnetic Resonance in Medicine(2023)10.1002/mrm.29956

N/A

0DataRank · unranked

4 citations

John Biglands, David Broadbent, Peter Kellman, Kelvin Chow, John P. Greenwood +4 more

Motion‐compensated gradient waveforms for tensor‐valued diffusion encoding by constrained numerical optimization

Magnetic Resonance in Medicine(2020)10.1002/mrm.28551

N/A

0DataRank · unranked

37 citations

Jens Sjölund, Erica Dall’Armellina, Sven Plein, Jürgen E. Schneider, Irvin Teh +2 more