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Michelle C. Williams
ResearcherPublications, citations & collaboration network
Michelle C. Williams is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 446 works, 15,392 citations, an h-index of 59 and an i10-index of 181.
446
Works
15,392
Citations
59
h-index
181
i10-index
How has Michelle C. Williams's publication output changed over time?
ScholarIQpublication output · 2012–2024
Output grew0% over the shown period — from 1 works in 2012 to 1 in 2024.
1
1
2
2
2
2
1
2012201320162019202020222024
What are the most-cited papers on Michelle C. Williams?
ScholarIQmost cited works
18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial
Nikhil Joshi, Alex Vesey, Michelle C. Williams, Anoop Shah, Patrick A. Calvert, Felicity Craighead, Su Ern Yeoh, William Wallace, Donald M. Salter, Alison Fletcher, Edwin J.R. van Beek, Andrew D. Flapan, Neal Uren, Miles Behan, Nicholas L. Cruden, Nicholas L. Mills, Keith A.A. Fox, James H.F. Rudd, Marc R. Dweck, David E. Newby
The Lancet. 2013945 CitationsOPEN ACCESS
Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction
Michelle C. Williams, Jacek Kwieciński, Mhairi Doris, Priscilla McElhinney, Michelle D’Souza, Sebastien Cadet, Philip D Adamson, Alastair J. Moss, Shirjel Alam, Amanda Hunter, Anoop Shah, Nicholas L. Mills, Tania Pawade, Chengjia Wang, Jonathan Weir‐McCall, Michael Bonnici-Mallia, Christopher Murrills, Giles Roditi, Edwin J.R. van Beek, Leslee J. Shaw, Edward Nicol, Daniel S. Berman, Piotr J. Slomka, David E. Newby, Marc R. Dweck, Damini Dey
Circulation. 2020720 CitationsOPEN ACCESS
Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study
Michelle C. Williams, Alastair J. Moss, Marc R. Dweck, Philip D Adamson, Shirjel Alam, Amanda Hunter, Anoop Shah, Tania Pawade, Jonathan Weir‐McCall, Giles Roditi, Edwin J.R. van Beek, David E. Newby, Edward Nicol
Journal of the American College of Cardiology. 2019608 CitationsOPEN ACCESS
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
Evangelos K. Oikonomou, Michelle C. Williams, Christos P. Kotanidis, Milind Y. Desai, Mohamed Marwan, Alexios S. Antonopoulos, Katharine Thomas, Sheena Thomas, Ioannis Akoumianakis, Lampson Fan, Sujatha Kesavan, L Herdman, Alaa Alashi, Erika Hutt, Maria Lyasheva, Brian P. Griffin, Scott D. Flamm, Cheerag Shirodaria, Nikant Sabharwal, Andrew Kelion, Marc R. Dweck, Edwin J.R. van Beek, John Deanfield, Jemma C. Hopewell, Stefan Neubauer, Keith M. Channon, Stephan Achenbach, David E. Newby, Charalambos Antoniades
European Heart Journal. 2019521 CitationsOPEN ACCESS
Coronary Arterial 18F-Sodium Fluoride Uptake
Marc R. Dweck, Marcus W.L. Chow, Nikhil Joshi, Michelle C. Williams, Charlotte Jones, Alison Fletcher, Hamish Richardson, Audrey White, Graham McKillop, Edwin J.R. van Beek, Nicholas A. Boon, James H.F. Rudd, David E. Newby
Journal of the American College of Cardiology. 2012491 CitationsOPEN ACCESS
Related on ScholarIQ
British Heart Foundation
Institution
18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial
Paper
Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction
Paper
Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study
Paper
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
Paper
Coronary Arterial 18F-Sodium Fluoride Uptake
Paper