ScholarIQanswers from OpenAlex
Edinburgh College
InstitutionResearch output, impact & collaborations
Edinburgh College is a institution indexed in ScholarIQ from OpenAlex.
What is known about Edinburgh College?
ScholarIQrecord summary
Edinburgh College is a research organisation in Edinburgh, GB. OpenAlex records 9,298 works and 166,847 citations for it. 1,002 researchers list it as their most recent affiliation.
How many works does Edinburgh College have?
ScholarIQindexed works
Edinburgh College has 9,298 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Edinburgh College have?
ScholarIQcitation count
Edinburgh College has 166,847 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Edinburgh College?
ScholarIQresearcher count
Edinburgh College has 1,002 researchers in the ScholarIQ index.
What is the average h-index at Edinburgh College?
ScholarIQavg h-index
Edinburgh College has an average h-index of 71.3 in OpenAlex.
What is the ROR of Edinburgh College?
ScholarIQror
The ROR for Edinburgh College is on the source record.
What is the OpenAlex record for Edinburgh College?
ScholarIQopenalex
The OpenAlex for Edinburgh College is on the source record.
Who are the most-cited researchers behind Edinburgh College?
ScholarIQtop researchers by citations
What are the most-cited papers on Edinburgh College?
ScholarIQmost cited works
Lipoprotein(a) in atherosclerotic cardiovascular disease and aortic stenosis: a European Atherosclerosis Society consensus statement
Florian Kronenberg, Samia Mora, Erik S.G. Stroes, Brian A. Ference, Benoît J. Arsenault, Lars Berglund, Marc R. Dweck, Marlys L. Koschinsky, Gilles Lambert, François Mach, Catherine J. McNeal, Patrick M. Moriarty, Pradeep Natarajan, Børge G. Nordestgaard, Klaus G. Parhofer, Salim S. Virani, Arnold von Eckardstein, Gerald F. Watts, Jane K. Stock, Kausik K. Ray, Lâle Tokgözoğlu, Alberico L. Catapano
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
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
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
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
How much of the research on Edinburgh College is open access?
ScholarIQopen access share
100%OPEN ACCESS