Carmen Lydell

1.6k total citations
60 papers, 1.0k citations indexed

About

Carmen Lydell is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Carmen Lydell has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cardiology and Cardiovascular Medicine, 27 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Carmen Lydell's work include Cardiovascular Function and Risk Factors (28 papers), Cardiac Imaging and Diagnostics (25 papers) and Cardiomyopathy and Myosin Studies (14 papers). Carmen Lydell is often cited by papers focused on Cardiovascular Function and Risk Factors (28 papers), Cardiac Imaging and Diagnostics (25 papers) and Cardiomyopathy and Myosin Studies (14 papers). Carmen Lydell collaborates with scholars based in Canada, United States and Australia. Carmen Lydell's co-authors include James A. White, Andrew G. Howarth, Kirk D. Jones, Brett M. Elicker, Paul J. Wolters, Talmadge E. King, Joyce Lee, Harold R. Collard, Jay H. Ryu and Yoko Mikami and has published in prestigious journals such as Journal of the American College of Cardiology, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Carmen Lydell

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carmen Lydell Canada	18	514	410	249	159	157	60	1.0k
P W Pflugfelder Canada	13	359 0.7×	153 0.4×	254 1.0×	33 0.2×	276 1.8×	17	771
Ryusuke Kimura Japan	16	442 0.9×	252 0.6×	117 0.5×	21 0.1×	241 1.5×	50	871
Yoko Sato Japan	17	129 0.3×	157 0.4×	67 0.3×	99 0.6×	115 0.7×	67	693
Hirokazu Touge Japan	13	33 0.1×	328 0.8×	131 0.5×	54 0.3×	54 0.3×	48	788
Jean Bernard Durand United States	10	337 0.7×	100 0.2×	75 0.3×	19 0.1×	79 0.5×	16	671
C. Marcus France	17	70 0.1×	116 0.3×	106 0.4×	102 0.6×	175 1.1×	45	706
G. Maltinti Italy	9	135 0.3×	89 0.2×	129 0.5×	36 0.2×	277 1.8×	38	850
Ahmet Demirkıran Netherlands	19	303 0.6×	93 0.2×	229 0.9×	106 0.7×	408 2.6×	64	1.1k
Hisao Hara Japan	14	236 0.5×	139 0.3×	181 0.7×	98 0.6×	264 1.7×	84	780
Yael Refaely Israel	19	56 0.1×	757 1.8×	78 0.3×	37 0.2×	568 3.6×	46	1.2k

Countries citing papers authored by Carmen Lydell

Since Specialization

Citations

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

Fields of papers citing papers by Carmen Lydell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Lydell

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Lydell. A scholar is included among the top collaborators of Carmen Lydell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carmen Lydell. Carmen Lydell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tse, Justin J., Fereshteh Hasanzadeh, Steven Dykstra, et al.. (2025). Phenotypic clustering of hypertrophic cardiomyopathy using 3D cardiac shape models and associations with future adverse outcomes. Journal of Cardiovascular Magnetic Resonance. 27. 101329–101329. 1 indexed citations

Tse, Justin J., Steven Dykstra, Fereshteh Hasanzadeh, et al.. (2025). Derivation of a risk score for prediction of future adverse outcomes in asymptomatic hypertrophic cardiomyopathy patients from the CIROC registry. Journal of Cardiovascular Magnetic Resonance. 27. 101312–101312. 1 indexed citations

Hasanzadeh, Fereshteh, Theresa M. Beckie, Cory White, et al.. (2025). 3D quantification of maximal left ventricular wall thickness: associations with global fibrosis burden and future adverse outcomes in hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 27. 101309–101309. 1 indexed citations

Becher, Harald, et al.. (2023). Right ventricular ejection fraction derived from intraoperative three-dimensional transesophageal echocardiography versus cardiac magnetic resonance imaging. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 70(10). 1576–1586.

Vandenberk, Bert, Steven Dykstra, Derek S. Chew, et al.. (2023). Patients with non-ischemic cardiomyopathy and mid-wall striae have similar arrhythmic outcomes as ischemic cardiomyopathy. The International Journal of Cardiovascular Imaging. 39(10). 2005–2014. 1 indexed citations

Satriano, Alessandro, Steven Dykstra, Yoko Mikami, et al.. (2022). BASELINE LEFT VENTRICULAR CONTRACTILE STATE IS THE STRONGEST DETERMINANT OF FUTURE DROPS IN EJECTION FRACTION FROM CARDIOTOXIC CHEMOTHERAPY: A MACHINE LEARNING BASED CMR STUDY. Journal of the American College of Cardiology. 79(9). 1943–1943. 1 indexed citations

Guzzardi, David G., James A. White, Steven Dykstra, et al.. (2022). Normative healthy reference values for global and segmental 3D principal and geometry dependent strain from cine cardiac magnetic resonance imaging. The International Journal of Cardiovascular Imaging. 39(1). 115–134. 1 indexed citations

Dykstra, Steven, Alessandro Satriano, Lucy Y. Lei, et al.. (2022). Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information. Frontiers in Cardiovascular Medicine. 9. 998558–998558. 8 indexed citations

Tremblay, Alain, Niloofar Taghizadeh, Michael Bristow, et al.. (2019). Application of Lung-Screening Reporting and Data System Versus Pan-Canadian Early Detection of Lung Cancer Nodule Risk Calculation in the Alberta Lung Cancer Screening Study. Journal of the American College of Radiology. 16(10). 1425–1432. 16 indexed citations

10.

Mikami, Yoko, Alessandro Satriano, Steven Dykstra, et al.. (2019). NATURAL HISTORY OF MYOCARDIAL INJURY AND CHAMBER REMODELLING IN ACUTE MYOCARDITIS: A 12-MONTH PROSPECTIVE COHORT STUDY USING CARDIOVASCULAR MAGNETIC RESONANCE IMAGING. Journal of the American College of Cardiology. 73(9). 1546–1546.

11.

Satriano, Alessandro, Bobak Heydari, Matthew C. Cheung, et al.. (2019). 3-Dimensional regional and global strain abnormalities in hypertrophic cardiomyopathy. International journal of cardiac imaging. 35(10). 1913–1924. 15 indexed citations

12.

Hassanabad, Ali Fatehi, Fiona Burns, Michael Bristow, et al.. (2019). Pressure drop mapping using 4D flow MRI in patients with bicuspid aortic valve disease: A novel marker of valvular obstruction. Magnetic Resonance Imaging. 65. 175–182. 31 indexed citations

13.

Satriano, Alessandro, Naeem Merchant, Carmen Lydell, et al.. (2018). Intra-thoracic adiposity is associated with impaired contractile function in patients with coronary artery disease: a cardiovascular magnetic resonance imaging study. International journal of cardiac imaging. 35(1). 121–131. 4 indexed citations

14.

Avitzur, N., Alessandro Satriano, Yoko Mikami, et al.. (2018). 3D myocardial deformation analysis from cine MRI as a marker of amyloid protein burden in cardiac amyloidosis: validation versus T1 mapping. International journal of cardiac imaging. 34(12). 1937–1946. 10 indexed citations

15.

Satriano, Alessandro, James A. White, Naeem Merchant, et al.. (2018). Three-dimensional thoracic aorta principal strain analysis from routine ECG-gated computerized tomography: feasibility in patients undergoing transcatheter aortic valve replacement. BMC Cardiovascular Disorders. 18(1). 76–76. 14 indexed citations

16.

Miller, Robert J.H., Danielle A. Southern, Mei Zhang, et al.. (2017). LV Mass Independently Predicts Mortality and Need for Future Revascularization in Patients Undergoing Diagnostic Coronary Angiography. JACC. Cardiovascular imaging. 11(3). 423–433. 28 indexed citations

17.

Mikami, Yoko, Immaculate Nevis, David McCarty, et al.. (2017). Contribution of mitral valve leaflet length and septal wall thickness to outflow tract obstruction in patients with hypertrophic cardiomyopathy. International journal of cardiac imaging. 33(8). 1201–1211. 8 indexed citations

18.

Miller, Robert J.H., Yoko Mikami, Andrew G. Howarth, et al.. (2017). DEFINING RISK ASSOCIATED WITH LEFT VENTRICULAR HYPERTROPHY PATTERNS AS ASSESSED BY CARDIAC MAGNETIC RESONANCE IMAGING. Journal of the American College of Cardiology. 69(11). 1440–1440. 1 indexed citations

19.

Lee, Joyce, Jay H. Ryu, Brett M. Elicker, et al.. (2011). Gastroesophageal Reflux Therapy Is Associated with Longer Survival in Patients with Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 184(12). 1390–1394. 279 indexed citations

20.

Lydell, Carmen. (2002). Pyruvate dehydrogenase and the regulation of glucose oxidation in hypertrophied rat hearts. Cardiovascular Research. 53(4). 841–851. 66 indexed citations

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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