Kim A. Connelly

14.6k total citations · 1 hit paper
330 papers, 7.9k citations indexed

About

Kim A. Connelly is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kim A. Connelly has authored 330 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Cardiology and Cardiovascular Medicine, 86 papers in Radiology, Nuclear Medicine and Imaging and 85 papers in Surgery. Recurrent topics in Kim A. Connelly's work include Cardiovascular Function and Risk Factors (96 papers), Cardiac Imaging and Diagnostics (75 papers) and Diabetes Treatment and Management (64 papers). Kim A. Connelly is often cited by papers focused on Cardiovascular Function and Risk Factors (96 papers), Cardiac Imaging and Diagnostics (75 papers) and Diabetes Treatment and Management (64 papers). Kim A. Connelly collaborates with scholars based in Canada, United States and United Kingdom. Kim A. Connelly's co-authors include Richard E. Gilbert, Kerri Thai, Andrew Advani, Darren J. Kelly, Graham A. Wright, Suzanne L. Advani, Subodh Verma, Darren A. Yuen, Andrew T. Yan and Idan Roifman and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Kim A. Connelly

315 papers receiving 7.8k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effect of Empagliflozin on Left Ventricular Mass in Patients With Type 2 Diabetes Mellitus and Coronary Artery Disease

2019 386 citations Subodh Verma, C. David Mazer et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim A. Connelly Canada	51	3.7k	1.9k	1.7k	1.5k	1.5k	330	7.9k
Seigo Sugiyama Japan	55	4.4k 1.2×	2.4k 1.3×	1.9k 1.1×	3.0k 2.1×	948 0.7×	227	11.0k
Arnoud van der Laarse Netherlands	53	4.6k 1.2×	2.2k 1.2×	665 0.4×	2.4k 1.7×	1.6k 1.1×	212	9.3k
Iftikhar J. Kullo United States	53	2.6k 0.7×	1.9k 1.0×	911 0.5×	2.3k 1.6×	562 0.4×	289	9.3k
Leong L. Ng United Kingdom	59	6.8k 1.8×	2.9k 1.5×	1.3k 0.8×	1.6k 1.1×	793 0.5×	354	12.2k
Petr Jarolı́m United States	53	4.1k 1.1×	1.9k 1.0×	1.4k 0.8×	1.6k 1.1×	896 0.6×	224	9.2k
Borja Ibáñez Spain	56	5.7k 1.5×	2.6k 1.4×	740 0.4×	2.4k 1.6×	2.0k 1.4×	323	11.6k
Michael Schäfers Germany	56	2.0k 0.5×	2.9k 1.6×	618 0.4×	1.3k 0.9×	4.0k 2.7×	373	11.5k
Keijiro Saku Japan	43	3.6k 1.0×	2.2k 1.2×	1.8k 1.0×	2.3k 1.6×	511 0.4×	422	8.0k
Eckart Fleck Germany	59	7.1k 1.9×	3.0k 1.6×	766 0.5×	2.8k 1.9×	5.7k 3.9×	413	14.4k
Robin P. Choudhury United Kingdom	59	3.9k 1.1×	2.2k 1.2×	486 0.3×	2.3k 1.6×	3.2k 2.2×	202	9.8k

Countries citing papers authored by Kim A. Connelly

Since Specialization

Citations

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

Fields of papers citing papers by Kim A. Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim A. Connelly. 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 Kim A. Connelly. The network helps show where Kim A. Connelly may publish in the future.

Co-authorship network of co-authors of Kim A. Connelly

This figure shows the co-authorship network connecting the top 25 collaborators of Kim A. Connelly. A scholar is included among the top collaborators of Kim A. Connelly 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 Kim A. Connelly. Kim A. Connelly 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

Ni, Jiayi, Paul Poirier, Marc-André d’Entremont, et al.. (2025). Normal echocardiographic and electrocardiographic indices in young female athletes: a meta-analysis across sex, types of sports, races, and ethnicities. European Journal of Preventive Cardiology.

Yerra, Veera Ganesh & Kim A. Connelly. (2024). Extrarenal Benefits of SGLT2 Inhibitors in the Treatment of Cardiomyopathies. Physiology. 39(6). 412–434. 3 indexed citations

Dan, Qinghong, Michael Kofler, Matthew D. Layne, et al.. (2024). Regulation of the RhoA exchange factor GEF-H1 by profibrotic stimuli through a positive feedback loop involving RhoA, MRTF, and Sp1. American Journal of Physiology-Cell Physiology. 327(2). C387–C402. 5 indexed citations

Rajagopalan, Sanjay, Mirela Dobre, Jean‐Eudes Dazard, et al.. (2024). Mineralocorticoid Receptor Antagonism Prevents Aortic Plaque Progression and Reduces Left Ventricular Mass and Fibrosis in Patients With Type 2 Diabetes and Chronic Kidney Disease: The MAGMA Trial. Circulation. 150(9). 663–676. 5 indexed citations

Kosowan, Leanne, Alan Bell, Kim A. Connelly, et al.. (2023). Validation of a Case Definition to Identify Patients Diagnosed With Cardiovascular Disease in Canadian Primary Care Practices. CJC Open. 5(7). 567–576. 3 indexed citations

Mistry, Nikhil, Kim A. Connelly, Andrew T. Yan, et al.. (2023). IGFBP7 and Left Ventricular Mass Regression: A Sub-Analysis of the EMPA-HEART CardioLink-6 Randomized Clinical Trial. ESC Heart Failure. 10(3). 2113–2119. 3 indexed citations

Verma, Subodh, C. David Mazer, Hwee Teoh, et al.. (2021). Impact of empagliflozin on right ventricular parameters and function among patients with type 2 diabetes. Cardiovascular Diabetology. 20(1). 200–200. 23 indexed citations

Jiménez‐Juan, Laura, Nigel S. Tan, Sheldon M. Singh, et al.. (2021). Right Ventricular Function at Cardiac MRI Predicts Cardiovascular Events in Patients with an Implantable Cardioverter-Defibrillator. Radiology. 301(2). 322–329. 7 indexed citations

Roifman, Idan, Mary Li, & Kim A. Connelly. (2020). Novel Combined Clinical and Research Protocol to Reduce Wait Times for Cardiac Magnetic Resonance. Healthcare Quarterly. 23(2). 62–66. 1 indexed citations

10.

Katira, Bhushan H., Doreen Engelberts, Gail Otulakowski, et al.. (2018). Abrupt Deflation after Sustained Inflation Causes Lung Injury. American Journal of Respiratory and Critical Care Medicine. 198(9). 1165–1176. 33 indexed citations

11.

Katira, Bhushan H., Regan E. Giesinger, Doreen Engelberts, et al.. (2017). Adverse Heart–Lung Interactions in Ventilator-induced Lung Injury. American Journal of Respiratory and Critical Care Medicine. 196(11). 1411–1421. 57 indexed citations

12.

Ong, Géraldine, Kim A. Connelly, Jack M. Goodman, et al.. (2017). Echocardiographic Assessment of Young Male Draft-Eligible Elite Hockey Players Invited to the Medical and Fitness Combine by the National Hockey League. The American Journal of Cardiology. 119(12). 2088–2092. 8 indexed citations

13.

Mancini, G.B. John, Alice Cheng, Kim A. Connelly, et al.. (2016). Diabetes for Cardiologists: Practical Issues in Diagnosis and Management. Canadian Journal of Cardiology. 33(3). 366–377. 20 indexed citations

14.

Zhang, Yanling, Kerri Thai, Suzanne L. Advani, et al.. (2015). Application of Modular Therapy for Renoprotection in Experimental Chronic Kidney Disease. Tissue Engineering Part A. 21(13-14). 1963–1972. 1 indexed citations

15.

Zia, Mohammad I., Nilesh R. Ghugre, Kim A. Connelly, et al.. (2012). Characterizing Myocardial Edema and Hemorrhage Using Quantitative T2 and T2* Mapping at Multiple Time Intervals Post ST-Segment Elevation Myocardial Infarction. Circulation Cardiovascular Imaging. 5(5). 566–572. 84 indexed citations

16.

Joshi, S., Kim A. Connelly, Laura Jiménez‐Juan, et al.. (2012). Potential clinical impact of cardiovascular magnetic resonance assessment of ejection fraction on eligibility for cardioverter defibrillator implantation. Journal of Cardiovascular Magnetic Resonance. 14(1). 68–68. 35 indexed citations

17.

Connelly, Kim A., Jay Detsky, John Graham, et al.. (2009). Multicontrast late gadolinium enhancement imaging enables viability and wall motion assessment in a single acquisition with reduced scan times. Journal of Magnetic Resonance Imaging. 30(4). 771–777. 19 indexed citations

18.

Gilbert, Richard E., Kim A. Connelly, Darren J. Kelly, Carol A. Pollock, & Henry Krum. (2006). Heart failure and nephropathy: Catastrophic and interrelated complications of diabetes. Journal of the American Society of Nephrology. 1(2). 1 indexed citations

19.

Martín, J., Kim A. Connelly, Andrew R. Kompa, et al.. (2006). Hyperglycemia has a detrimental effect on cardiac remodelling and mortality after myocardial infarction: benefit of statin therapy. European Heart Journal. 27. 522–523. 1 indexed citations

20.

Connelly, Kim A., et al.. (2006). Abstract 3922: Inhibition of PKC Beta by Ruboxistaurin Preserves Cardiac Function and Reduces Extracellular Matrix Production in Diabetic Cardiomyopathy. Circulation. 114. 843–843. 1 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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