Kim A. Connelly

315 papers receiving 7.8k citations

Hit Papers

Effect of Empagliflozin on Left Ventricular Mass in Patie...20192026202120232019100200300

Peers

Kim A. Connelly
Comparison fields: 5 of 151
  • Cardiology and Cardiovascular Medicine 3.7k
  • Molecular Biology 1.9k
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Surgery 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.5k
Replace Seigo Sugiyama with:
Seigo Sugiyama Japan
Georg Ertl Germany
Borja Ibáñez Spain
Kenneth B. Margulies United States
Arnoud van der Laarse Netherlands
Hildo J. Lamb Netherlands
Robin P. Choudhury United Kingdom
Masahiko Kinoshita Japan
Yasuchika Takeishi Japan
Iftikhar J. Kullo United States
Kim A. Connelly relative to Seigo Sugiyama Japan Seigo Sugiyama's profile →
Citations per field
00.5×2.7×
Seigo Sugiyama · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
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Abstract 3922: Inhibition of PKC Beta by Ruboxistaurin Preserves Cardiac Function and Reduces Extracellular Matrix Production in Diabetic Cardiomyopathy
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Hyperglycemia has a detrimental effect on cardiac remodelling and mortality after myocardial infarction: benefit of statin therapy
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About Kim A. Connelly

Kim A. Connelly is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 330 papers that have together received 7.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (96 papers), Cardiac Imaging and Diagnostics (75 papers) and Diabetes Treatment and Management (64 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Endocrinology, Diabetes and Metabolism (1.7k citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Kim A. Connelly has collaborated with scholars based in Canada, United States and United Kingdom. Frequent 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. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

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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