Kim A. Connelly
-
- Cardiovascular Function and Risk Factors 96
- Cardiac Valve Diseases and Treatments 33
- Cardiovascular Effects of Exercise 32
-
- Diabetes Treatment and Management 64
-
- Cardiac Imaging and Diagnostics 75
- Advanced MRI Techniques and Applications 43
- Nephrology top 1%
- Biophysics top 1%
-
- Pancreatic function and diabetes 31
-
- Metabolism, Diabetes, and Cancer 22
- Co-authors
- Richard E. GilbertKerri ThaiAndrew AdvaniDarren J. KellyGraham A. WrightSuzanne L. AdvaniSubodh VermaDarren A. Yuen
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kim A. Connelly
315 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cardiology and Cardiovascular Medicine 3.7k
- Endocrinology, Diabetes and Metabolism 1.7k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Nephrology 443
- Biophysics 229
Countries citing papers authored by Kim A. Connelly
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
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
The 25 scholars most cited alongside Kim A. Connelly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 15 | |
| 14 | 2018 | 56 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 14 | |
| 17 | 2012 | 84 | |
| 18 | 2012 | 125 | |
| 19 | Abstract 3922: Inhibition of PKC Beta by Ruboxistaurin Preserves Cardiac Function and Reduces Extracellular Matrix Production in Diabetic Cardiomyopathy | 2006 | 1 |
| 20 | Hyperglycemia has a detrimental effect on cardiac remodelling and mortality after myocardial infarction: benefit of statin therapy | 2006 | 1 |
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), Diabetes Treatment and Management (64 papers), Advanced MRI Techniques and Applications (43 papers), Cardiac Valve Diseases and Treatments (33 papers), Cardiovascular Effects of Exercise (32 papers), Pancreatic function and diabetes (31 papers) and Metabolism, Diabetes, and Cancer (22 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.
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.