Patrick Kearns

1.0k citations
12 papers · 646 · h-index 6

Impact in

Papers in

Patrick Kearns

12 papers receiving 629 citations

Peers

Patrick Kearns
Comparison fields: 5 of 101
  • Health Informatics 28
  • Biochemistry 67
  • Physiology 237
  • Cardiology and Cardiovascular Medicine 201
  • Physiology 21
Replace Richard J. Rivers with:
Richard J. Rivers United States
Kenji Furukawa Japan
Kristen J. Bubb Australia
Sowndramalingam Sankaralingam Canada
Lizhen Liao China
Roxana Loperena United States
Sofia Chiatamone Ranieri Italy
Yingying Luo China
Tariq Altamimi Canada
Anna P. Pilbrow New Zealand
Patrick Kearns relative to Richard J. Rivers United States Richard J. Rivers's profile →
Citations per field
00.5×1.5×2.2×
Richard J. Rivers · 1×
Citations per year

Countries citing papers authored by Patrick Kearns

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Kearns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Kearns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Kearns Line = papers co-authored together Patrick Kearns links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010220
2 2006194
3 2009141
4 201136
5 202332
6 20177
7
Ribonucleotide reductase inhibitors reduce atherosclerosis in a double-injury rabbit model.
20095
8 20234
9 20153
10 20092
11
Diabetes Care Management Teams Did Not Reduce Utilization When Compared With Traditional Care: A Randomized Cluster Trial.
20171
12 20051

About Patrick Kearns

Patrick Kearns is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Radiology, Nuclear Medicine and Imaging, Physiology and Surgery, having authored 12 papers that have together received 646 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (3 papers), Renin-Angiotensin System Studies (3 papers), Nursing Roles and Practices (2 papers), Cardiovascular Disease and Adiposity (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Clinical practice guidelines implementation (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (28 citations), Biochemistry (67 citations), Physiology (237 citations), Cardiology and Cardiovascular Medicine (201 citations) and Physiology (21 citations). Patrick Kearns has collaborated with scholars based in United States. Frequent co-authors include Arturo J. Cardounel, Wesley M. Johnson, Jay L. Zweíer, Mohamed Elmahdy, Yong Xia, Saradhadevi Varadharaj, Xiaoping Liu, Arthur J. Pope, M.A. Hassan Talukder and Alexandre Samouilov. Their work appears in journals such as Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, Annals of Plastic Surgery, Cardiovascular Research and American Journal of Physiology-Heart and Circulatory Physiology.

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.

Explore authors with similar magnitude of impact