Stephen U. Hanlon

669 citations
9 papers · 511 · h-index 7

Impact in

Papers in

Stephen U. Hanlon

9 papers receiving 492 citations

Peers

Stephen U. Hanlon
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 341
  • Nephrology 44
  • Pulmonary and Respiratory Medicine 116
  • Endocrinology, Diabetes and Metabolism 38
  • Emergency Medicine 14
Replace Tom Chau with:
Tom Chau Taiwan
Christina M. Salerno United States
Michael R. Bristow United States
P L Padfield United Kingdom
Elisenda Gómez-Angelats Spain
Henrik Vase Denmark
Howard M. McAlpine United Kingdom
Nicolò Ghionzoli Italy
H. M. Snow Ireland
Bente Brendorp Denmark
Stephen U. Hanlon relative to Tom Chau Taiwan Tom Chau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen U. Hanlon

Since Specialization
Citations

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

Fields of papers citing papers by Stephen U. Hanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen U. Hanlon. 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 Stephen U. Hanlon. The network helps show where Stephen U. Hanlon may publish in the future.

Co-authors

The 13 scholars most cited alongside Stephen U. Hanlon, 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 Stephen U. Hanlon Line = papers co-authored together Stephen U. Hanlon links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003252
2 2004113
3 200369
4 200020
5 200719
6 200718
7 200214
8
High K diets protect against hypertensive intimal lesions and endothelial injury in arteries of stroke-prone hypertensive rats.
19874
9 20022

About Stephen U. Hanlon

Stephen U. Hanlon is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Nephrology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 511 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (3 papers), Neuroscience and Neural Engineering (2 papers), Heart Failure Treatment and Management (1 paper), Medical Imaging and Pathology Studies (1 paper), Nutritional Studies and Diet (1 paper), Diet and metabolism studies (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (341 citations), Nephrology (44 citations), Pulmonary and Respiratory Medicine (116 citations), Endocrinology, Diabetes and Metabolism (38 citations) and Emergency Medicine (14 citations). Stephen U. Hanlon has collaborated with scholars based in United States. Frequent co-authors include Mark C. Haigney, Shao-kui Wei, Michaël Domanski, James E. Norman, Bertram Pitt, Eliot Peyster, Erich F. Wedam, A. Ruknudin, Dan H. Schulze and Matie Shou. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of the American College of Cardiology, Circulation Research, Circulation and Journal of Cardiovascular Electrophysiology.

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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