Stephen U. Hanlon

667 total citations
9 papers, 508 citations indexed

About

Stephen U. Hanlon is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephen U. Hanlon has authored 9 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephen U. Hanlon's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Heart Failure Treatment and Management (3 papers). Stephen U. Hanlon is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Heart Failure Treatment and Management (3 papers). Stephen U. Hanlon collaborates with scholars based in United States. Stephen U. Hanlon's co-authors include Mark C. Haigney, Eliot Peyster, James E. Norman, Shao-kui Wei, Michaël Domanski, Bertram Pitt, Erich F. Wedam, A. Ruknudin, Dan H. Schulze and Eric Elgin and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Stephen U. Hanlon

9 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen U. Hanlon United States 7 421 165 152 53 51 9 508
Christopher Zimmer United States 11 413 1.0× 409 2.5× 160 1.1× 39 0.7× 40 0.8× 15 674
Christina M. Salerno United States 3 368 0.9× 116 0.7× 26 0.2× 49 0.9× 66 1.3× 3 440
GA Sagnella United Kingdom 8 326 0.8× 146 0.9× 194 1.3× 213 4.0× 52 1.0× 12 625
J L Rouleau Canada 12 241 0.6× 59 0.4× 64 0.4× 24 0.5× 28 0.5× 16 371
Michael R. Bristow United States 8 529 1.3× 68 0.4× 92 0.6× 31 0.6× 19 0.4× 9 638
J R Cant United States 7 284 0.7× 74 0.4× 71 0.5× 44 0.8× 45 0.9× 10 383
M. A. Fitzpatrick New Zealand 13 451 1.1× 75 0.5× 67 0.4× 79 1.5× 15 0.3× 30 572
John R. Teerlink United States 10 724 1.7× 153 0.9× 56 0.4× 26 0.5× 27 0.5× 18 801
I‐Zu Huang United States 5 425 1.0× 306 1.9× 69 0.5× 67 1.3× 23 0.5× 8 649
Gr. Heyndrickx Belgium 5 139 0.3× 69 0.4× 45 0.3× 26 0.5× 37 0.7× 12 377

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-authorship network of co-authors of Stephen U. Hanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen U. Hanlon. A scholar is included among the top collaborators of Stephen U. Hanlon 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 Stephen U. Hanlon. Stephen U. Hanlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wei, Shao-kui, et al.. (2007). Gender Differences in Na/Ca Exchanger Current and β‐Adrenergic Responsiveness in Heart Failure in Pig Myocytes. Annals of the New York Academy of Sciences. 1099(1). 183–189. 17 indexed citations
2.
Wei, Shao-kui, A. Ruknudin, Matie Shou, et al.. (2007). Muscarinic Modulation of the Sodium-Calcium Exchanger in Heart Failure. Circulation. 115(10). 1225–1233. 19 indexed citations
3.
Hanlon, Stephen U., et al.. (2004). Furosemide and the progression of left ventricular dysfunction in experimental heart failure. Journal of the American College of Cardiology. 44(6). 1301–1307. 113 indexed citations
4.
Domanski, Michaël, James E. Norman, Bertram Pitt, et al.. (2003). Diuretic use, progressive heart failure, and death in patients in the studies of left ventricular dysfunction (SOLVD). Journal of the American College of Cardiology. 42(4). 705–708. 250 indexed citations
6.
Wei, Shao-kui, Stephen U. Hanlon, & Mark C. Haigney. (2002). Decreased β‐Adrenergic Responsiveness of Na/Ca Exchange Current in Failing Pig Myocytes. Annals of the New York Academy of Sciences. 976(1). 472–475. 2 indexed citations
7.
Wei, Shao-kui, Stephen U. Hanlon, & Mark C. Haigney. (2002). Beta‐Adrenergic Stimulation of Pig Myocytes with Decreased Cytosolic Free Magnesium Prolongs the Action Potential and Enhances Triggered Activity. Journal of Cardiovascular Electrophysiology. 13(6). 587–592. 14 indexed citations
8.
Hanlon, Stephen U., et al.. (2000). Calciphylaxis in Moderate Renal Insufficiency: Changing Disease Concepts. American Journal of Nephrology. 20(4). 324–328. 20 indexed citations
9.
Tobian, Louis, et al.. (1987). High K diets protect against hypertensive intimal lesions and endothelial injury in arteries of stroke-prone hypertensive rats.. PubMed. 100. 300–4. 4 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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