Stephen J. Ellis

7.9k total citations · 3 hit papers
49 papers, 5.9k citations indexed

About

Stephen J. Ellis is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen J. Ellis has authored 49 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 23 papers in Complementary and alternative medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen J. Ellis's work include Heart Failure Treatment and Management (25 papers), Cardiovascular and exercise physiology (23 papers) and Cardiovascular Function and Risk Factors (16 papers). Stephen J. Ellis is often cited by papers focused on Heart Failure Treatment and Management (25 papers), Cardiovascular and exercise physiology (23 papers) and Cardiovascular Function and Risk Factors (16 papers). Stephen J. Ellis collaborates with scholars based in United States, United Kingdom and Canada. Stephen J. Ellis's co-authors include David J. Whellan, Xun Weng, Elizabeth A. Woolf, Louis A. Tartaglia, Dalane W. Kitzman, Christopher M. O’Connor, William E. Kraus, Ileana L. Piña, Steven J. Keteyian and Nathan Lakey and has published in prestigious journals such as Cell, Journal of the American Chemical Society and JAMA.

In The Last Decade

Stephen J. Ellis

49 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice

1996 1.8k citations Hong Chen, Olga Charlat et al. Cell profile →
Efficacy and Safety of Exercise Training in Patients With Chronic Heart Failure

2009 1.4k citations Christopher M. O’Connor, David J. Whellan et al. JAMA profile →
Effects of Exercise Training on Health Status in Patients With Chronic Heart Failure

2009 543 citations Ileana L. Piña, David J. Whellan et al. JAMA profile →

Peers

Stephen J. Ellis

CCM

CAM

PHYSI

EAS

Klaus K. Witte United Kingdom

Shane A. Phillips United States

Raymond J. MacAllister United Kingdom

Wanpen Vongpatanasin United States

Helmut O. Steinberg United States

Edzard Schwedhelm Germany

Stefan Engeli Germany

Sheldon E. Litwin United States

Domenico Bonaduce Italy

Paul Smits Netherlands

Klaus K. Witte United Kingdom

Stephen J. Ellis

5.3k ×1.7

CCM

775 ×0.5

CAM

1.6k ×1.2

PHYSI

689 ×0.6

EAS

646 ×0.8

Citations per year, relative to Stephen J. Ellis Stephen J. Ellis (= 1×) peers Klaus K. Witte

Countries citing papers authored by Stephen J. Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Stephen J. Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen J. Ellis

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

All Works

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20 of 20 papers shown

Levy, Wayne C., Yanhong Li, Shelby D. Reed, et al.. (2016). Does the Implantable Cardioverter-Defibrillator Benefit Vary With the Estimated Proportional Risk of Sudden Death in Heart Failure Patients?. JACC. Clinical electrophysiology. 3(3). 291–298. 29 indexed citations

Verma, Amanda, Phillip J. Schulte, Vera Bittner, et al.. (2016). Socioeconomic and partner status in chronic heart failure: Relationship to exercise capacity, quality of life, and clinical outcomes. American Heart Journal. 183. 54–61. 31 indexed citations

Whellan, David J., William E. Kraus, Dalane W. Kitzman, et al.. (2015). Authorship in a multicenter clinical trial: The Heart Failure—A Controlled Trial Investigating Outcomes of Exercise Training (HF-ACTION) Authorship and Publication (HAP) Scoring System Results. American Heart Journal. 169(4). 457–463.e6. 10 indexed citations

Dardas, Todd, Yanhong Li, Shelby D. Reed, et al.. (2015). Incremental and independent value of cardiopulmonary exercise test measures and the Seattle Heart Failure Model for prediction of risk in patients with heart failure. The Journal of Heart and Lung Transplantation. 34(8). 1017–1023. 15 indexed citations

Creber, Ruth Masterson, Christopher S. Lee, Kenneth B. Margulies, Stephen J. Ellis, & Bárbara Riegel. (2014). Abstract 11902: Exercise in Heart Failure and Patterns of Inflammation and Myocardial Stress Over Time. Circulation. 130. 1 indexed citations

Piña, Ileana L., Vera Bittner, Robert M. Clare, et al.. (2014). Effects of Exercise Training on Outcomes in Women With Heart Failure. JACC Heart Failure. 2(2). 180–186. 41 indexed citations

Li, Yanhong, Wayne C. Levy, Matthew P. Neilson, et al.. (2014). Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION. Journal of Cardiac Failure. 20(8). 541–547. 6 indexed citations

Taylor, Rod S, Massimo Piepoli, Neil A. Smart, et al.. (2014). Exercise training for chronic heart failure (ExTraMATCH II): Protocol for an individual participant data meta-analysis. International Journal of Cardiology. 174(3). 683–687. 13 indexed citations

Dobre, Daniela, Faı̈ez Zannad, Steven J. Keteyian, et al.. (2013). Association between resting heart rate, chronotropic index, and long-term outcomes in patients with heart failure receiving β-blocker therapy: data from the HF-ACTION trial. European Heart Journal. 34(29). 2271–2280. 58 indexed citations

10.

Piccini, Jonathan P., Anne S. Hellkamp, David J. Whellan, et al.. (2013). Exercise Training and Implantable Cardioverter-Defibrillator Shocks in Patients With Heart Failure. JACC Heart Failure. 1(2). 142–148. 44 indexed citations

11.

Forman, Daniel E., Jerome L. Fleg, Dalane W. Kitzman, et al.. (2012). 6-Min Walk Test Provides Prognostic Utility Comparable to Cardiopulmonary Exercise Testing in Ambulatory Outpatients With Systolic Heart Failure. Journal of the American College of Cardiology. 60(25). 2653–2661. 145 indexed citations

12.

Wing, S, et al.. (2012). A rare cause for superior vena cava obstruction. BMJ Case Reports. 2012. bcr2012006456–bcr2012006456. 1 indexed citations

13.

Reed, Shelby D., Stephen J. Ellis, John J. Isitt, et al.. (2012). Associations Between Hemoglobin Level, Resource Use, and Medical Costs in Patients With Heart Failure: Findings From HF-ACTION. Journal of Cardiac Failure. 18(10). 784–791. 5 indexed citations

14.

Reed, Shelby D., Yanhong Li, Stephen J. Ellis, et al.. (2011). Seattle Heart Failure Model Scores Significantly Predict Medical Resource Use and Costs in HF-ACTION. Journal of Cardiac Failure. 17(8). S80–S80. 3 indexed citations

15.

Horwich, Tamara B., Samuel Broderick, Leway Chen, et al.. (2011). Relation Among Body Mass Index, Exercise Training, and Outcomes in Chronic Systolic Heart Failure. The American Journal of Cardiology. 108(12). 1754–1759. 42 indexed citations

16.

O’Connor, Christopher M., Daniel Wojdyla, Eric Leifer, et al.. (2010). DETERMINANTS OF MORBIDITY AND MORTALITY IN CHRONIC HEART FAILURE (CHF) WITH SYSTOLIC DYSFUNCTION: RESULTS OF THE HF-ACTION PREDICTIVE MODEL. Journal of the American College of Cardiology. 55(10). A28.E270–A28.E270. 1 indexed citations

17.

O’Connor, Christopher M., David J. Whellan, Kerry L. Lee, et al.. (2009). Efficacy and Safety of Exercise Training in Patients With Chronic Heart Failure. JAMA. 301(14). 1439–1439. 1430 indexed citations breakdown →

18.

Alexander, John H., Robert W. Emery, Michel Carrier, et al.. (2008). Efficacy and Safety of Pyridoxal 5′-Phosphate (MC-1) in High-Risk Patients Undergoing Coronary Artery Bypass Graft Surgery. JAMA. 299(15). 1777–1777. 28 indexed citations

19.

Chen, Hongming, Zhong Zhang, Chris McNulty, et al.. (2003). A High-Throughput Combinatorial Approach for the Discovery of a Cremophor EL-Free Paclitaxel Formulation. Pharmaceutical Research. 20(8). 1302–1308. 39 indexed citations

20.

Chen, Hong, Olga Charlat, Louis A. Tartaglia, et al.. (1996). Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice. Cell. 84(3). 491–495. 1814 indexed citations breakdown →

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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