Mark D. Kelemen

1.6k total citations
20 papers, 901 citations indexed

About

Mark D. Kelemen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mark D. Kelemen has authored 20 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Mark D. Kelemen's work include Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Health and Mental Health (3 papers). Mark D. Kelemen is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Health and Mental Health (3 papers). Mark D. Kelemen collaborates with scholars based in United States, South Korea and Canada. Mark D. Kelemen's co-authors include Gary Gerstenblith, Kerry J. Stewart, Ergin Atalar, Michael H. Kelemen, João A.C. Lima, Elias A. Zerhouni, Ronald E. Gillilan, Luís Cláudio Lemos Correia, Craig K. Ewart and John Manley and has published in prestigious journals such as JAMA, Journal of the American College of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Mark D. Kelemen

19 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Kelemen United States 10 329 300 198 134 122 20 901
Arlene B. Levine United States 16 142 0.4× 661 2.2× 126 0.6× 264 2.0× 176 1.4× 33 1.1k
Alex L. Huang United States 11 102 0.3× 348 1.2× 283 1.4× 212 1.6× 82 0.7× 28 954
A L Muir United Kingdom 17 189 0.6× 326 1.1× 80 0.4× 174 1.3× 28 0.2× 52 922
James L. Ferguson United States 18 125 0.4× 129 0.4× 253 1.3× 117 0.9× 19 0.2× 53 1.0k
Eike Hoberg Germany 11 294 0.9× 921 3.1× 168 0.8× 389 2.9× 178 1.5× 31 1.5k
Danijela Trifunović Serbia 13 241 0.7× 716 2.4× 83 0.4× 202 1.5× 50 0.4× 60 959
Ali Vazir United Kingdom 17 73 0.2× 512 1.7× 379 1.9× 177 1.3× 42 0.3× 51 1.1k
C. Philip Larson United States 20 79 0.2× 308 1.0× 123 0.6× 200 1.5× 30 0.2× 48 1.4k
George Karayannis Greece 9 72 0.2× 761 2.5× 68 0.3× 130 1.0× 69 0.6× 13 1.0k
Douglas C. Russell United Kingdom 18 215 0.7× 707 2.4× 204 1.0× 121 0.9× 33 0.3× 42 1.3k

Countries citing papers authored by Mark D. Kelemen

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Kelemen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Kelemen. 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 Mark D. Kelemen. The network helps show where Mark D. Kelemen may publish in the future.

Co-authorship network of co-authors of Mark D. Kelemen

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

All Works

20 of 20 papers shown
1.
Overby, Casey Lynnette, et al.. (2017). Using Workflow Modeling to Identify Areas to Improve Genetic Test Processes in the University of Maryland Translational Pharmacogenomics Project.. PubMed. 2015. 466–74. 5 indexed citations
2.
Beitelshees, Amber L., James J. Cimino, Guilherme Del Fiol, et al.. (2016). User-centered design of multi-gene sequencing panel reports for clinicians. Journal of Biomedical Informatics. 63. 1–10. 15 indexed citations
3.
Vaidya, Dhananjay, Mark D. Kelemen, Vera Bittner, et al.. (2007). Fasting Plasma Glucose Predicts Survival And Angiographic Progression in High-Risk Postmenopausal Women with Coronary Artery Disease. Journal of Women s Health. 16(2). 228–234. 3 indexed citations
4.
Kelemen, Mark D., et al.. (2007). Acute Coronary Syndromes in the Elderly. Clinics in Geriatric Medicine. 23(2). 425–440. 18 indexed citations
5.
Kelemen, Mark D.. (2006). Angina Pectoris: Evaluation in the Office. Medical Clinics of North America. 90(3). 391–416. 2 indexed citations
6.
Kelemen, Mark D., et al.. (2006). Early Management of ST-segment Elevation Myocardial Infarction. Cardiology Clinics. 24(1). 37–51. 3 indexed citations
7.
Schulman, Steven P., Lewis C. Becker, David A. Kass, et al.. (2006). L-Arginine Therapy in Acute Myocardial Infarction. JAMA. 295(1). 58–58. 255 indexed citations
8.
Vesely, Mark R. & Mark D. Kelemen. (2006). Cardiac Risk Assessment: Matching Intensity of Therapy to Risk. Cardiology Clinics. 24(1). 67–78. 4 indexed citations
9.
White, Charles S., Dick Kuo, Mark D. Kelemen, et al.. (2005). Chest Pain Evaluation in the Emergency Department: Can MDCT Provide a Comprehensive Evaluation?. American Journal of Roentgenology. 185(2). 533–540. 155 indexed citations
11.
Ouyang, Pamela, Jidong Sung, Mark D. Kelemen, et al.. (2004). Relationships of Insulin Sensitivity with Fatness and Fitness and in Older Men and Women. Journal of Women s Health. 13(2). 177–185. 12 indexed citations
12.
Correia, Luís Cláudio Lemos, Ergin Atalar, Mark D. Kelemen, et al.. (1997). Intravascular Magnetic Resonance Imaging of Aortic Atherosclerotic Plaque Composition. Arteriosclerosis Thrombosis and Vascular Biology. 17(12). 3626–3632. 64 indexed citations
13.
Correia, Luís Cláudio Lemos, Ergin Atalar, Mark D. Kelemen, et al.. (1996). Intravascular quantification of human atherosclerotic burden: Magnetic resonance imaging versus ultrasound. Journal of the American College of Cardiology. 27(2). 17–17. 2 indexed citations
14.
Atalar, Ergin, Paul A. Bottomley, Luís Cláudio Lemos Correia, et al.. (1996). High resolution intravascular MRI and MRS by using a catheter receiver coil. Magnetic Resonance in Medicine. 36(4). 596–605. 137 indexed citations
15.
Kelemen, Michael H., Kerry J. Stewart, Ronald E. Gillilan, et al.. (1986). Circuit weight training in cardiac patients. Journal of the American College of Cardiology. 7(1). 38–42. 118 indexed citations
16.
Ewart, Craig K., Kerry J. Stewart, Ronald E. Gillilan, et al.. (1986). Usefulness of self-efficacy in predicting overexertion during programmed exercise in coronary artery disease. The American Journal of Cardiology. 57(8). 557–561. 65 indexed citations
17.
Stewart, Kerry J., Michael H. Kelemen, Ronald E. Gillilan, et al.. (1985). CIRCUIT WEIGHT TRAINING IN CARDIAC PATIENTS. Medicine & Science in Sports & Exercise. 17(2). 239–239. 2 indexed citations
18.
Kelemen, Michael H., et al.. (1984). CIRCUIT WEIGHT TRAINING IN A CARDIAC REHABILITATION PROGRAM. Medicine & Science in Sports & Exercise. 16(2). 128–128. 2 indexed citations
19.
Gillilan, Ronald E., Michael H. Kelemen, Kerry J. Stewart, et al.. (1984). PREDICTION OF COMPLIANCE TO TARGET HEART RATE DURING WALK-JOG EXERCISE IN CARDIAC PATIENTS BY A SELF-EFFICACY SCALE. Medicine & Science in Sports & Exercise. 16(2). 115–115. 3 indexed citations
20.
Kelemen, Michael H., et al.. (1984). CIRCUIT WEIGHT TRAINING IN A CARDIAC REHABILITATION PROGRAM. Medicine & Science in Sports & Exercise. 16(2). 128–128. 1 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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