Jeffrey Rollo

439 total citations
14 papers, 345 citations indexed

About

Jeffrey Rollo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jeffrey Rollo has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jeffrey Rollo's work include Cardiac pacing and defibrillation studies (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Jeffrey Rollo is often cited by papers focused on Cardiac pacing and defibrillation studies (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Jeffrey Rollo collaborates with scholars based in United States, Australia and Pakistan. Jeffrey Rollo's co-authors include Jeffrey L. Anderson, Stacey Knight, John F. Carlquist, Joseph B. Muhlestein, Heidi T. May, Tami L. Bair, Stephanie Barton, Michelle Robinson, Kent M. Samuelson and Benjamin D. Horne and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Jeffrey Rollo

13 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Rollo United States 8 153 144 56 53 45 14 345
Chrissa P. Mower United States 7 99 0.6× 159 1.1× 79 1.4× 63 1.2× 44 1.0× 8 362
Fang Xia China 6 76 0.5× 159 1.1× 101 1.8× 109 2.1× 52 1.2× 12 420
Anita Hanson United Kingdom 6 71 0.5× 126 0.9× 42 0.8× 45 0.8× 49 1.1× 9 323
Ben Burkley United States 8 83 0.5× 144 1.0× 89 1.6× 66 1.2× 21 0.5× 9 400
Bryant M. Whiting United States 7 91 0.6× 149 1.0× 109 1.9× 101 1.9× 17 0.4× 10 437
Carmen M. Dumaual United States 9 109 0.7× 111 0.8× 116 2.1× 46 0.9× 9 0.2× 9 368
Acton Rt United States 8 60 0.4× 211 1.5× 56 1.0× 89 1.7× 31 0.7× 16 383
Marco Chirico Italy 6 38 0.2× 183 1.3× 32 0.6× 96 1.8× 20 0.4× 14 289
Laura Train United States 6 98 0.6× 136 0.9× 66 1.2× 20 0.4× 28 0.6× 10 289

Countries citing papers authored by Jeffrey Rollo

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Rollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Rollo

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

All Works

14 of 14 papers shown
1.
Muhlestein, J. Brent, Heidi T. May, Deborah A. Winegar, et al.. (2016). DIFFERENTIAL ASSOCIATION OF HIGH-DENSITY LIPOPROTEIN PARTICLE SUBCLASSES AND GLYCA, A NOVEL INFLAMMATORY MARKER, IN PREDICTING CARDIAC DEATH AMONG PATIENTS UNDERGOING ANGIOGRAPHY: THE INTERMOUNTAIN HEART COLLABORATIVE STUDY. Journal of the American College of Cardiology. 67(13). 162–162. 1 indexed citations
2.
May, Heidi T., Jeffrey L. Anderson, Deborah A. Winegar, et al.. (2016). Utility of high density lipoprotein particle concentration in predicting future major adverse cardiovascular events among patients undergoing angiography. Clinical Biochemistry. 49(15). 1122–1126. 6 indexed citations
3.
4.
Carlquist, John F., Stacey Knight, Richard Cawthon, et al.. (2015). Shortened telomere length is associated with paroxysmal atrial fibrillation among cardiovascular patients enrolled in the Intermountain Heart Collaborative Study. Heart Rhythm. 13(1). 21–27. 41 indexed citations
5.
Muhlestein, Joseph B., Heidi T. May, Deborah A. Winegar, et al.. (2014). GLYCA AND GLYCB, NOVEL NMR BIOMARKERS OF INFLAMMATION, STRONGLY PREDICT FUTURE CARDIOVASCULAR EVENTS, BUT NOT THE PRESENCE OF CORONARY ARTERY DISEASE (CAD), AMONG PATIENTS UNDERGOING CORONARY ANGIOGRAPHY: THE INTERMOUNTAIN HEART COLLABORATIVE STUDY. Journal of the American College of Cardiology. 63(12). A1389–A1389. 10 indexed citations
6.
May, Heidi T., Jeffrey L. Anderson, Deborah A. Winegar, et al.. (2014). UTILITY OF HIGH-DENSITY LIPOPROTEIN (HDL) CHOLESTEROL, PARTICLE CONCENTRATION, AND SIZE IN PREDICTING FUTURE MAJOR ADVERSE CARDIOVASCULAR EVENTS AMONG PATIENTS UNDERGOING ANGIOGRAPHY: THE INTERMOUNTAIN HEART COLLABORATIVE STUDY. Journal of the American College of Cardiology. 63(12). A1318–A1318. 1 indexed citations
7.
Carlquist, John F., David E. Moody, Eric O. Johnson, et al.. (2014). METHADONE-INDUCED QTC PROLONGATION IS ASSOCIATED WITH CYP2C19 GENOTYPE AND WITH PLASMA ETHYLIDENE-1,5-DIMETHYL-3,3-DIPHENYLPYRROLIDENE (EDDP) CONCENTRATION: A POSSIBLE MECHANISTIC LINK. Journal of the American College of Cardiology. 63(12). A445–A445.
8.
Rollo, Jeffrey, Stacey Knight, Heidi T. May, et al.. (2014). Incidence of Dementia in Relation to Genetic Variants at PITX2, ZFHX3, and ApoE ε4 in Atrial Fibrillation Patients. Pacing and Clinical Electrophysiology. 38(2). 171–177. 32 indexed citations
9.
Knight, Stacey, Richard Cawthon, Benjamin D. Horne, et al.. (2013). TELOMERE LENGTH IS ASSOCIATED WITH SURVIVAL AMONG PATIENTS REFERRED FOR ANGIOGRAPHY. Journal of the American College of Cardiology. 61(10). E1509–E1509. 2 indexed citations
10.
Rollo, Jeffrey, Stacey Knight, Heidi T. May, et al.. (2013). INCIDENCE OF DEMENTIA IN RELATION TO GENETIC VARIANTS AT 4Q25 AND APOE ɛ4 IN ATRIAL FIBRILLATION PATIENTS. Journal of the American College of Cardiology. 61(10). E302–E302. 2 indexed citations
11.
Knight, Stacey, Jeffrey Rollo, J. Brent Muhlestein, et al.. (2013). Cardiovascular risk among patients on clopidogrel anti-platelet therapy after placement of drug-eluting stents is modified by genetic variants in both the CYP2C19 and ABCB1 genes. Thrombosis and Haemostasis. 109(4). 744–754. 30 indexed citations
12.
Anderson, Jeffrey L., Stacey Knight, Heidi T. May, et al.. (2013). Validation and Quantification of Genetic Determinants of Lipoprotein-a Levels and Predictive Value for Angiographic Coronary Artery Disease. The American Journal of Cardiology. 112(6). 799–804. 13 indexed citations
13.
Anderson, Jeffrey L., Benjamin D. Horne, Scott M. Stevens, et al.. (2012). A Randomized and Clinical Effectiveness Trial Comparing Two Pharmacogenetic Algorithms and Standard Care for Individualizing Warfarin Dosing (CoumaGen-II). Circulation. 125(16). 1997–2005. 170 indexed citations
14.
Barkworth, Mary E., D. Richard Cutler, Jeffrey Rollo, Surrey W. L. Jacobs, & Abdur Rashid. (2009). Morphological identification of genomic genera in the Triticeae. Breeding Science. 59(5). 561–570. 14 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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