James W. Warren

1.6k total citations
49 papers, 1.3k citations indexed

About

James W. Warren is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, James W. Warren has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in James W. Warren's work include Cardiac electrophysiology and arrhythmias (32 papers), ECG Monitoring and Analysis (20 papers) and Cardiac Arrhythmias and Treatments (13 papers). James W. Warren is often cited by papers focused on Cardiac electrophysiology and arrhythmias (32 papers), ECG Monitoring and Analysis (20 papers) and Cardiac Arrhythmias and Treatments (13 papers). James W. Warren collaborates with scholars based in Canada, United States and Sweden. James W. Warren's co-authors include Pentti M. Rautaharju, Harry P. Calhoun, B. Milan Horáček, Jerome Schlomer, Mitzi Nagarkatti, Wentao Jia, Robert J. McKallip, Prakash Nagarkatti, Charles L. Feldman and H. K. Wolf and has published in prestigious journals such as Circulation, The Journal of Infectious Diseases and The American Journal of Cardiology.

In The Last Decade

James W. Warren

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James W. Warren Canada 20 802 178 159 101 98 49 1.3k
Paul A. Scott United Kingdom 22 725 0.9× 151 0.8× 74 0.5× 87 0.9× 155 1.6× 75 1.3k
V. Bala Subramanian United Kingdom 19 690 0.9× 252 1.4× 88 0.6× 124 1.2× 110 1.1× 51 1.2k
Chih‐Tai Ting Taiwan 22 711 0.9× 119 0.7× 118 0.7× 379 3.8× 245 2.5× 67 1.5k
Peter Smetana Austria 21 1.2k 1.5× 69 0.4× 28 0.2× 301 3.0× 76 0.8× 51 1.3k
R. Wayne Campbell United Kingdom 13 1.0k 1.3× 108 0.6× 21 0.1× 204 2.0× 61 0.6× 30 1.2k
Velislav N. Batchvarov United Kingdom 22 1.7k 2.2× 153 0.9× 25 0.2× 455 4.5× 114 1.2× 65 1.9k
Sandra Olsson Sweden 21 2.5k 3.1× 231 1.3× 30 0.2× 272 2.7× 267 2.7× 45 3.2k
D A Brodie United Kingdom 12 137 0.2× 55 0.3× 185 1.2× 116 1.1× 124 1.3× 22 883
Paweł Krzesiński Poland 17 755 0.9× 92 0.5× 31 0.2× 364 3.6× 181 1.8× 120 1.3k
D. J. Rowlands United Kingdom 16 394 0.5× 147 0.8× 36 0.2× 116 1.1× 147 1.5× 41 915

Countries citing papers authored by James W. Warren

Since Specialization
Citations

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

Fields of papers citing papers by James W. Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Warren. 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 James W. Warren. The network helps show where James W. Warren may publish in the future.

Co-authorship network of co-authors of James W. Warren

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Warren. A scholar is included among the top collaborators of James W. Warren 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 James W. Warren. James W. Warren 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.
Zhou, Shijie, et al.. (2023). Improving localization accuracy for non-invasive automated early left ventricular origin localization approach. Frontiers in Physiology. 14. 1183280–1183280. 1 indexed citations
2.
Zhou, Shijie, Amir AbdelWahab, John L. Sapp, et al.. (2021). Assessment of an ECG‐Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease. Journal of the American Heart Association. 10(20). e022217–e022217. 8 indexed citations
3.
Zhou, Shijie, Amir AbdelWahab, B. Milan Horáček, et al.. (2020). Prospective Assessment of an Automated Intraprocedural 12-Lead ECG-Based System for Localization of Early Left Ventricular Activation. Circulation Arrhythmia and Electrophysiology. 13(7). e008262–e008262. 15 indexed citations
4.
Zhou, Shijie, Amir AbdelWahab, John L. Sapp, et al.. (2020). Prospective Multicenter Assessment of a New Intraprocedural Automated System for Localizing Idiopathic Ventricular Arrhythmia Origins. JACC. Clinical electrophysiology. 7(3). 395–407. 3 indexed citations
5.
Zhou, Shijie, John L. Sapp, B. Milan Horáček, et al.. (2019). Automated intraprocedural localization of origin of ventricular activation using patient-specific computed tomographic imaging. Heart Rhythm. 17(4). 567–575. 6 indexed citations
6.
Wang, John, Olle Pahlm, James W. Warren, John L. Sapp, & B. Milan Horáček. (2018). Criteria for ECG detection of acute myocardial ischemia: Sensitivity versus specificity. Journal of Electrocardiology. 51(6). S12–S17. 20 indexed citations
7.
Zhou, Shijie, B. Milan Horáček, James W. Warren, Amir AbdelWahab, & John L. Sapp. (2018). Rapid 12-lead automated localization method: Comparison to electrocardiographic imaging (ECGI) in patient-specific geometry. Journal of Electrocardiology. 51(6). S92–S97. 6 indexed citations
8.
Sapp, John L., et al.. (2017). Real-Time Localization of Ventricular Tachycardia Origin From the 12-Lead Electrocardiogram. JACC. Clinical electrophysiology. 3(7). 687–699. 43 indexed citations
9.
Wang, John, Olle Pahlm, Galen S. Wagner, et al.. (2016). Validation of the vessel-specific leads (VSLs) for detection of acute ischemia on a dataset with non-ischemic ST-segment deviation. Journal of Electrocardiology. 49(6). 800–806. 2 indexed citations
10.
Wang, John, Lawrence Title, Thomas N. Martin, et al.. (2015). Validation of improved vessel-specific leads (VSLs) for detecting acute myocardial ischemia. Journal of Electrocardiology. 48(6). 1032–1039. 10 indexed citations
11.
Hedén, Bo, Fredrik Hedeer, Jonas Jögi, et al.. (2013). Discrimination of ST deviation caused by acute coronary occlusion from normal variants and other abnormal conditions, using computed electrocardiographic imaging based on 12-lead ECG. Journal of Electrocardiology. 46(3). 197–203. 9 indexed citations
12.
Horáček, B. Milan, James W. Warren, & John Wang. (2008). On designing and testing transformations for derivation of standard 12-lead/18-lead electrocardiograms and vectorcardiograms from reduced sets of predictor leads. Journal of Electrocardiology. 41(3). 220–229. 27 indexed citations
13.
Wagner, Galen S., et al.. (2007). Comparison of the Selvester QRS scoring system applied on standard versus high-resolution electrocardiographic recordings. Journal of Electrocardiology. 40(3). 288–291. 2 indexed citations
14.
Fitz‐Clarke, John R., John L. Sapp, James W. Warren, John Clements, & B. Milan Horáček. (2006). Body surface potential mapping and computer simulation of human ventricular fibrillation. Computing in Cardiology Conference. 397–400. 2 indexed citations
15.
Sapp, John L., et al.. (2006). Body-surface potential mapping to aid ablation of scar-related ventricular tachycardia. Journal of Electrocardiology. 39(4). S87–S95. 4 indexed citations
16.
McKallip, Robert J., Wentao Jia, Jerome Schlomer, et al.. (2006). Cannabidiol-Induced Apoptosis in Human Leukemia Cells: A Novel Role of Cannabidiol in the Regulation of p22 and Nox4 Expression. Molecular Pharmacology. 70(3). 897–908. 183 indexed citations
17.
Horáček, B. Milan, et al.. (2005). Development of an automated Selvester Scoring System for estimating the size of myocardial infarction from the electrocardiogram. Journal of Electrocardiology. 39(2). 162–168. 22 indexed citations
18.
Altman, Ronni, et al.. (2003). Using protein‐based motifs to stabilize peptides. Journal of Peptide Research. 62(5). 214–226. 28 indexed citations
19.
Warren, James W., et al.. (2002). Statistical and deterministic approaches to designing transformations of electrocardiographic leads. Journal of Electrocardiology. 35(4). 41–52. 35 indexed citations
20.
Rautaharju, Pentti M., James W. Warren, & Harry P. Calhoun. (1990). Estimation of QT prolongation. Journal of Electrocardiology. 23. 111–117. 102 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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