Daniel R. Lexcen

1.3k total citations
41 papers, 570 citations indexed

About

Daniel R. Lexcen is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Daniel R. Lexcen has authored 41 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 8 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Daniel R. Lexcen's work include Cardiac pacing and defibrillation studies (30 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac Arrhythmias and Treatments (13 papers). Daniel R. Lexcen is often cited by papers focused on Cardiac pacing and defibrillation studies (30 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac Arrhythmias and Treatments (13 papers). Daniel R. Lexcen collaborates with scholars based in United States, Canada and Sweden. Daniel R. Lexcen's co-authors include Gregory J. Beilman, Kristine E. Mulier, Elizabeth R. Lusczek, Nancy E. Witowski, Khaldoun G. Tarakji, Bruce L. Wilkoff, Suneet Mittal, Charles Kennergren, Jeanne E. Poole and Alan Cheng and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and American Heart Journal.

In The Last Decade

Daniel R. Lexcen

41 papers receiving 558 citations

Peers

Daniel R. Lexcen
Matthew S. Yong Australia
Sara Saberi United States
Jong‐Hwa Ahn South Korea
D. L. Traber United States
Junwu Su China
Jinlei Li United States
Seigo Okada Japan
B Cauliez France
Yi Liang China
Matthew S. Yong Australia
Daniel R. Lexcen
Citations per year, relative to Daniel R. Lexcen Daniel R. Lexcen (= 1×) peers Matthew S. Yong

Countries citing papers authored by Daniel R. Lexcen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Lexcen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Lexcen. 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 Daniel R. Lexcen. The network helps show where Daniel R. Lexcen may publish in the future.

Co-authorship network of co-authors of Daniel R. Lexcen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Lexcen. A scholar is included among the top collaborators of Daniel R. Lexcen 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 Daniel R. Lexcen. Daniel R. Lexcen 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.
2.
Singh, Balbir, Yu‐Cheng Hsieh, Yen‐Bin Liu, et al.. (2023). Cardioverter-defibrillator reduces mortality risk in eligible ischemic and non-ischemic cardiomyopathy patients: Sub-analysis of the multi-center Improve SCA study. Indian Heart Journal. 75(2). 115–121. 3 indexed citations
3.
Ahmed, Fozia, Carina Blomström‐Lundqvist, Heather L. Bloom, et al.. (2021). Use of healthcare claims to validate the Prevention of Arrhythmia Device Infection Trial cardiac implantable electronic device infection risk score. EP Europace. 23(9). 1446–1455. 25 indexed citations
4.
Mittal, Suneet, Bruce L. Wilkoff, Jeanne E. Poole, et al.. (2021). Low-temperature electrocautery reduces adverse effects from secondary cardiac implantable electronic device procedures: Insights from the WRAP-IT trial. Heart Rhythm. 18(7). 1142–1150. 4 indexed citations
5.
Tarakji, Khaldoun G., Andrew D. Krahn, Jeanne E. Poole, et al.. (2021). Risk Factors for CIED Infection After Secondary Procedures. JACC. Clinical electrophysiology. 8(1). 101–111. 23 indexed citations
6.
Poole, Jeanne E., Charles D. Swerdlow, Khaldoun G. Tarakji, et al.. (2021). Clinical performance of implantable cardioverter-defibrillator lead monitoring diagnostics. Heart Rhythm. 19(3). 363–371. 3 indexed citations
7.
Wilkoff, Bruce L., Giuseppe Boriani, Suneet Mittal, et al.. (2020). Impact of Cardiac Implantable Electronic Device Infection. Circulation Arrhythmia and Electrophysiology. 13(5). 54 indexed citations
8.
Sohail, M. Rizwan, G. Ralph Corey, Bruce L. Wilkoff, et al.. (2020). Clinical Presentation, Timing, and Microbiology of CIED Infections. JACC. Clinical electrophysiology. 7(1). 50–61. 17 indexed citations
9.
Joung, Boyoung, Daniel R. Lexcen, Marc T. Silver, et al.. (2019). Additional antitachycardia pacing programming strategies further reduce unnecessary implantable cardioverter-defibrillator shocks. Heart Rhythm. 17(1). 98–105. 5 indexed citations
10.
Boersma, Lucas V.A., Béla Merkely, Petr Neužil, et al.. (2018). Therapy From a Novel Substernal Lead. JACC. Clinical electrophysiology. 5(2). 186–196. 28 indexed citations
11.
Eby, Elizabeth L., et al.. (2017). ANTIBACTERIAL ENVELOPE IS ASSOCIATED WITH MEDICAL COST SAVINGS IN PATIENTS AT HIGH RISK FOR CARDIOVASCULAR IMPLANTABLE ELECTRONIC DEVICE INFECTION. Journal of the American College of Cardiology. 69(11). 382–382. 1 indexed citations
12.
Henrikson, Charles A., M. Rizwan Sohail, Helbert Acosta, et al.. (2017). Antibacterial Envelope Is Associated With Low Infection Rates After Implantable Cardioverter-Defibrillator and Cardiac Resynchronization Therapy Device Replacement. JACC. Clinical electrophysiology. 3(10). 1158–1167. 42 indexed citations
13.
Witowski, Nancy E., Elizabeth R. Lusczek, Daniel R. Lexcen, et al.. (2016). Metabolomic analysis of survival in carbohydrate pre-fed pigs subjected to shock and polytrauma. Molecular BioSystems. 12(5). 1638–1652. 2 indexed citations
14.
Sterns, Laurence D., Mathias Meine, Takashi Kurita, et al.. (2016). Extended detection time to reduce shocks is safe in secondary prevention patients: The secondary prevention substudy of PainFree SST. Heart Rhythm. 13(7). 1489–1496. 22 indexed citations
15.
16.
Lusczek, Elizabeth R., Tyrone L. Vincent, Daniel R. Lexcen, et al.. (2015). Metabolic networks in a porcine model of trauma and hemorrhagic shock demonstrate different control mechanism with carbohydrate pre-feed. BMC Emergency Medicine. 15(1). 13–13. 2 indexed citations
17.
Silver, Marc T., Laurence D. Sterns, Jonathan P. Piccini, et al.. (2014). Feedback to providers improves evidence-based implantable cardioverter-defibrillator programming and reduces shocks. Heart Rhythm. 12(3). 545–553. 11 indexed citations
18.
Lusczek, Elizabeth R., et al.. (2013). Prolonged Induced Hypothermia in Hemorrhagic Shock Is Associated With Decreased Muscle Metabolism. Shock. 41(1). 79–84. 12 indexed citations
19.
Lexcen, Daniel R., Elizabeth R. Lusczek, Nancy E. Witowski, Kristine E. Mulier, & Gregory J. Beilman. (2012). Metabolomics classifies phase of care and identifies risk for mortality in a porcine model of multiple injuries and hemorrhagic shock. The Journal of Trauma: Injury, Infection, and Critical Care. 73(2). S147–S155. 26 indexed citations
20.
Mulier, Kristine E., et al.. (2011). Treatment with beta-hydroxybutyrate and melatonin is associated with improved survival in a porcine model of hemorrhagic shock. Resuscitation. 83(2). 253–258. 25 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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