David Lanctin

565 total citations
22 papers, 420 citations indexed

About

David Lanctin is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Lanctin has authored 22 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Lanctin's work include Cardiac pacing and defibrillation studies (7 papers), Neurological disorders and treatments (6 papers) and Telemedicine and Telehealth Implementation (4 papers). David Lanctin is often cited by papers focused on Cardiac pacing and defibrillation studies (7 papers), Neurological disorders and treatments (6 papers) and Telemedicine and Telehealth Implementation (4 papers). David Lanctin collaborates with scholars based in United States, United Kingdom and Ireland. David Lanctin's co-authors include Aviva Abosch, Lynn E. Eberly, Nuri F. Ince, David Satzer, John A. Thompson, İbrahim Onaran, Lars Timmermann, Patrick J. Connolly, Donald Whiting and Marwan Hariz and has published in prestigious journals such as Circulation, European Heart Journal and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

David Lanctin

19 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lanctin United States 9 302 259 81 45 34 22 420
Jacob Lafo United States 8 254 0.8× 51 0.2× 43 0.5× 19 0.4× 39 1.1× 13 335
Rita Schnitzer Germany 3 355 1.2× 120 0.5× 29 0.4× 64 1.4× 21 0.6× 3 429
Sang‐Won Yoo South Korea 11 268 0.9× 65 0.3× 77 1.0× 15 0.3× 37 1.1× 40 361
Fabienne Sprenger Austria 8 277 0.9× 67 0.3× 43 0.5× 18 0.4× 34 1.0× 9 325
Kirsty Bhattacharya United States 8 254 0.8× 72 0.3× 74 0.9× 18 0.4× 13 0.4× 9 305
Silke Prieur Germany 9 253 0.8× 54 0.2× 46 0.6× 118 2.6× 20 0.6× 9 369
Roberta Bovenzi Italy 11 223 0.7× 62 0.2× 83 1.0× 11 0.2× 29 0.9× 39 310
Jennifer E. Vaughan United States 6 337 1.1× 153 0.6× 55 0.7× 10 0.2× 12 0.4× 6 401
Krzysztof Banaszkiewicz Poland 11 196 0.6× 99 0.4× 9 0.1× 41 0.9× 6 0.2× 19 325
Adriano Bernini Switzerland 11 109 0.4× 37 0.1× 53 0.7× 20 0.4× 30 0.9× 23 276

Countries citing papers authored by David Lanctin

Since Specialization
Citations

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

Fields of papers citing papers by David Lanctin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lanctin

This figure shows the co-authorship network connecting the top 25 collaborators of David Lanctin. A scholar is included among the top collaborators of David Lanctin 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 David Lanctin. David Lanctin 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.
Allred, James, et al.. (2025). Current practices in managing patients with cardiac implantable electronic devices: Results of an international survey. Heart Rhythm O2. 6(6). 781–788. 1 indexed citations
3.
Ahmed, Fozia, Glen P. Martin, Matthew Kahn, et al.. (2024). Association of a Device-Based Remote Management Heart Failure Pathway with Outcomes: TriageHF Plus Real-World Evaluation. ESC Heart Failure. 11(5). 2637–2647. 8 indexed citations
4.
Gold, Michael R., Jiani Zhou, Lucas Higuera, David Lanctin, & Eugene Chung. (2024). Association Between the Use of an Adaptive Cardiac Resynchronization Therapy Algorithm and Health Care Use and Cost. Journal of Cardiac Failure. 31(1). 52–62.
5.
Rosman, Lindsey, et al.. (2023). A Patient-Centered Intervention Reduces Disparities in Remote Monitoring in Patients With Implanted Cardiac Devices. JACC. Clinical electrophysiology. 10(2). 316–330.
6.
Elkind, Mitchell S.V., Klaus K. Witte, Scott E. Kasner, et al.. (2023). Cost-effectiveness of an insertable cardiac monitor in a high-risk population in the US. BMC Cardiovascular Disorders. 23(1). 45–45. 3 indexed citations
7.
Ahmed, Fozia, Glen P. Martin, Colin Cunnington, et al.. (2022). Use of a device-based remote management heart failure care pathway is associated with reduced hospitalization and improved patient outcomes: TriageHF Plus real-world evaluation. European Heart Journal. 43(Supplement_2). 2 indexed citations
8.
Lanctin, David, et al.. (2021). Clinic Time Required for Remote and In-Person Management of Patients With Cardiac Devices: Time and Motion Workflow Evaluation. JMIR Cardio. 5(2). e27720–e27720. 26 indexed citations
10.
Lanctin, David, et al.. (2020). Abstract 287: Vendor-neutral Clinic Management Software Use Is Associated With Time Savings For Remote Monitoring. Circulation Cardiovascular Quality and Outcomes. 13(Suppl_1). 1 indexed citations
11.
Lanctin, David, et al.. (2020). Clinic time required to manage cardiac implantable electronic device patients: a time and motion workflow evaluation. European Heart Journal. 41(Supplement_2). 1 indexed citations
12.
Sulo, Suela, et al.. (2020). Budget Impact Analysis of a Home-Based Nutrition Program for Adults at Risk for Malnutrition.. PubMed. 13(3). 95–101. 8 indexed citations
13.
Lanctin, David, et al.. (2020). Abstract 14046: An International Assessment of the Clinic Staff Time Required to Manage Cardiac Device Patients. Circulation. 142(Suppl_3). 1 indexed citations
15.
Lanctin, David, et al.. (2019). Prevalence and Economic Burden of Malnutrition Diagnosis Among Patients Presenting to United States Emergency Departments. Academic Emergency Medicine. 28(3). 325–335. 26 indexed citations
16.
Satzer, David, Eric Maurer, David Lanctin, Weihua Guan, & Aviva Abosch. (2014). Anatomic correlates of deep brain stimulation electrode impedance. Journal of Neurology Neurosurgery & Psychiatry. 86(4). 398–403. 18 indexed citations
17.
Satzer, David, David Lanctin, Lynn E. Eberly, & Aviva Abosch. (2014). Variation in Deep Brain Stimulation Electrode Impedance over Years Following Electrode Implantation. Stereotactic and Functional Neurosurgery. 92(2). 94–102. 72 indexed citations
18.
Thompson, John A., David Lanctin, Nuri F. Ince, & Aviva Abosch. (2014). Clinical Implications of Local Field Potentials for Understanding and Treating Movement Disorders. Stereotactic and Functional Neurosurgery. 92(4). 251–263. 67 indexed citations
19.
Abosch, Aviva, Lars Timmermann, Donald Whiting, et al.. (2012). An International Survey of Deep Brain Stimulation Procedural Steps. Stereotactic and Functional Neurosurgery. 91(1). 1–11. 84 indexed citations
20.
Abosch, Aviva, et al.. (2012). Long-term Recordings of Local Field Potentials From Implanted Deep Brain Stimulation Electrodes. Neurosurgery. 71(4). 804–814. 95 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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