Joshua Lampert

507 total citations
32 papers, 196 citations indexed

About

Joshua Lampert is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Joshua Lampert has authored 32 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Joshua Lampert's work include Cardiac Arrhythmias and Treatments (11 papers), ECG Monitoring and Analysis (7 papers) and Cardiac pacing and defibrillation studies (7 papers). Joshua Lampert is often cited by papers focused on Cardiac Arrhythmias and Treatments (11 papers), ECG Monitoring and Analysis (7 papers) and Cardiac pacing and defibrillation studies (7 papers). Joshua Lampert collaborates with scholars based in United States, Israel and Türkiye. Joshua Lampert's co-authors include Akhil Vaid, Girish N. Nadkarni, Benjamin S. Glicksberg, Edgar Argulian, Alexander W. Charney, Stamatios Lerakis, Jagat Narula, Marc A. Miller, Vivek Y. Reddy and Hayit Greenspan and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Joshua Lampert

23 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Lampert United States 8 116 35 33 28 26 32 196
Matthew M. Kalscheur United States 7 234 2.0× 37 1.1× 24 0.7× 25 0.9× 45 1.7× 16 319
Fayzan Chaudhry United States 8 147 1.3× 15 0.4× 35 1.1× 31 1.1× 13 0.5× 10 280
Irena Andršová Czechia 11 213 1.8× 40 1.1× 54 1.6× 27 1.0× 30 1.2× 27 305
Rutger R van de Leur Netherlands 10 214 1.8× 20 0.6× 28 0.8× 42 1.5× 16 0.6× 24 269
Carolyn J. Park United States 6 257 2.2× 14 0.4× 51 1.5× 12 0.4× 15 0.6× 23 331
Wei-Yin Ko United States 4 168 1.4× 33 0.9× 44 1.3× 31 1.1× 18 0.7× 7 218
Lucas Plagwitz Germany 7 62 0.5× 68 1.9× 34 1.0× 69 2.5× 11 0.4× 19 231
Pulkit Singh United States 6 184 1.6× 19 0.5× 44 1.3× 23 0.8× 14 0.5× 13 252
Christopher Reeder United States 7 187 1.6× 19 0.5× 44 1.3× 23 0.8× 15 0.6× 20 274
Julie K. Shade United States 11 277 2.4× 12 0.3× 76 2.3× 19 0.7× 10 0.4× 16 419

Countries citing papers authored by Joshua Lampert

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Lampert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Lampert

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Lampert. A scholar is included among the top collaborators of Joshua Lampert 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 Joshua Lampert. Joshua Lampert 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.
Jiang, Joy, Pushkala Jayaraman, Joshua Lampert, et al.. (2026). ChatGPT Health performance in a structured test of triage recommendations. Nature Medicine.
2.
Lampert, Joshua, Deepak L. Bhatt, Akhil Vaid, et al.. (2025). Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy. NEJM AI. 2(5). 3 indexed citations
3.
Power, John, et al.. (2025). PO-01-106 POSTERIOR WALL MURAL THROMBUS FOLLOWING PULSE FIELD ABLATION. Heart Rhythm. 22(4). S171–S172.
4.
Holmes, Emma, Akhil Vaid, Alexander W. Charney, et al.. (2025). InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records. Nature Communications. 16(1). 8475–8475.
5.
Anyanwu, Anelechi, George Shaw, Daniel R. Musikantow, et al.. (2025). Mechanical Vacuum Aspiration and Debulking of Large Vegetations During Cardiac Implantable Electronic Device Extraction. Journal of the American College of Cardiology. 86(14). 1033–1042.
6.
Lampert, Joshua, Jacob S. Koruth, Marc A. Miller, & Vivek Y. Reddy. (2024). A novel etiology for automatic mode switching and ventricular noise reversion alerts: pulsed field ablation. HeartRhythm Case Reports. 10(11). 855–857. 3 indexed citations
7.
Maan, Abhishek, Daniel R. Musikantow, Mohit K. Turagam, et al.. (2024). Abstract 4145890: P-Wave Parameters on 12-Lead Electrocardiogram after Catheter Ablation: A Comparison between Pulsed Field Ablation and Cryoablation. Circulation. 150(Suppl_1). 1 indexed citations
8.
Jia, Kelly, Paurush Ambesh, Chi Zhang, et al.. (2024). PO-05-112 CORONARY ARTERIAL SPASM DURING ABLATION WITH A NOVEL LASSO PULSED FIELD ABLATION CATHETER AND ASSESSMENT OF A NITROGLYCERIN PREVENTIVE STRATEGY. Heart Rhythm. 21(5). S526–S526. 1 indexed citations
9.
Klang, Eyal, Akhil Vaid, Joshua Lampert, et al.. (2024). A strategy for cost-effective large language model use at health system-scale. npj Digital Medicine. 7(1). 320–320. 17 indexed citations
11.
Vaid, Akhil, Joy Jiang, Stamatios Lerakis, et al.. (2023). A foundational vision transformer improves diagnostic performance for electrocardiograms. npj Digital Medicine. 6(1). 108–108. 58 indexed citations
12.
Duong, Son Q., Akhil Vaid, Ha My T. Vy, et al.. (2023). Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association. 13(1). e031671–e031671. 8 indexed citations
13.
Vaid, Akhil, Edgar Argulian, Stamatios Lerakis, et al.. (2023). Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction. SHILAP Revista de lepidopterología. 3(1). 24–24. 15 indexed citations
14.
Kawamura, Iwanari, Vivek Y. Reddy, Kelly Jia, et al.. (2023). PO-04-096 CREATING DEEP VENTRICULAR LESIONS WITH NANOSECOND PULSED FIELD ABLATION: PATHOLOGICAL AND IMAGING INSIGHTS FROM PRECLINICAL EVALUATION. Heart Rhythm. 20(5). S522–S523. 2 indexed citations
15.
Lampert, Joshua, Akhil Vaid, William Whang, et al.. (2023). PO-04-154 A NOVEL 12-LEAD ECG-BASED DEEP LEARNING ALGORITHM TO PREDICT CARDIOMYOPATHY IN PATIENTS WITH PVCS. Heart Rhythm. 20(5). S608–S608. 1 indexed citations
16.
Power, David, Joshua Lampert, Anton Camaj, et al.. (2022). Cardiovascular Complications of Interatrial Conduction Block. Journal of the American College of Cardiology. 79(12). 1199–1211. 21 indexed citations
17.
Lampert, Joshua, Michael S. Miller, Jonathan L. Halperin, et al.. (2021). Prognostic Value of Electrocardiographic QRS Diminution in Patients With COVID-19. Journal of the American College of Cardiology. 77(17). 2258–2259. 2 indexed citations
18.
Lampert, Joshua, Matthew Finn, Alex Kantor, et al.. (2020). Urologic Complications in Patients Receiving Indwelling Urinary Catheters During Transcatheter Aortic Valve Replacement. ˜The œJournal of invasive cardiology. 32(7). 269–274. 2 indexed citations
19.
Supino, Phyllis G., Abhishek Sharma, Joshua Lampert, et al.. (2017). Impact of Beta-Blockade on Cardiac Events in Patients with Chronic Severe Nonischemic Mitral Regurgitation. Cardiology. 139(1). 1–6. 2 indexed citations
20.
Lampert, Joshua, et al.. (2009). Splenic rupture as a complication of colonoscopy: Report of a case. Surgery Today. 40(1). 68–71. 8 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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