Jonathan Chrispin

3.2k total citations
110 papers, 2.0k citations indexed

About

Jonathan Chrispin is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan Chrispin has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cardiology and Cardiovascular Medicine, 22 papers in Physiology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan Chrispin's work include Cardiac Arrhythmias and Treatments (54 papers), Cardiac electrophysiology and arrhythmias (46 papers) and Atrial Fibrillation Management and Outcomes (31 papers). Jonathan Chrispin is often cited by papers focused on Cardiac Arrhythmias and Treatments (54 papers), Cardiac electrophysiology and arrhythmias (46 papers) and Atrial Fibrillation Management and Outcomes (31 papers). Jonathan Chrispin collaborates with scholars based in United States, Canada and United Kingdom. Jonathan Chrispin's co-authors include Ronald D. Berger, Hugh Calkins, Saman Nazarian, Natalia A. Trayanova, Joseph E. Marine, Adityo Prakosa, Hiroshi Ashikaga, David R. Okada, David Spragg and Harikrishna Tandri and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jonathan Chrispin

103 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Chrispin United States 26 1.5k 337 330 302 206 110 2.0k
Maja Čikeš Croatia 22 1.3k 0.9× 514 1.5× 57 0.2× 133 0.4× 262 1.3× 90 1.9k
Gabriel Pelle France 16 595 0.4× 325 1.0× 204 0.6× 245 0.8× 102 0.5× 41 1.2k
Edward P. Gerstenfeld United States 58 8.9k 6.1× 318 0.9× 349 1.1× 249 0.8× 128 0.6× 228 9.5k
Yanina Zócalo Uruguay 23 1.3k 0.9× 113 0.3× 112 0.3× 352 1.2× 359 1.7× 148 1.7k
Christopher P. Cheng United States 23 686 0.5× 165 0.5× 100 0.3× 870 2.9× 184 0.9× 77 1.6k
Yasuo Okumura Japan 24 2.3k 1.6× 273 0.8× 74 0.2× 126 0.4× 106 0.5× 378 2.7k
Christian Sohns Germany 30 2.4k 1.6× 436 1.3× 49 0.1× 129 0.4× 143 0.7× 193 2.9k
Kjell Nikus Finland 31 2.3k 1.6× 842 2.5× 104 0.3× 147 0.5× 127 0.6× 208 2.7k
P. Sipkema Netherlands 22 1.9k 1.3× 515 1.5× 188 0.6× 361 1.2× 598 2.9× 64 2.5k
Jamal Nasir Khan United Kingdom 23 1.5k 1.0× 982 2.9× 69 0.2× 118 0.4× 94 0.5× 86 2.0k

Countries citing papers authored by Jonathan Chrispin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Chrispin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Chrispin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Chrispin. A scholar is included among the top collaborators of Jonathan Chrispin 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 Jonathan Chrispin. Jonathan Chrispin 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.
Yin, Minglang, Eugene Kholmovski, Dan M. Popescu, et al.. (2025). Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. Nature Cardiovascular Research. 4(7). 891–903. 5 indexed citations
2.
Kolandaivelu, Aravindan, Jiaxin Zhang, G.S. Keene, et al.. (2025). In Vivo Demonstration of Deep Learning-Based Photoacoustic Visual Servoing System. IEEE Transactions on Biomedical Engineering. 73(1). 417–431. 1 indexed citations
3.
Vasquez, Nestor, et al.. (2025). PO-FP-065 CARDIAC SYMPATHECTOMY FOR REFRACTORY VENTRICULAR ARRHYTHMIAS IN LAMIN A/C CARDIOMYOPATHY. Heart Rhythm. 22(4). S107–S108.
4.
Moss, Juwann, Ronald D. Berger, Jonathan Chrispin, et al.. (2024). Lipomatous Metaplasia Is Associated With Ventricular Tachycardia Recurrence Following Ablation in Patients With Nonischemic Cardiomyopathy. JACC. Clinical electrophysiology. 10(6). 1135–1146. 5 indexed citations
5.
Biase, Luigi Di, Jacopo Marazzato, Alejandro Velasco, et al.. (2024). Antithrombotic Therapy for Patients Undergoing Cardiac Electrophysiological and Interventional Procedures. Journal of the American College of Cardiology. 83(1). 82–108. 7 indexed citations
6.
Wang, Weijia, Andreas S. Barth, Ronald D. Berger, et al.. (2023). Inflammatory reaction to TYRX antibacterial envelope mimicking infection. Journal of Cardiovascular Electrophysiology. 34(8). 1755–1757. 2 indexed citations
7.
Sung, Eric, Usama A. Daimee, M. Engels, et al.. (2023). Evaluation of a deep learning‐enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias. The Journal of Physiology. 602(18). 4625–4644. 2 indexed citations
8.
Pavlovic, Noelle, Jan M. Griffin, David R. Okada, et al.. (2022). Cardiac sarcoidosis outcome differences: A comparison of patients with de novo cardiac versus known extracardiac sarcoidosis at presentation. Respiratory Medicine. 198. 106864–106864. 17 indexed citations
9.
10.
Zahid, Sohail, Juwann Moss, Ronald D. Berger, et al.. (2022). Lipomatous metaplasia prolongs repolarization and increases repolarization dispersion within post-infarct ventricular tachycardia circuit cites. EP Europace. 25(2). 496–505. 11 indexed citations
11.
Sung, Eric, Adityo Prakosa, Shijie Zhou, et al.. (2022). Fat infiltration in the infarcted heart as a paradigm for ventricular arrhythmias. Nature Cardiovascular Research. 1(10). 933–945. 37 indexed citations
12.
Salvador, Matteo, Marco Fedele, Pasquale Claudio Africa, et al.. (2021). Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 34 indexed citations
13.
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
14.
Shade, Julie K., Adityo Prakosa, Dan M. Popescu, et al.. (2021). Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier. Science Advances. 7(31). 49 indexed citations
15.
Okada, David R., Jonathan Chrispin, Adityo Prakosa, et al.. (2020). Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy. Circulation Arrhythmia and Electrophysiology. 13(4). e007975–e007975. 33 indexed citations
16.
Carlson, Daniel W., Joseph E. Marine, Charles J. Love, et al.. (2019). Electrocardiographic predictors of pacemaker battery depletion: Diagnostic sensitivity, specificity, and clinical risk. Pacing and Clinical Electrophysiology. 43(1). 2–9. 3 indexed citations
17.
Sinha, Sunil, Bhradeev Sivasambu, Gayane Yenokyan, et al.. (2018). Worldwide pacemaker and defibrillator reuse: Systematic review and meta‐analysis of contemporary trials. Pacing and Clinical Electrophysiology. 41(11). 1500–1507. 14 indexed citations
18.
Sinha, Sunil, Daniel W. Carlson, Jonathan Chrispin, et al.. (2018). The Symptoms and Clinical events associated with Automatic Reprogramming (SCARE) at replacement notification study. Pacing and Clinical Electrophysiology. 41(12). 1611–1618. 7 indexed citations
19.
Sinha, Sunil, Jonathan Chrispin, Andreas S. Barth, et al.. (2017). Clinical recognition of pacemaker battery depletion and automatic reprogramming. Pacing and Clinical Electrophysiology. 40(8). 969–974. 9 indexed citations
20.
Chrispin, Jonathan, Aditya Jain, Elsayed Z. Soliman, et al.. (2014). Association of Electrocardiographic and Imaging Surrogates of Left Ventricular Hypertrophy With Incident Atrial Fibrillation. Journal of the American College of Cardiology. 63(19). 2007–2013. 56 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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