Jason Pellman

524 total citations
9 papers, 387 citations indexed

About

Jason Pellman is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Jason Pellman has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Jason Pellman's work include Cardiac electrophysiology and arrhythmias (5 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiomyopathy and Myosin Studies (3 papers). Jason Pellman is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Cardiovascular Effects of Exercise (5 papers) and Cardiomyopathy and Myosin Studies (3 papers). Jason Pellman collaborates with scholars based in United States, Sweden and United Kingdom. Jason Pellman's co-authors include Farah Sheikh, Jing Zhang, Robert C. Lyon, Valeria Mezzano, Yan Liang, Stephan Lange, Kirk L. Peterson, Angeliki Asimaki, Nancy D. Dalton and Mong‐Hong Lee and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and The FASEB Journal.

In The Last Decade

Jason Pellman

9 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Pellman United States 6 299 117 57 33 28 9 387
J. Zhu United States 2 191 0.6× 158 1.4× 58 1.0× 33 1.0× 39 1.4× 4 376
Marina López‐Olañeta Spain 10 218 0.7× 275 2.4× 73 1.3× 46 1.4× 13 0.5× 19 461
Neel K. Kapasi United States 4 172 0.6× 148 1.3× 140 2.5× 28 0.8× 30 1.1× 6 371
Lorraine Schofield United States 10 254 0.8× 188 1.6× 53 0.9× 24 0.7× 74 2.6× 22 386
Lorna R. Fiedler United Kingdom 9 94 0.3× 145 1.2× 24 0.4× 32 1.0× 33 1.2× 18 310
Zhaoyi Tang United States 3 184 0.6× 155 1.3× 115 2.0× 17 0.5× 9 0.3× 5 330
Katharina Klett Germany 5 118 0.4× 179 1.5× 83 1.5× 61 1.8× 20 0.7× 7 305
Noémi Pávó Austria 10 136 0.5× 89 0.8× 158 2.8× 22 0.7× 42 1.5× 11 339
Wolfram‐H. Zimmermann Germany 7 198 0.7× 285 2.4× 53 0.9× 76 2.3× 11 0.4× 8 389
Luis Hortells United States 10 143 0.5× 180 1.5× 86 1.5× 28 0.8× 9 0.3× 15 389

Countries citing papers authored by Jason Pellman

Since Specialization
Citations

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

Fields of papers citing papers by Jason Pellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Pellman

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Pellman. A scholar is included among the top collaborators of Jason Pellman 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 Jason Pellman. Jason Pellman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Liang, Yan, Robert C. Lyon, Jason Pellman, et al.. (2021). Desmosomal COP9 regulates proteome degradation in arrhythmogenic right ventricular dysplasia/cardiomyopathy. Journal of Clinical Investigation. 131(11). 17 indexed citations
2.
Wang, Jie, Jason Pellman, Robert C. Lyon, et al.. (2021). SNAP29 Restricts Cardiac Arrhythmias by Insulating A Subset of Desmosomal Proteins and Connexin43 from Autophagic Degradation. The FASEB Journal. 35(S1). 1 indexed citations
3.
Liang, Yan, Robert C. Lyon, Jason Pellman, et al.. (2019). Discovery of Protein Degradation Machinery at the Desmosome Reveals Novel Triggers of the Desmosomal Disease, Arrhythmogenic Right Ventricular Cardiomyopathy. The FASEB Journal. 33(S1). 1 indexed citations
4.
Liang, Yan, Robert C. Lyon, Jason Pellman, et al.. (2016). Abstract 20108: A Newly Identified Interaction Between Desmoplakin and COP9 Signalsome Subunit 6 Reveals a New Mechanism Underlying Sudden Death. Circulation. 134. 1 indexed citations
5.
Pellman, Jason, Jing Zhang, & Farah Sheikh. (2016). Myocyte-fibroblast communication in cardiac fibrosis and arrhythmias: Mechanisms and model systems. Journal of Molecular and Cellular Cardiology. 94. 22–31. 131 indexed citations
6.
Pellman, Jason & Farah Sheikh. (2015). Atrial Fibrillation: Mechanisms, Therapeutics, and Future Directions. Comprehensive physiology. 5(2). 649–665. 99 indexed citations
7.
Pellman, Jason & Farah Sheikh. (2015). Atrial Fibrillation: Mechanisms, Therapeutics, and Future Directions. Comprehensive physiology. 5(2). 649–665. 12 indexed citations
8.
Mezzano, Valeria, Jason Pellman, & Farah Sheikh. (2014). Cell Junctions in the Specialized Conduction System of the Heart. Cell Communication & Adhesion. 21(3). 149–159. 15 indexed citations
9.
Pellman, Jason, Robert C. Lyon, & Farah Sheikh. (2009). Extracellular matrix remodeling in atrial fibrosis: Mechanisms and implications in atrial fibrillation. Journal of Molecular and Cellular Cardiology. 48(3). 461–467. 110 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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