Jorge Sánchez

990 total citations
40 papers, 565 citations indexed

About

Jorge Sánchez is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Jorge Sánchez has authored 40 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Jorge Sánchez's work include Cardiac electrophysiology and arrhythmias (19 papers), Atrial Fibrillation Management and Outcomes (14 papers) and Cardiac Arrhythmias and Treatments (13 papers). Jorge Sánchez is often cited by papers focused on Cardiac electrophysiology and arrhythmias (19 papers), Atrial Fibrillation Management and Outcomes (14 papers) and Cardiac Arrhythmias and Treatments (13 papers). Jorge Sánchez collaborates with scholars based in Germany, Spain and Puerto Rico. Jorge Sánchez's co-authors include Axel Loewe, Olaf Dössel, Javier Sáiz, Gunnar Seemann, Beatriz Trénor, Anton J. Prassl, Elias Karabelas, Christoph M. Augustin, Edward J. Vigmond and Aurel Neic and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biophysical Journal.

In The Last Decade

Jorge Sánchez

35 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Sánchez Germany 12 294 90 77 71 56 40 565
Antonella Balestrieri Italy 15 210 0.7× 176 2.0× 22 0.3× 15 0.2× 74 1.3× 49 798
Dai Hyun Kim South Korea 12 65 0.2× 33 0.4× 24 0.3× 105 1.5× 87 1.6× 57 436
Yui Watanabe Japan 15 111 0.4× 52 0.6× 35 0.5× 8 0.1× 351 6.3× 87 780
Elina Stoffel United States 7 48 0.2× 37 0.4× 33 0.4× 26 0.4× 38 0.7× 9 330
A. C. Armstrong United States 7 140 0.5× 51 0.6× 10 0.1× 44 0.6× 43 0.8× 22 382
Kyung Jin Seo South Korea 14 28 0.1× 94 1.0× 54 0.7× 12 0.2× 183 3.3× 77 656
Catriona Miller United States 14 26 0.1× 90 1.0× 109 1.4× 9 0.1× 155 2.8× 37 708
Rajendra S. Sonawane India 11 47 0.2× 50 0.6× 27 0.4× 62 0.9× 17 0.3× 20 539
Matthew Perez United States 15 46 0.2× 56 0.6× 19 0.2× 25 0.4× 39 0.7× 52 659
Jihoon G. Yoon South Korea 11 42 0.1× 280 3.1× 26 0.3× 5 0.1× 109 1.9× 41 697

Countries citing papers authored by Jorge Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Sánchez. A scholar is included among the top collaborators of Jorge Sánchez 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 Jorge Sánchez. Jorge Sánchez 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.
Sánchez, Jorge, Axel Loewe, Ismael Hernández‐Romero, et al.. (2025). Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins. Computers in Biology and Medicine. 190. 109994–109994.
2.
Sánchez, Jorge, Jean-Baptiste Guichard, Till Althoff, et al.. (2025). DYNAMO Framework: Advancing non-invasive, rapid calibration in cardiac digital twin technology. Computers in Biology and Medicine. 197(Pt B). 110974–110974.
3.
Sánchez, Jorge, et al.. (2024). The right atrium affects in silico arrhythmia vulnerability in both atria. Heart Rhythm. 21(6). 799–805. 3 indexed citations
4.
5.
Azzolin, Luca, Martin Eichenlaub, Claudia Nagel, et al.. (2023). AugmentA: Patient-specific augmented atrial model generation tool. Computerized Medical Imaging and Graphics. 108. 102265–102265. 23 indexed citations
6.
Eichenlaub, Martin, Heiko Lehrmann, Björn Müller‐Edenborn, et al.. (2023). Spatial correlation of left atrial low voltage substrate in sinus rhythm versus atrial fibrillation: The rhythm specificity of atrial low voltage substrate. Journal of Cardiovascular Electrophysiology. 34(8). 1613–1621. 5 indexed citations
7.
Goetz, Christian, Jorge Sánchez, Amir Jadidi, et al.. (2023). Discrepancy Between LGE-MRI and Electro-Anatomical Mapping for Regional Detection of Pathological Atrial Substrate. SHILAP Revista de lepidopterología. 9(1). 483–486. 1 indexed citations
8.
Azzolin, Luca, Martin Eichenlaub, Claudia Nagel, et al.. (2022). Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence. EP Europace. 25(1). 211–222. 43 indexed citations
9.
Sánchez, Jorge, et al.. (2022). Diffusion Reaction Eikonal Alternant Model: Towards Fast Simulations of Complex Cardiac Arrhythmias. Computing in cardiology. 6 indexed citations
10.
Sánchez, Jorge & Axel Loewe. (2022). A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms. Frontiers in Physiology. 13. 908069–908069. 7 indexed citations
11.
Sánchez, Jorge, et al.. (2022). Characterization of the pace-and-drive capacity of the human sinoatrial node: A 3D in silico study. Biophysical Journal. 121(22). 4247–4259. 6 indexed citations
12.
Plank, Gernot, Axel Loewe, Aurel Neic, et al.. (2021). The openCARP simulation environment for cardiac electrophysiology. Computer Methods and Programs in Biomedicine. 208. 106223–106223. 138 indexed citations
13.
Luik, Armin, Amir Jadidi, Jorge Sánchez, et al.. (2021). CVAR-Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution. Frontiers in Physiology. 12. 673047–673047. 7 indexed citations
14.
Sánchez, Jorge, Javier Sáiz, Beatriz Trénor, et al.. (2021). Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset. Frontiers in Physiology. 12. 699291–699291. 20 indexed citations
15.
Sánchez, Jorge, et al.. (2019). Influence of Fibrotic Tissue Arrangement on Intracardiac Electrograms During Persistent Atrial Fibrillation. Computing in Cardiology Conference. 46. 9005752. 5 indexed citations
16.
Pérez‐Castro, Sonia, et al.. (2017). Lifestyle factors and oncogenic papillomavirus infection in a high-risk male population. PLoS ONE. 12(9). e0184492–e0184492. 10 indexed citations
17.
Sánchez, Jorge, et al.. (2009). Epithelioid Sarcoma. Dermatologic Surgery. 35(4). 687–691. 3 indexed citations
18.
Sánchez, Jorge, et al.. (1998). Histopathologic Differentiation Between Localized and Systemic Scleroderma. American Journal of Dermatopathology. 20(3). 242–245. 57 indexed citations
19.
Lugo‐Somolinos, Aída, et al.. (1990). Calcifying panniculitis associated with polycystic kidney disease and chronic renal failure. Journal of the American Academy of Dermatology. 22(5). 743–747. 27 indexed citations
20.
Sánchez, Jorge, et al.. (1990). Rheumatoid neutrophilic dermatitis. Journal of the American Academy of Dermatology. 22(5). 922–925. 37 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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