Juan Ignacio Cotella

418 total citations
17 papers, 144 citations indexed

About

Juan Ignacio Cotella is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Juan Ignacio Cotella has authored 17 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Juan Ignacio Cotella's work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Juan Ignacio Cotella is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Juan Ignacio Cotella collaborates with scholars based in United States, Argentina and Colombia. Juan Ignacio Cotella's co-authors include Roberto M. Lang, Adrián Baranchuk, Clara Saldarriaga, Victor Mor‐Avi, Juan Farina, Gonzalo Pérez, Karima Addetia, Cristiane Carvalho Singulane, Jeremy Slivnick and Ricardo López Santi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Juan Ignacio Cotella

12 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Ignacio Cotella United States 7 67 36 29 25 25 17 144
Zeeshan Sattar United States 9 25 0.4× 7 0.2× 27 0.9× 17 0.7× 21 0.8× 24 161
Ana García‐Álvarez Spain 7 139 2.1× 15 0.4× 18 0.6× 133 5.3× 37 1.5× 14 204
Carsten Krueger Canada 6 130 1.9× 45 1.3× 22 0.8× 19 0.8× 28 1.1× 12 213
Caroline Claude France 6 78 1.2× 9 0.3× 14 0.5× 92 3.7× 11 0.4× 9 163
Kris Vernelen Belgium 8 76 1.1× 8 0.2× 24 0.8× 24 1.0× 76 3.0× 15 252
Lorna Clark Canada 11 141 2.1× 50 1.4× 35 1.2× 25 1.0× 13 0.5× 20 234
Giulia Bordin Italy 8 63 0.9× 7 0.2× 3 0.1× 63 2.5× 9 0.4× 10 118
G Cellarier France 8 136 2.0× 3 0.1× 11 0.4× 26 1.0× 16 0.6× 37 242
Ruimin Dong China 10 134 2.0× 74 2.1× 7 0.2× 25 1.0× 8 0.3× 25 269

Countries citing papers authored by Juan Ignacio Cotella

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ignacio Cotella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Ignacio Cotella. 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 Juan Ignacio Cotella. The network helps show where Juan Ignacio Cotella may publish in the future.

Co-authorship network of co-authors of Juan Ignacio Cotella

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

All Works

17 of 17 papers shown
1.
Thomsen, Brian, Ingrid Reiser, Juan Ignacio Cotella, et al.. (2025). Coronary computed tomography angiography without ECG leads; A feasibility study. Current Problems in Diagnostic Radiology.
2.
Cotella, Juan Ignacio, Karima Addetia, Tatsuya Miyoshi, et al.. (2024). Optimización de la interpretación de ecocardiogramas utilizando machine learning en el estudio WASE. 92(1). 5–14.
3.
Cotella, Juan Ignacio, Alexandra Clément, Michele Tomaselli, et al.. (2024). Three-Dimensional Transthoracic Echocardiography for Semiautomated Analysis of the Tricuspid Annulus: Validation and Normal Values. Journal of the American Society of Echocardiography. 38(1). 33–43.e3. 2 indexed citations
4.
Slivnick, Jeremy, Nils Gessert, Juan Ignacio Cotella, et al.. (2024). Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers. Journal of the American Society of Echocardiography. 37(7). 655–663. 8 indexed citations
5.
Mor‐Avi, Victor, Bijoy K. Khandheria, Robert Klempfner, et al.. (2023). Real-Time Artificial Intelligence–Based Guidance of Echocardiographic Imaging by Novices: Image Quality and Suitability for Diagnostic Interpretation and Quantitative Analysis. Circulation Cardiovascular Imaging. 16(11). e015569–e015569. 35 indexed citations
6.
Singulane, Cristiane Carvalho, et al.. (2023). How Often Does Apical Sparing of Longitudinal Strain Indicate the Presence of Cardiac Amyloidosis?. The American Journal of Cardiology. 202. 12–16. 13 indexed citations
7.
Cotella, Juan Ignacio, et al.. (2023). Semiautomated Quantification of the Tricuspid Annulus Using Three-Dimensional Echocardiography. Journal of the American Society of Echocardiography. 36(11). 1215–1217. 1 indexed citations
8.
Slivnick, Jeremy, Amita Singh, Juan Ignacio Cotella, et al.. (2023). Noninvasive assessment of left ventricular end-diastolic pressure using machine learning–derived phasic left atrial strain. European Heart Journal - Cardiovascular Imaging. 25(1). 18–26. 7 indexed citations
9.
Cotella, Juan Ignacio, Jeremy Slivnick, Emily Sanderson, et al.. (2023). Artificial intelligence based left ventricular ejection fraction and global longitudinal strain in cardiac amyloidosis. Echocardiography. 40(3). 188–195. 14 indexed citations
10.
Lang, Roberto M., Victor Mor‐Avi, Juan Ignacio Cotella, et al.. (2023). NOVEL ARTIFICIAL INTELLIGENCE GUIDANCE ALGORITHM ENABLES ACQUISITION BY NOVICES OF DIAGNOSTIC QUALITY ECHOCARDIOGRAPHIC IMAGES. Journal of the American College of Cardiology. 81(8). 1401–1401. 1 indexed citations
11.
Cotella, Juan Ignacio, et al.. (2022). Massive Left Atrial Calcification in Late Rheumatic Heart Disease. CASE. 6(5). 209–211.
12.
Cotella, Juan Ignacio, et al.. (2022). Abnormal Longitudinal Strain Reduction of Basal Left Ventricular Segments in Patients Recovered of COVID-19. Journal of Cardiovascular Echography. 32(2). 107–111. 4 indexed citations
13.
Cotella, Juan Ignacio, et al.. (2022). Extensive pulmonary venous stenoses as a complication of radiofrequency catheter ablation for atrial fibrillation. SHILAP Revista de lepidopterología. 17(11). 4299–4301.
14.
Cotella, Juan Ignacio, Megan Yamat, M.P. Henry, Karima Addetia, & Roberto M. Lang. (2022). Clinical Utility of Transillumination on Transthoracic Imaging. CASE. 6(9). 394–399. 1 indexed citations
15.
Henry, M.P., Juan Ignacio Cotella, Jeremy Slivnick, et al.. (2022). Three-Dimensional Echocardiographic Deconstruction: Feasibility of Clinical Evaluation from Two-Dimensional Views Derived from a Three-Dimensional Data Set. Journal of the American Society of Echocardiography. 35(10). 1009–1017.e2. 6 indexed citations
16.
Cotella, Juan Ignacio, Clara Saldarriaga, Gonzalo Pérez, et al.. (2021). Chikungunya and the Heart. Cardiology. 146(3). 324–334. 22 indexed citations
17.
Pérez, Gonzalo, Lucrecia María Burgos, Juan Farina, et al.. (2020). Toxoplasmosis and the Heart. Current Problems in Cardiology. 46(3). 100741–100741. 30 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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