Francisco Contijoch

925 total citations
54 papers, 478 citations indexed

About

Francisco Contijoch is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Francisco Contijoch has authored 54 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 33 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Epidemiology. Recurrent topics in Francisco Contijoch's work include Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (21 papers) and Cardiovascular Function and Risk Factors (20 papers). Francisco Contijoch is often cited by papers focused on Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (21 papers) and Cardiovascular Function and Risk Factors (20 papers). Francisco Contijoch collaborates with scholars based in United States, Germany and Canada. Francisco Contijoch's co-authors include Walter R. Witschey, Robert C. Gorman, Elliot R. McVeigh, Joseph H. Gorman, Jeremy R. McGarvey, James J. Pilla, Melissa M. Levack, Yuchi Han, Hannah Carter and Marcus Y. Chen and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and European Heart Journal.

In The Last Decade

Francisco Contijoch

53 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Contijoch United States 13 297 288 113 107 62 54 478
Alexander Gotschy Switzerland 13 350 1.2× 316 1.1× 99 0.9× 65 0.6× 46 0.7× 49 583
Steve Liao United States 9 227 0.8× 262 0.9× 132 1.2× 74 0.7× 53 0.9× 19 467
Smita Sampath United States 13 487 1.6× 511 1.8× 114 1.0× 125 1.2× 57 0.9× 46 732
Daniel W. Groves United States 9 137 0.5× 246 0.9× 77 0.7× 101 0.9× 51 0.8× 23 369
Daniel Bloomgarden United States 8 233 0.8× 283 1.0× 56 0.5× 71 0.7× 31 0.5× 19 436
Cameron J. Holloway Australia 10 363 1.2× 246 0.9× 88 0.8× 17 0.2× 77 1.2× 14 510
Jordin D. Green United States 15 325 1.1× 649 2.3× 89 0.8× 50 0.5× 34 0.5× 22 749
Oliver K. Mohrs Germany 15 274 0.9× 451 1.6× 143 1.3× 94 0.9× 68 1.1× 37 651
Daniela Föll Germany 13 467 1.6× 353 1.2× 85 0.8× 46 0.4× 75 1.2× 26 590
Tadanori Hirano Japan 9 269 0.9× 559 1.9× 149 1.3× 108 1.0× 20 0.3× 22 656

Countries citing papers authored by Francisco Contijoch

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Contijoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Contijoch

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Contijoch. A scholar is included among the top collaborators of Francisco Contijoch 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 Francisco Contijoch. Francisco Contijoch 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
2.
Contijoch, Francisco, et al.. (2023). Myocardial Regional Shortening from 4D Cardiac CT Angiography for the Detection of Left Ventricular Segmental Wall Motion Abnormality. Radiology Cardiothoracic Imaging. 5(2). e220134–e220134. 1 indexed citations
3.
Hasenstab, Kyle, Nick H. Kim, Michael M. Madani, et al.. (2023). Mapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT. Radiology Cardiothoracic Imaging. 5(4). e220221–e220221. 3 indexed citations
5.
Pack, Jed D., Sathish Ramani, Bernhard E. H. Claus, et al.. (2022). Four‐dimensional computed tomography of the left ventricle, Part I: Motion artifact reduction. Medical Physics. 49(7). 4404–4418. 8 indexed citations
6.
Li, Hui, et al.. (2022). Deep learning automates detection of wall motion abnormalities via measurement of longitudinal strain from ECG-gated CT images. Frontiers in Cardiovascular Medicine. 9. 1009445–1009445. 1 indexed citations
7.
Vigneault, Davis M., et al.. (2021). M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration. Lecture notes in computer science. 12738. 242–252. 1 indexed citations
8.
Rodríguez‐Soto, Ana E., Morgan Meads, Valentina Stanley, et al.. (2021). Evidence of maternal vascular malperfusion in placentas of women with congenital heart disease. Placenta. 117. 209–212. 4 indexed citations
9.
Kim, Paul, et al.. (2020). Pre-LVAD CT-Derived Measures of RV Size and Function May Be Strong Identifiers of Right Ventricular Failure. The Journal of Heart and Lung Transplantation. 39(4). S342–S342. 1 indexed citations
10.
Contijoch, Francisco, Yuchi Han, Srikant Kamesh Iyer, et al.. (2020). Closed-loop control of k-space sampling via physiologic feedback for cine MRI. PLoS ONE. 15(12). e0244286–e0244286. 2 indexed citations
11.
Hsiao, Albert, et al.. (2020). Quantification of CTEPH Disease Burden on CT Angiogram Correlates with Patient Presurgical Hemodynamic Severity and Hemodynamic Improvement after PTE Surgery. The Journal of Heart and Lung Transplantation. 39(4). S170–S171. 1 indexed citations
12.
McVeigh, Elliot R., et al.. (2019). Novel measurement of LV twist using 4DCT: quantifying accuracy as a function of image noise. 54–54. 1 indexed citations
13.
Contijoch, Francisco, Hannah Carter, Chun Chieh Fan, et al.. (2019). Using a genetic risk score to calculate the optimal age for an individual to undergo coronary artery calcium screening. Journal of cardiovascular computed tomography. 13(4). 203–210. 21 indexed citations
15.
McVeigh, Elliot R., Amir Pourmorteza, Michael A. Guttman, et al.. (2018). Regional myocardial strain measurements from 4DCT in patients with normal LV function. Journal of cardiovascular computed tomography. 12(5). 372–378. 28 indexed citations
16.
Contijoch, Francisco, Kelly C. Rogers, Mohammed Shahid, et al.. (2016). Quantification of Left Ventricular Function With Premature Ventricular Complexes Reveals Variable Hemodynamics. Circulation Arrhythmia and Electrophysiology. 9(4). e003520–e003520. 15 indexed citations
17.
Witschey, Walter R., Francisco Contijoch, Jeremy R. McGarvey, et al.. (2015). The Influence of Mitral Annuloplasty on Left Ventricular Flow Dynamics. The Annals of Thoracic Surgery. 100(1). 114–121. 30 indexed citations
18.
Witschey, Walter R., Francisco Contijoch, Jeremy R. McGarvey, et al.. (2014). Real-Time Magnetic Resonance Imaging Technique for Determining Left Ventricle Pressure-Volume Loops. The Annals of Thoracic Surgery. 97(5). 1597–1603. 15 indexed citations
19.
Witschey, Walter R., Alison M. Pouch, Jeremy R. McGarvey, et al.. (2014). Three-Dimensional Ultrasound-Derived Physical Mitral Valve Modeling. The Annals of Thoracic Surgery. 98(2). 691–694. 53 indexed citations
20.
Contijoch, Francisco, Jennifer M. Lynch, David D. Pokrajac, Andrew D. A. Maidment, & Predrag R. Bakić. (2012). Shape analysis of simulated breast anatomical structures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 83134J–83134J. 6 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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