Carolina Amador

898 total citations
48 papers, 708 citations indexed

About

Carolina Amador is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Carolina Amador has authored 48 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Biomedical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Carolina Amador's work include Ultrasound Imaging and Elastography (40 papers), Ultrasound and Hyperthermia Applications (35 papers) and Photoacoustic and Ultrasonic Imaging (14 papers). Carolina Amador is often cited by papers focused on Ultrasound Imaging and Elastography (40 papers), Ultrasound and Hyperthermia Applications (35 papers) and Photoacoustic and Ultrasonic Imaging (14 papers). Carolina Amador collaborates with scholars based in United States, Poland and Portugal. Carolina Amador's co-authors include Matthew W. Urban, Shigao Chen, James F. Greenleaf, Sara Aristizabal, Randall R. Kinnick, James F. Greenleaf, Lizette Warner, Lilach O. Lerman, Bo Qiang and Kevin J. Glaser and has published in prestigious journals such as Gastroenterology, Journal of the American Society of Nephrology and The Journal of the Acoustical Society of America.

In The Last Decade

Carolina Amador

47 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Amador United States 16 555 512 221 88 66 48 708
Seshadri Srinivasan United States 12 657 1.2× 609 1.2× 266 1.2× 46 0.5× 106 1.6× 14 873
J. F. Greenleaf United States 11 582 1.0× 562 1.1× 256 1.2× 35 0.4× 47 0.7× 31 772
Brian Fahey United States 11 609 1.1× 542 1.1× 226 1.0× 45 0.5× 45 0.7× 20 726
Joshua R. Doherty United States 8 328 0.6× 293 0.6× 126 0.6× 51 0.6× 72 1.1× 12 430
Hairong Shi United States 12 554 1.0× 473 0.9× 154 0.7× 143 1.6× 170 2.6× 16 719
Cédric Schmitt Canada 13 458 0.8× 436 0.9× 140 0.6× 113 1.3× 169 2.6× 31 669
Udomchai Techavipoo United States 14 676 1.2× 602 1.2× 258 1.2× 39 0.4× 35 0.5× 39 782
Maritza A. Hobson United States 13 455 0.8× 495 1.0× 156 0.7× 83 0.9× 14 0.2× 22 658
Douglas M. Dumont United States 16 722 1.3× 605 1.2× 291 1.3× 126 1.4× 201 3.0× 43 918
Bo Qiang United States 16 531 1.0× 475 0.9× 230 1.0× 27 0.3× 31 0.5× 37 679

Countries citing papers authored by Carolina Amador

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Amador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Amador

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Amador. A scholar is included among the top collaborators of Carolina Amador 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 Carolina Amador. Carolina Amador 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.
Weeks, Jake, Michael P. André, Eduardo Grunvald, et al.. (2024). Quantitative Liver Fat Assessment by Handheld Point-of-Care Ultrasound: A Technical Implementation and Pilot Study in Adults. Ultrasound in Medicine & Biology. 51(3). 475–483.
2.
Kijanka, Piotr, Joseph P. Grande, Carolina Amador, et al.. (2024). Kidney cortex shear wave motion simulations based on segmented biopsy histology. Computer Methods and Programs in Biomedicine. 245. 108035–108035. 2 indexed citations
3.
4.
Chen, Melinda, Qian Li, Lei Chen, et al.. (2020). Renal Volume Estimation Using Freehand Ultrasound Scans: An Ex Vivo Demonstration. Ultrasound in Medicine & Biology. 46(7). 1769–1782. 9 indexed citations
5.
Amador, Carolina, et al.. (2020). 2-D Ultrasound Shear Wave Elastography With Multi-Sphere-Source External Mechanical Vibration: Preliminary Phantom Results. Ultrasound in Medicine & Biology. 46(9). 2505–2519. 4 indexed citations
6.
Kijanka, Piotr, Bo Qiang, Pengfei Song, et al.. (2018). Robust Phase Velocity Dispersion Estimation of Viscoelastic Materials Used for Medical Applications Based on the Multiple Signal Classification Method. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(3). 423–439. 32 indexed citations
7.
Cardote, Teresa A.F., Joana F. B. Barata, Carolina Amador, et al.. (2018). Evaluation of meso-substituted cationic corroles as potential antibacterial agents. Anais da Academia Brasileira de Ciências. 90(1 suppl 2). 1175–1185. 19 indexed citations
8.
Amador, Carolina, Shigao Chen, Matthew W. Urban, & James F. Greenleaf. (2017). Acoustic Radiation Force-Induced Creep–Recovery (ARFICR): A Noninvasive Method to Characterize Tissue Viscoelasticity. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(1). 3–13. 17 indexed citations
9.
10.
Amador, Carolina, Sara Aristizabal, James F. Greenleaf, & Matthew W. Urban. (2016). Phase Aberration and Attenuation Effects on Acoustic Radiation Force-Based Shear Wave Generation. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(2). 222–232. 15 indexed citations
11.
Nabavizadeh, Alireza, Randall R. Kinnick, Mahdi Bayat, et al.. (2016). Automated Compression Device for Viscoelasticity Imaging. IEEE Transactions on Biomedical Engineering. 64(7). 1535–1546. 15 indexed citations
12.
Amador, Carolina, Pengfei Song, Duane D. Meixner, Shigao Chen, & Matthew W. Urban. (2016). Improvement of Shear Wave Motion Detection Using Harmonic Imaging in Healthy Human Liver. Ultrasound in Medicine & Biology. 42(5). 1031–1041. 18 indexed citations
13.
Maksuti, Elira, et al.. (2016). Shear Wave Elastography Quantifies Stiffness in Ex Vivo Porcine Artery with Stiffened Arterial Region. Ultrasound in Medicine & Biology. 42(10). 2423–2435. 47 indexed citations
14.
Aristizabal, Sara, Carolina Amador, Bo Qiang, et al.. (2014). Shear wave vibrometry evaluation in transverse isotropic tissue mimicking phantoms and skeletal muscle. Physics in Medicine and Biology. 59(24). 7735–7752. 32 indexed citations
15.
16.
Bharucha, Adil E., et al.. (2013). 462 Increased Rectal Stiffness in Women With Urge-Predominant Fecal Incontinence. Gastroenterology. 144(5). S–82. 1 indexed citations
17.
Amador, Carolina, Matthew W. Urban, Shigao Chen, & James F. Greenleaf. (2012). Loss tangent and complex modulus estimated by acoustic radiation force creep and shear wave dispersion. Physics in Medicine and Biology. 57(5). 1263–1282. 42 indexed citations
18.
Amador, Carolina, Matthew W. Urban, Shigao Chen, & James F. Greenleaf. (2012). Complex shear modulus quantification from acoustic radiation force creep-recovery and shear wave propagation. 54. 1850–1853. 4 indexed citations
19.
Warner, Lizette, Meng Yin, Kevin J. Glaser, et al.. (2011). Noninvasive In Vivo Assessment of Renal Tissue Elasticity During Graded Renal Ischemia Using MR Elastography. Investigative Radiology. 46(8). 509–514. 115 indexed citations
20.

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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Rankless by CCL
2026