Azra Alizad

3.9k total citations
150 papers, 2.1k citations indexed

About

Azra Alizad is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Azra Alizad has authored 150 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Radiology, Nuclear Medicine and Imaging, 91 papers in Biomedical Engineering and 31 papers in Mechanics of Materials. Recurrent topics in Azra Alizad's work include Ultrasound Imaging and Elastography (105 papers), Photoacoustic and Ultrasonic Imaging (63 papers) and Ultrasound and Hyperthermia Applications (50 papers). Azra Alizad is often cited by papers focused on Ultrasound Imaging and Elastography (105 papers), Photoacoustic and Ultrasonic Imaging (63 papers) and Ultrasound and Hyperthermia Applications (50 papers). Azra Alizad collaborates with scholars based in United States, China and Italy. Azra Alizad's co-authors include Mostafa Fatemi, James F. Greenleaf, Mahdi Bayat, Adriana Gregory, Lester E. Wold, Matthew W. Urban, Max Denis, Viksit Kumar, Dana H. Whaley and Jeremy Webb and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Azra Alizad

139 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azra Alizad United States 27 1.5k 1.2k 456 220 165 150 2.1k
S. Kaisar Alam United States 20 1.9k 1.3× 1.6k 1.4× 764 1.7× 196 0.9× 149 0.9× 55 2.4k
Jonathan Mamou United States 23 1.4k 0.9× 1.2k 1.0× 463 1.0× 203 0.9× 80 0.5× 179 2.2k
Benjamín Castañeda Peru 21 1.0k 0.7× 862 0.7× 377 0.8× 154 0.7× 114 0.7× 125 1.7k
Kenneth Hoyt United States 32 1.7k 1.1× 2.2k 1.8× 381 0.8× 73 0.3× 183 1.1× 178 3.1k
Tsuyoshi Shiina Japan 30 2.7k 1.8× 2.5k 2.1× 960 2.1× 222 1.0× 456 2.8× 190 4.1k
Claire Pellot‐Barakat France 14 1.5k 1.0× 761 0.6× 180 0.4× 90 0.4× 322 2.0× 43 1.9k
Eriko Tohno Japan 21 1.6k 1.1× 994 0.8× 346 0.8× 440 2.0× 437 2.6× 85 3.0k
Ernest J. Feleppa United States 28 2.5k 1.7× 2.0k 1.7× 831 1.8× 426 1.9× 202 1.2× 135 3.5k
Baoming Luo China 28 1.0k 0.7× 803 0.7× 164 0.4× 266 1.2× 373 2.3× 92 2.2k
Yang Xiao China 21 1.0k 0.7× 694 0.6× 181 0.4× 501 2.3× 116 0.7× 102 2.0k

Countries citing papers authored by Azra Alizad

Since Specialization
Citations

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

Fields of papers citing papers by Azra Alizad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azra Alizad

This figure shows the co-authorship network connecting the top 25 collaborators of Azra Alizad. A scholar is included among the top collaborators of Azra Alizad 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 Azra Alizad. Azra Alizad 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.
Larson, Nicholas B., Judy C. Boughey, Daniela Stan, et al.. (2025). Ultrasound-based quantitative microvasculature imaging for early prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Breast Cancer Research. 27(1). 24–24.
2.
3.
Alizad, Azra, et al.. (2024). Signal detrending in elastographic wave data with large motion artifacts through a 2D Whittaker smoother. The Journal of the Acoustical Society of America. 155(3_Supplement). A246–A246.
4.
Fatemi, Mostafa, et al.. (2024). Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning. Scientific Reports. 14(1). 26161–26161. 2 indexed citations
5.
6.
7.
Basem, Ali, et al.. (2024). A molecular dynamics study of the external heat flux effect on the atomic and thermal behavior of the silica aerogel/ paraffin /CuO nanostructure. International Communications in Heat and Mass Transfer. 158. 107902–107902. 3 indexed citations
8.
9.
Larson, Nicholas B., et al.. (2023). Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study. Frontiers in Oncology. 13. 1121664–1121664. 7 indexed citations
10.
11.
Fatemi, Mostafa, et al.. (2023). Custom-made flow phantoms for quantitative ultrasound microvessel imaging. Ultrasonics. 134. 107092–107092. 7 indexed citations
12.
Scalise, Lorenzo, Jodi M. Carter, Robert T. Fazzio, et al.. (2023). Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach. Breast Cancer Research. 25(1). 65–65. 7 indexed citations
13.
Suri, Jasjit S., Sushant Agarwal, Suneet Gupta, et al.. (2021). Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics. 25(11). 4128–4139. 33 indexed citations
14.
Kumar, Viksit, et al.. (2020). C-Elastography: In Vitro Feasibility Phantom Study. Ultrasound in Medicine & Biology. 46(7). 1738–1754. 1 indexed citations
15.
Wang, Qingmin, Ying Zhu, Meng Shao, et al.. (2019). In vivo assessment of the mechanical properties of crystalline lenses in a rabbit model using ultrasound elastography: Effects of ultrasound frequency and age. Experimental Eye Research. 184. 258–265. 13 indexed citations
16.
Zhao, Chong‐Ke, Shigao Chen, Azra Alizad, et al.. (2018). Three‐Dimensional Shear Wave Elastography for Differentiating Benign From Malignant Thyroid Nodules. Journal of Ultrasound in Medicine. 37(7). 1777–1788. 29 indexed citations
17.
Denis, Max, Adriana Gregory, Mahdi Bayat, et al.. (2016). Correlating Tumor Stiffness with Immunohistochemical Subtypes of Breast Cancers: Prognostic Value of Comb-Push Ultrasound Shear Elastography for Differentiating Luminal Subtypes. PLoS ONE. 11(10). e0165003–e0165003. 41 indexed citations
18.
Alizad, Azra, Matthew W. Urban, Randall R. Kinnick, James F. Greenleaf, & Mostafa Fatemi. (2010). Applications of low-frequency vibration in assessment of biological tissues. 3617–3624. 1 indexed citations
19.
Alizad, Azra, Mostafa Fatemi, Dana H. Whaley, & James F. Greenleaf. (2004). Application of Vibro-acoustography for Detection of Calcified Arteries in Breast Tissue. Journal of Ultrasound in Medicine. 23(2). 267–273. 27 indexed citations
20.
Alizad, Azra & James B. Seward. (2000). Echocardiographic Features of Genetic Diseases: Part 3. Shunts. Journal of the American Society of Echocardiography. 13(3). 248–253. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by S. Kaisar Alam Breakdown of academic impact, for papers by Jonathan Mamou Breakdown of academic impact, for papers by Benjamín Castañeda Breakdown of academic impact, for papers by Kenneth Hoyt Breakdown of academic impact, for papers by Tsuyoshi Shiina Breakdown of academic impact, for papers by Claire Pellot‐Barakat Breakdown of academic impact, for papers by Eriko Tohno Breakdown of academic impact, for papers by Ernest J. Feleppa Breakdown of academic impact, for papers by Baoming Luo Breakdown of academic impact, for papers by Yang Xiao
Rankless by CCL
2026