Ahmed El Kaffas

2.9k total citations · 1 hit paper
54 papers, 2.0k citations indexed

About

Ahmed El Kaffas is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Ahmed El Kaffas has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 32 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Epidemiology. Recurrent topics in Ahmed El Kaffas's work include Ultrasound and Hyperthermia Applications (29 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and Ultrasound Imaging and Elastography (14 papers). Ahmed El Kaffas is often cited by papers focused on Ultrasound and Hyperthermia Applications (29 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and Ultrasound Imaging and Elastography (14 papers). Ahmed El Kaffas collaborates with scholars based in United States, Canada and China. Ahmed El Kaffas's co-authors include Jürgen K. Willmann, Rosa Sigrist, Joy Liau, Maria Cristina Chammas, Gregory J. Czarnota, Anoja Giles, Aya Kamaya, William T. Tran, Aman Khurana and Azza Al‐Mahrouki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ahmed El Kaffas

47 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultrasound Elastography: Review of Techniques and Clinical Applications

2017 1.2k citations Rosa Sigrist, Joy Liau et al. Theranostics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahmed El Kaffas United States	17	964	886	416	269	262	54	2.0k
Maria Cristina Chammas Brazil	14	557 0.6×	661 0.7×	320 0.8×	209 0.8×	384 1.5×	30	1.7k
Rosa Sigrist Brazil	10	591 0.6×	644 0.7×	289 0.7×	135 0.5×	287 1.1×	35	1.4k
Andrej Lyshchik United States	30	979 1.0×	1.4k 1.5×	632 1.5×	740 2.8×	760 2.9×	109	3.1k
F. Tranquart France	24	887 0.9×	763 0.9×	286 0.7×	288 1.1×	343 1.3×	114	2.2k
Manish Dhyani United States	17	396 0.4×	519 0.6×	602 1.4×	323 1.2×	241 0.9×	35	1.4k
Zhibiao Wang China	21	1.0k 1.1×	530 0.6×	160 0.4×	304 1.1×	318 1.2×	46	1.9k
S. Lori Bridal France	22	1.0k 1.1×	880 1.0×	91 0.2×	102 0.4×	180 0.7×	84	1.7k
Eriko Tohno Japan	21	994 1.0×	1.6k 1.8×	249 0.6×	289 1.1×	437 1.7×	85	3.0k
Wladyslaw Gedroyc United Kingdom	29	1.0k 1.1×	705 0.8×	137 0.3×	140 0.5×	637 2.4×	83	2.7k
John R. Eisenbrey United States	30	1.8k 1.9×	1.0k 1.2×	336 0.8×	474 1.8×	423 1.6×	171	2.9k

Countries citing papers authored by Ahmed El Kaffas

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed El Kaffas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed El Kaffas. 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 Ahmed El Kaffas. The network helps show where Ahmed El Kaffas may publish in the future.

Co-authorship network of co-authors of Ahmed El Kaffas

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

All Works

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20 of 20 papers shown

Tabesh, Farbod, et al.. (2025). Molecular Ultrasound Imaging of PD-L1 Expression on Cancer Endothelial Cells. Ultrasound in Medicine & Biology. 51(10). 1675–1681.

Kaffas, Ahmed El, et al.. (2024). Development of a Deep Learning Model for Classification of Hepatic Steatosis from Clinical Standard Ultrasound. Ultrasound in Medicine & Biology. 51(2). 242–249. 2 indexed citations

Baek, Jihye, Ahmed El Kaffas, Aya Kamaya, Kenneth Hoyt, & Kevin J. Parker. (2024). Multiparametric quantification and visualization of liver fat using ultrasound. SHILAP Revista de lepidopterología. 2(1). 100045–100045. 2 indexed citations

Wang, Huaijun, Ahmed El Kaffas, Terry S. Desser, et al.. (2023). In Vivo Ultrasound Molecular Imaging in the Evaluation of Complex Ovarian Masses: A Practical Guide to Correlation with Ex Vivo Immunohistochemistry. Advanced Biology. 7(8). e2300091–e2300091. 1 indexed citations

Sharma, Deepa, et al.. (2023). Evaluating the effects of radiation and acoustically-stimulated microbubble therapy in an in vivo breast cancer model. PLoS ONE. 18(5). e0277759–e0277759. 6 indexed citations

Zhou, Jianhua, et al.. (2023). Charachterization of spatially mapped volumetric molecular ultrasound signals for predicting response to anti-vascular therapy. Scientific Reports. 13(1). 1686–1686. 2 indexed citations

Turco, Simona, Thodsawit Tiyarattanachai, John R. Eisenbrey, et al.. (2022). Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(5). 1670–1681. 29 indexed citations

Sanabria, Sergio J., et al.. (2022). Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis. Ultrasound in Medicine & Biology. 48(10). 2060–2078. 12 indexed citations

Hristov, Dimitre, et al.. (2022). Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 41(12). 3824–3834.

10.

Kaffas, Ahmed El, et al.. (2020). Contrast-enhanced ultrasound imaging for assessing organ perfusion in rainbow trout (Oncorhynchus mykiss). The Science of The Total Environment. 750. 141231–141231. 3 indexed citations

11.

Sigrist, Rosa, et al.. (2019). Quantitative Ultrasound Spectroscopy for Differentiation of Hepatocellular Carcinoma from At-Risk and Normal Liver Parenchyma. Clinical Cancer Research. 25(22). 6683–6691. 4 indexed citations

12.

Akhbardeh, Alireza, Hersh Sagreiya, Ahmed El Kaffas, Jürgen K. Willmann, & Daniel L. Rubin. (2018). A multi‐model framework to estimate perfusion parameters using contrast‐enhanced ultrasound imaging. Medical Physics. 46(2). 590–600. 5 indexed citations

13.

Kaffas, Ahmed El, Rosa Sigrist, George A. Fisher, et al.. (2017). Quantitative Three-Dimensional Dynamic Contrast-Enhanced Ultrasound Imaging: First-In-Human Pilot Study in Patients with Liver Metastases. Theranostics. 7(15). 3745–3758. 35 indexed citations

14.

Sigrist, Rosa, Joy Liau, Ahmed El Kaffas, Maria Cristina Chammas, & Jürgen K. Willmann. (2017). Ultrasound Elastography: Review of Techniques and Clinical Applications. Theranostics. 7(5). 1303–1329. 1227 indexed citations breakdown →

15.

Sigrist, Rosa, Ahmed El Kaffas, R. Brooke Jeffrey, Jarrett Rosenberg, & Jürgen K. Willmann. (2017). Intra-Individual Comparison between 2-D Shear Wave Elastography (GE System) and Virtual Touch Tissue Quantification (Siemens System) in Grading Liver Fibrosis. Ultrasound in Medicine & Biology. 43(12). 2774–2782. 15 indexed citations

16.

Tran, William T., Charmaine Childs, Lee M. Chin, et al.. (2016). Multiparametric Monitoring of Chemotherapy Treatment Response in Locally Advanced Breast Cancer Using Quantitative Ultrasound and Diffuse Optical Spectroscopy. Journal of medical imaging and radiation sciences. 47(1). S4–S5.

17.

Tran, William T., Charmaine Childs, Lee Chin, et al.. (2016). Multiparametric monitoring of chemotherapy treatment response in locally advanced breast cancer using quantitative ultrasound and diffuse optical spectroscopy. Oncotarget. 7(15). 19762–19780. 10 indexed citations

18.

Kaffas, Ahmed El & Gregory J. Czarnota. (2015). Biomechanical Effects of Microbubbles: From Radiosensitization to Cell Death. Future Oncology. 11(7). 1093–1108. 26 indexed citations

19.

Tran, William T., et al.. (2013). A review of vascular disrupting agents as a concomitant anti-tumour modality with radiation. Journal of Radiotherapy in Practice. 12(3). 255–262. 3 indexed citations

20.

Kaffas, Ahmed El, Azza Al‐Mahrouki, William T. Tran, Anoja Giles, & Gregory J. Czarnota. (2013). Sunitinib effects on the radiation response of endothelial and breast tumor cells. Microvascular Research. 92. 1–9. 17 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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