Huda Asfour

1.0k total citations
26 papers, 794 citations indexed

About

Huda Asfour is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Huda Asfour has authored 26 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Huda Asfour's work include Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neural Engineering (6 papers) and Cardiac Arrhythmias and Treatments (5 papers). Huda Asfour is often cited by papers focused on Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neural Engineering (6 papers) and Cardiac Arrhythmias and Treatments (5 papers). Huda Asfour collaborates with scholars based in United States, France and Pakistan. Huda Asfour's co-authors include Narine Sarvazyan, Nenad Bursac, Yanzhen Li, Luther Swift, Matthew W. Kay, Nikki Gillum Posnack, Olivia Chen, Li Wang, Ziqing Liu and Chaoying Yin and has published in prestigious journals such as PLoS ONE, Biomaterials and Circulation Research.

In The Last Decade

Huda Asfour

26 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huda Asfour United States 13 306 258 256 186 121 26 794
Maki Takeda Japan 15 364 1.2× 202 0.8× 172 0.7× 105 0.6× 75 0.6× 35 605
Naimeh Rafatian Canada 14 223 0.7× 246 1.0× 465 1.8× 97 0.5× 143 1.2× 21 726
Brooke J. Damon United States 11 268 0.9× 220 0.9× 236 0.9× 123 0.7× 59 0.5× 19 612
Pablo Hofbauer Austria 8 365 1.2× 260 1.0× 275 1.1× 58 0.3× 108 0.9× 10 636
Christian Börnchen Germany 6 223 0.7× 157 0.6× 143 0.6× 51 0.3× 74 0.6× 6 547
Jan W. Buikema Netherlands 14 521 1.7× 273 1.1× 129 0.5× 165 0.9× 86 0.7× 26 762
Adriana Blazeski United States 13 297 1.0× 281 1.1× 340 1.3× 142 0.8× 133 1.1× 19 642
F. Steven Korte United States 18 822 2.7× 705 2.7× 455 1.8× 721 3.9× 424 3.5× 23 1.7k
Nian Shen Germany 11 158 0.5× 144 0.6× 133 0.5× 38 0.2× 139 1.1× 14 385
Joe Z. Zhang United States 16 638 2.1× 183 0.7× 146 0.6× 325 1.7× 32 0.3× 29 898

Countries citing papers authored by Huda Asfour

Since Specialization
Citations

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

Fields of papers citing papers by Huda Asfour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huda Asfour

This figure shows the co-authorship network connecting the top 25 collaborators of Huda Asfour. A scholar is included among the top collaborators of Huda Asfour 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 Huda Asfour. Huda Asfour 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.
Asfour, Huda, et al.. (2020). Key factors behind autofluorescence changes caused by ablation of cardiac tissue. Scientific Reports. 10(1). 15369–15369. 7 indexed citations
2.
Armstrong, K. C., et al.. (2020). A Percutaneous Catheter for In Vivo Hyperspectral Imaging of Cardiac Tissue: Challenges, Solutions and Future Directions. Cardiovascular Engineering and Technology. 11(5). 560–575. 9 indexed citations
3.
Asfour, Huda, et al.. (2019). Agarose Slurry as a Support Medium for Bioprinting and Culturing Freestanding Cell-Laden Hydrogel Constructs. 3D Printing and Additive Manufacturing. 6(3). 158–164. 63 indexed citations
4.
Asfour, Huda, et al.. (2019). Use of GelMA for 3D printing of Cardiac Myocytes and Fibroblasts. PubMed. 3(1). 11–22. 43 indexed citations
5.
Asfour, Huda, et al.. (2018). Microheterogeneity-induced conduction slowing and wavefront collisions govern macroscopic conduction behavior: A computational and experimental study. PLoS Computational Biology. 14(7). e1006276–e1006276. 12 indexed citations
6.
Asfour, Huda, et al.. (2018). Optimization of wavelength selection for multispectral image acquisition: a case study of atrial ablation lesions. Biomedical Optics Express. 9(5). 2189–2189. 10 indexed citations
7.
Jackman, Christopher P., Asvin M. Ganapathi, Huda Asfour, et al.. (2018). Engineered cardiac tissue patch maintains structural and electrical properties after epicardial implantation. Biomaterials. 159. 48–58. 109 indexed citations
8.
Guan, Shuyue, Huda Asfour, Narine Sarvazyan, & Murray H. Loew. (2018). Application of unsupervised learning to hyperspectral imaging of cardiac ablation lesions. Journal of Medical Imaging. 5(4). 1–1. 6 indexed citations
9.
Swift, Luther, et al.. (2017). Hyperspectral imaging for label-free in vivo identification of myocardial scars and sites of radiofrequency ablation lesions. Heart Rhythm. 15(4). 564–575. 15 indexed citations
10.
Asfour, Huda, et al.. (2017). Anatomical and Optical Properties of Atrial Tissue: Search for a Suitable Animal Model. Cardiovascular Engineering and Technology. 8(4). 505–514. 7 indexed citations
11.
Li, Yanzhen, Huda Asfour, & Nenad Bursac. (2017). Age-dependent functional crosstalk between cardiac fibroblasts and cardiomyocytes in a 3D engineered cardiac tissue. Acta Biomaterialia. 55. 120–130. 72 indexed citations
12.
Swift, Luther, et al.. (2016). Seeing the Invisible: Revealing Atrial Ablation Lesions Using Hyperspectral Imaging Approach. PLoS ONE. 11(12). e0167760–e0167760. 19 indexed citations
13.
Asfour, Huda, et al.. (2016). Comparison between Autofluorescence and Reflectance-Based Hyperspectral Imaging for Visualization of Atrial Ablation Lesions. Biophysical Journal. 110(3). 493a–494a. 1 indexed citations
14.
Posnack, Nikki Gillum, Rafael Jaimes, Huda Asfour, et al.. (2014). Bisphenol A Exposure and Cardiac Electrical Conduction in Excised Rat Hearts. Environmental Health Perspectives. 122(4). 384–390. 65 indexed citations
15.
Wang, Li, Ziqing Liu, Chaoying Yin, et al.. (2014). Stoichiometry of Gata4, Mef2c, and Tbx5 Influences the Efficiency and Quality of Induced Cardiac Myocyte Reprogramming. Circulation Research. 116(2). 237–244. 178 indexed citations
16.
Asfour, Huda, et al.. (2012). NADH Fluorescence Imaging of Isolated Biventricular Working Rabbit Hearts. Journal of Visualized Experiments. 17 indexed citations
17.
Swift, Luther, Huda Asfour, Nikki Gillum Posnack, et al.. (2012). Properties of blebbistatin for cardiac optical mapping and other imaging applications. Pflügers Archiv - European Journal of Physiology. 464(5). 503–512. 64 indexed citations
18.
Mercader, Marco, Luther Swift, Sumit Sood, et al.. (2012). Use of endogenous NADH fluorescence for real-time in situ visualization of epicardial radiofrequency ablation lesions and gaps. American Journal of Physiology-Heart and Circulatory Physiology. 302(10). H2131–H2138. 25 indexed citations
19.
Asfour, Huda, Luther Swift, Narine Sarvazyan, Miloš Doroslovački, & Matthew W. Kay. (2011). Preprocessing of fluoresced transmembrane potential signals for cardiac optical mapping. PubMed. 11. 227–230. 4 indexed citations
20.
Asfour, Huda, Luther Swift, Narine Sarvazyan, Miloš Doroslovački, & Matthew W. Kay. (2011). Signal Decomposition of Transmembrane Voltage-Sensitive Dye Fluorescence Using a Multiresolution Wavelet Analysis. IEEE Transactions on Biomedical Engineering. 58(7). 2083–2093. 22 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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