Christine P. Hendon

1.4k total citations
75 papers, 970 citations indexed

About

Christine P. Hendon is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Christine P. Hendon has authored 75 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Biomedical Engineering, 24 papers in Surgery and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Christine P. Hendon's work include Optical Coherence Tomography Applications (50 papers), Photoacoustic and Ultrasonic Imaging (23 papers) and Coronary Interventions and Diagnostics (19 papers). Christine P. Hendon is often cited by papers focused on Optical Coherence Tomography Applications (50 papers), Photoacoustic and Ultrasonic Imaging (23 papers) and Coronary Interventions and Diagnostics (19 papers). Christine P. Hendon collaborates with scholars based in United States, United Kingdom and France. Christine P. Hendon's co-authors include Yu Gan, Xinwen Yao, Charles C. Marboe, Kristin M. Myers, Yao Wang, Joy Vink, Ronald J. Wapner, Rajinder P. Singh‐Moon, Hanina Hibshoosh and Xingchen Ji and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biophysical Journal.

In The Last Decade

Christine P. Hendon

70 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine P. Hendon United States 17 548 217 201 126 124 75 970
Vijay Rajagopal Australia 19 301 0.5× 216 1.0× 127 0.6× 46 0.4× 76 0.6× 82 959
Beop-Min Kim South Korea 21 567 1.0× 301 1.4× 102 0.5× 59 0.5× 189 1.5× 59 1.1k
Nader A. Nassif United States 19 1.6k 2.9× 847 3.9× 498 2.5× 55 0.4× 539 4.3× 42 2.4k
D.A. Christopher Canada 9 892 1.6× 741 3.4× 113 0.6× 88 0.7× 37 0.3× 13 1.3k
Xinwen Yao United States 20 499 0.9× 530 2.4× 84 0.4× 230 1.8× 88 0.7× 65 1.2k
Odile Jolivet France 17 119 0.2× 372 1.7× 218 1.1× 22 0.2× 59 0.5× 39 1.1k
Michalina J. Gora France 20 1.0k 1.9× 500 2.3× 369 1.8× 64 0.5× 233 1.9× 46 1.6k
Woo June Choi South Korea 20 873 1.6× 376 1.7× 92 0.5× 92 0.7× 221 1.8× 84 1.2k
Tanja von Braunmühl Germany 14 653 1.2× 416 1.9× 85 0.4× 18 0.1× 191 1.5× 36 1.3k
Chieh‐Li Chen United States 14 624 1.1× 914 4.2× 100 0.5× 69 0.5× 76 0.6× 43 1.6k

Countries citing papers authored by Christine P. Hendon

Since Specialization
Citations

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

Fields of papers citing papers by Christine P. Hendon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine P. Hendon. 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 Christine P. Hendon. The network helps show where Christine P. Hendon may publish in the future.

Co-authorship network of co-authors of Christine P. Hendon

This figure shows the co-authorship network connecting the top 25 collaborators of Christine P. Hendon. A scholar is included among the top collaborators of Christine P. Hendon 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 Christine P. Hendon. Christine P. Hendon 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.
Shi, Lei, et al.. (2025). Equilibrium mechanical properties of the human uterus in tension and compression. Acta Biomaterialia. 194. 219–232. 1 indexed citations
2.
Myers, Kristin M., et al.. (2025). Hyperspectral Imaging of Uterine Fibroids. Journal of Biophotonics. 18(5). e202400499–e202400499.
3.
Hendon, Christine P., et al.. (2025). Optical coherence tomography–enabled classification of the human venoatrial junction. Journal of Biomedical Optics. 30(1). 16005–16005.
4.
Cheng, Danyang, et al.. (2025). Near‐Infrared Spectroscopic Mapping of the Human Epicardium. Journal of Biophotonics. 18(3). e202400464–e202400464.
5.
Yarmohammadi, Hirad, Angelo Biviano, Jessica A. Hennessey, et al.. (2024). Optimized isochronal late activation methods in the visualization and isthmus identification of ventricular tachycardia. Heart Rhythm. 22(5). 1238–1248. 1 indexed citations
6.
Jia, Zhenhong, et al.. (2024). Predictive coding compressive sensing optical coherence tomography hardware implementation. Biomedical Optics Express. 15(11). 6606–6606. 1 indexed citations
7.
Gan, Yu, et al.. (2023). Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE Journal of Biomedical and Health Informatics. 27(6). 2932–2943. 4 indexed citations
8.
Strimbu, C. Elliott, et al.. (2023). Compressed sensing on displacement signals measured with optical coherence tomography. Biomedical Optics Express. 14(11). 5539–5539. 2 indexed citations
9.
Bareja, Rohan, et al.. (2022). Classifying breast cancer in ultrahigh-resolution optical coherence tomography images using convolutional neural networks. Applied Optics. 61(15). 4458–4458. 9 indexed citations
10.
McLean, James P. & Christine P. Hendon. (2021). 3-D compressed sensing optical coherence tomography using predictive coding. Biomedical Optics Express. 12(4). 2531–2531. 8 indexed citations
11.
Park, Soo Young, et al.. (2021). Quantification of irrigated lesion morphology using near-infrared spectroscopy. Scientific Reports. 11(1). 20160–20160. 3 indexed citations
12.
McLean, James P., et al.. (2020). Three-dimensional collagen fiber mapping and tractography of human uterine tissue using OCT. Biomedical Optics Express. 11(10). 5518–5518. 14 indexed citations
13.
Marboe, Charles C., et al.. (2019). Imaging of subendocardial adipose tissue and fiber orientation distributions in the human left atrium using optical coherence tomography. Journal of Cardiovascular Electrophysiology. 30(12). 2950–2959. 8 indexed citations
14.
McLean, James P., et al.. (2019). High-speed collagen fiber modeling and orientation quantification for optical coherence tomography imaging. Optics Express. 27(10). 14457–14457. 16 indexed citations
15.
Ha, Richard, Peter Chang, Yu Gan, et al.. (2019). Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method. Academic Radiology. 27(5). e81–e86. 31 indexed citations
16.
Iyer, Vivek, et al.. (2019). Mapping the human pulmonary venoatrial junction with optical coherence tomography. Biomedical Optics Express. 10(2). 434–434. 11 indexed citations
17.
Strimbu, C. Elliott, et al.. (2018). Adapting a commercial spectral domain optical coherence tomography system for time-locked displacement and physiological measurements. AIP conference proceedings. 1965. 80004–80004. 10 indexed citations
18.
Singh‐Moon, Rajinder P., Xinwen Yao, Charles C. Marboe, & Christine P. Hendon. (2016). Optical spectroscopy facilitated characterization of acute atrial lesions. JTu3A.39–JTu3A.39. 2 indexed citations
19.
Gan, Yu, Yao Wang, Kristin M. Myers, et al.. (2015). Analyzing three-dimensional ultrastructure of human cervical tissue using optical coherence tomography. Biomedical Optics Express. 6(4). 1090–1090. 49 indexed citations
20.
Myers, Kristin M., Christine P. Hendon, Yu Gan, et al.. (2015). A continuous fiber distribution material model for human cervical tissue. Journal of Biomechanics. 48(9). 1533–1540. 46 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 Vijay Rajagopal Breakdown of academic impact, for papers by Beop-Min Kim Breakdown of academic impact, for papers by Nader A. Nassif Breakdown of academic impact, for papers by D.A. Christopher Breakdown of academic impact, for papers by Xinwen Yao Breakdown of academic impact, for papers by Odile Jolivet Breakdown of academic impact, for papers by Michalina J. Gora Breakdown of academic impact, for papers by Woo June Choi Breakdown of academic impact, for papers by Tanja von Braunmühl Breakdown of academic impact, for papers by Chieh‐Li Chen
Rankless by CCL
2026