Christine B. Chung

11.2k total citations
244 papers, 7.6k citations indexed

About

Christine B. Chung is a scholar working on Surgery, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christine B. Chung has authored 244 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Surgery, 71 papers in Orthopedics and Sports Medicine and 70 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christine B. Chung's work include Shoulder Injury and Treatment (57 papers), Advanced MRI Techniques and Applications (55 papers) and Orthopedic Surgery and Rehabilitation (45 papers). Christine B. Chung is often cited by papers focused on Shoulder Injury and Treatment (57 papers), Advanced MRI Techniques and Applications (55 papers) and Orthopedic Surgery and Rehabilitation (45 papers). Christine B. Chung collaborates with scholars based in United States, Brazil and Switzerland. Christine B. Chung's co-authors include Jiang Du, Donald Resnick, Won C. Bae, Eric Y. Chang, Graeme M. Bydder, Sheronda Statum, Atsushi Takahashi, Debra J. Trudell, Jerry R. Dwek and Aurea V. R. Mohana‐Borges and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Development.

In The Last Decade

Christine B. Chung

233 papers receiving 7.4k 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 B. Chung United States 50 4.3k 2.2k 1.8k 1.8k 1.6k 244 7.6k
J. Bruce Kneeland United States 40 2.5k 0.6× 966 0.4× 2.1k 1.1× 1.6k 0.9× 1.3k 0.9× 125 5.5k
Anne Cotten France 51 5.4k 1.2× 1.4k 0.7× 1.7k 0.9× 1.8k 1.0× 730 0.5× 265 8.6k
Lynne S. Steinbach United States 45 3.3k 0.8× 1.2k 0.6× 2.1k 1.1× 500 0.3× 716 0.5× 159 5.7k
Christian Fink Germany 59 4.7k 1.1× 3.4k 1.6× 449 0.2× 4.5k 2.5× 3.4k 2.2× 349 11.6k
Kimberly K. Amrami United States 35 3.1k 0.7× 499 0.2× 1.1k 0.6× 1.9k 1.1× 365 0.2× 274 5.1k
Timothy J. Mosher United States 37 2.5k 0.6× 1.1k 0.5× 3.0k 1.6× 1.0k 0.6× 1.9k 1.2× 83 5.3k
Andrew J. Burghardt United States 45 1.8k 0.4× 4.2k 1.9× 903 0.5× 1.3k 0.7× 1.2k 0.8× 129 7.4k
Werner Jaschke Austria 51 3.6k 0.8× 855 0.4× 474 0.3× 2.9k 1.6× 1.2k 0.8× 329 8.9k
Mario Maas Netherlands 50 2.3k 0.5× 1.9k 0.9× 1.2k 0.6× 1.1k 0.6× 978 0.6× 315 7.7k
Won C. Bae United States 37 1.8k 0.4× 812 0.4× 1.9k 1.0× 863 0.5× 1.2k 0.7× 137 4.1k

Countries citing papers authored by Christine B. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Christine B. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine B. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Christine B. Chung. A scholar is included among the top collaborators of Christine B. Chung 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 B. Chung. Christine B. Chung 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
3.
Mohana‐Borges, Aurea V. R., Ronaldo Mohana‐Borges, Sheronda Statum, et al.. (2024). Neurovascular crossing patterns between leash of Henry and deep branch of radial nerve: implications for neurointervention and diagnostic imaging. Skeletal Radiology. 54(3). 493–507.
4.
Lü, Xing, Yajun Ma, Eric Y. Chang, et al.. (2024). Deep Convolutional Neural Network for Dedicated Regions-of-Interest Based Multi-Parameter Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Knee Joint. Journal of Imaging Informatics in Medicine. 37(5). 2126–2134. 3 indexed citations
5.
Statum, Sheronda, Xiaojun Chen, Kevin Du, et al.. (2024). Evaluation of spine disorders using high contrast imaging of the cartilaginous endplate. Frontiers in Physiology. 15. 1394189–1394189. 2 indexed citations
6.
Jerban, Saeed, Amir Masoud Afsahi, Samuel R. Ward, et al.. (2024). Significant age‐related differences between lower leg muscles of older and younger female subjects detected by ultrashort echo time magnetization transfer modeling. NMR in Biomedicine. 37(12). e5237–e5237.
7.
Scanzello, Carla R., Karen A. Hasty, Christine B. Chung, et al.. (2024). Teaming up to overcome challenges toward translation of new therapeutics for osteoarthritis. Journal of Orthopaedic Research®. 42(12). 2659–2672. 2 indexed citations
8.
Wei, Zhao, Christine B. Chung, Graeme M. Bydder, et al.. (2024). Qualitative and Quantitative MR Imaging of the Cartilaginous Endplate: A Review. Journal of Magnetic Resonance Imaging. 61(4). 1552–1571.
9.
Sneag, Darryl B., Hollis G. Potter, Jan Fritz, et al.. (2023). MRI Advancements in Musculoskeletal Clinical and Research Practice. Radiology. 308(2). e230531–e230531. 22 indexed citations
10.
Ma, Yajun, Hyungseok Jang, Saeed Jerban, et al.. (2022). Making the invisible visible—ultrashort echo time magnetic resonance imaging: Technical developments and applications. Applied Physics Reviews. 9(4). 41303–41303. 29 indexed citations
11.
Miyazaki, Mitsue, Asako Yamamoto, Vadim Malis, et al.. (2022). Time‐Resolved Noncontrast Magnetic Resonance Perfusion Imaging of Paraspinal Muscles. Journal of Magnetic Resonance Imaging. 56(5). 1591–1599. 2 indexed citations
12.
Bae, Won C., et al.. (2018). Fine-Grain Segmentation of the Intervertebral Discs from MR Spine Images Using Deep Convolutional Neural Networks: BSU-Net. Applied Sciences. 8(9). 1656–1656. 41 indexed citations
13.
Bae, Won C., et al.. (2018). Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines. Applied Sciences. 8(9). 1586–1586. 20 indexed citations
14.
Chang, Eric Y., et al.. (2016). Solitary subcutaneous sarcoidosis with massive chronic prepatellar bursal involvement. Skeletal Radiology. 45(12). 1741–1745. 3 indexed citations
15.
Rodríguez‐Soto, Ana E., et al.. (2016). The effect of training on lumbar spine posture and intervertebral disc degeneration in active-duty Marines. Ergonomics. 60(8). 1055–1063. 8 indexed citations
16.
Li, Shihong, Eric Y. Chang, Won C. Bae, et al.. (2013). Ultrashort echo time bi‐component analysis of cortical bone—a field dependence study. Magnetic Resonance in Medicine. 71(3). 1075–1081. 16 indexed citations
17.
Bae, Won C., Reni Biswas, Karen S. Chen, Eric Y. Chang, & Christine B. Chung. (2013). UTE MRI of the Osteochondral Junction. Current Radiology Reports. 2(2). 35–35. 38 indexed citations
18.
Grogan, Shawn P., Chantal Pauli, Peter Chen, et al.. (2012). In Situ Tissue Engineering Using Magnetically Guided Three-Dimensional Cell Patterning. Tissue Engineering Part C Methods. 18(7). 496–506. 28 indexed citations
19.
Bae, Won C., Jerry R. Dwek, R Znamirowski, et al.. (2010). Ultrashort Echo Time MR Imaging of Osteochondral Junction of the Knee at 3 T: Identification of Anatomic Structures Contributing to Signal Intensity. Radiology. 254(3). 837–845. 82 indexed citations
20.
Farid, Nikdokht, et al.. (2008). Miscellaneous conditions of the shoulder: Anatomical, clinical, and pictorial review emphasizing potential pitfalls in imaging diagnosis. European Journal of Radiology. 68(1). 88–105. 7 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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