Eric Y. Chang

9.8k total citations · 1 hit paper
325 papers, 6.6k citations indexed

About

Eric Y. Chang is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Eric Y. Chang has authored 325 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Surgery, 118 papers in Radiology, Nuclear Medicine and Imaging and 69 papers in Rheumatology. Recurrent topics in Eric Y. Chang's work include Advanced MRI Techniques and Applications (94 papers), Shoulder Injury and Treatment (44 papers) and Osteoarthritis Treatment and Mechanisms (41 papers). Eric Y. Chang is often cited by papers focused on Advanced MRI Techniques and Applications (94 papers), Shoulder Injury and Treatment (44 papers) and Osteoarthritis Treatment and Mechanisms (41 papers). Eric Y. Chang collaborates with scholars based in United States, China and Spain. Eric Y. Chang's co-authors include Jiang Du, Yajun Ma, Christine B. Chung, Saeed Jerban, Hyungseok Jang, Weg M. Ongkeko, Wei Tse Li, Michael Carl, Paul E. Di Cesare and Won C. Bae and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Eric Y. Chang

305 papers receiving 6.5k 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.

Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status

2021 427 citations Eric Y. Chang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Y. Chang United States	40	2.3k	2.1k	1.3k	1.1k	1.0k	325	6.6k
Viviane De Maertelaer Belgium	48	1.9k 0.8×	1.3k 0.6×	780 0.6×	628 0.6×	189 0.2×	203	8.4k
Edward C. Jones Canada	43	3.4k 1.5×	725 0.4×	804 0.6×	650 0.6×	1.8k 1.7×	134	7.3k
Michael Uder Germany	52	1.9k 0.8×	6.1k 3.0×	680 0.5×	2.8k 2.6×	495 0.5×	640	12.3k
Dominik Weishaupt Switzerland	50	5.2k 2.3×	1.8k 0.9×	625 0.5×	1.0k 1.0×	1.1k 1.0×	195	8.9k
Luca Maria Sconfienza Italy	47	4.3k 1.9×	1.7k 0.8×	1.6k 1.3×	1.1k 1.0×	776 0.7×	355	8.2k
S. Ted Treves United States	47	2.4k 1.1×	2.9k 1.4×	274 0.2×	604 0.6×	423 0.4×	364	8.1k
Herbert Y. Kressel United States	33	2.0k 0.9×	1.8k 0.9×	284 0.2×	485 0.5×	542 0.5×	141	7.1k
Michael Brant‐Zawadzki United States	51	2.5k 1.1×	2.6k 1.3×	187 0.1×	778 0.7×	486 0.5×	207	9.2k
Michael K. O’Connor United States	50	1.3k 0.6×	2.9k 1.4×	1.1k 0.8×	873 0.8×	171 0.2×	209	7.8k
Massimo Midiri Italy	43	2.0k 0.9×	2.9k 1.4×	304 0.2×	1.2k 1.1×	314 0.3×	375	8.5k

Countries citing papers authored by Eric Y. Chang

Since Specialization

Citations

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

Fields of papers citing papers by Eric Y. Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Y. Chang. 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 Eric Y. Chang. The network helps show where Eric Y. Chang may publish in the future.

Co-authorship network of co-authors of Eric Y. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Y. Chang. A scholar is included among the top collaborators of Eric Y. Chang 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 Eric Y. Chang. Eric Y. Chang 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

Chang, Eric Y., et al.. (2025). Early Detection of Post‐Traumatic Heterotopic Ossification in Bleeding Disorders Using Ultrasound. Journal of Ultrasound in Medicine.

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

Lombardi, Alecio F., et al.. (2024). Quantitative ultrashort echo time MR imaging of knee osteochondral junction: An ex vivo feasibility study. NMR in Biomedicine. 37(12). e5253–e5253. 1 indexed citations

Lombardi, Alecio F., et al.. (2024). Infrapatellar fat pad size and subcutaneous fat in knee osteoarthritis radiographic progression: data from the osteoarthritis initiative. Arthritis Research & Therapy. 26(1). 145–145. 3 indexed citations

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.

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.

Jerban, Saeed, et al.. (2023). Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment. Diagnostics. 13(5). 956–956. 10 indexed citations

Subhas, Naveen, Fangbai Wu, Michael G. Fox, et al.. (2023). ACR Appropriateness Criteria® Chronic Extremity Joint Pain-Suspected Inflammatory Arthritis, Crystalline Arthritis, or Erosive Osteoarthritis: 2022 Update. Journal of the American College of Radiology. 20(5). S20–S32. 5 indexed citations

Wan, Lidi, Adam C. Searleman, Yajun Ma, et al.. (2023). The effect of cartilage dehydration and rehydration on quantitative ultrashort echo time biomarkers. Quantitative Imaging in Medicine and Surgery. 13(10). 6942–6951. 1 indexed citations

10.

Veena, Mysore S., et al.. (2023). Acidification of intracellular pH in MM tumor cells overcomes resistance to hypoxia-mediated apoptosis in vitro and in vivo. Frontiers in Oncology. 13. 1268421–1268421. 3 indexed citations

11.

Ma, Yajun, Hyungseok Jang, Zhao Wei, et al.. (2020). Myelin Imaging in Human Brain Using a Short Repetition Time Adiabatic Inversion Recovery Prepared Ultrashort Echo Time (STAIR-UTE) MRI Sequence in Multiple Sclerosis. Radiology. 297(2). 392–404. 37 indexed citations

12.

Chang, Eric Y., et al.. (2020). Catheter directed embolectomy of right atrial clot in transit‐A case series. Catheterization and Cardiovascular Interventions. 97(5). 869–873. 14 indexed citations

13.

Lü, Xing, et al.. (2020). ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports.. CLEF (Working Notes). 1 indexed citations

14.

Duncan, David, et al.. (2019). Characterization of intramuscular calf vein thrombosis on routine knee MRI. Skeletal Radiology. 48(10). 1573–1580. 6 indexed citations

15.

Lü, Xing, Yajun Ma, Eric Y. Chang, et al.. (2018). Simultaneous quantitative susceptibility mapping (QSM) and for high iron concentration quantification with 3D ultrashort echo time sequences: An echo dependence study. Magnetic Resonance in Medicine. 79(4). 2315–2322. 25 indexed citations

16.

Lü, Xing, et al.. (2018). Advanced magnetic resonance imaging of the osteochondral components in hemophilic joints reveals cartilage hemosiderin and correlations with clinical joint scores. Haemophilia. 24. 61–61.

17.

Ma, Yajun, Yanchun Zhu, Xing Lü, et al.. (2017). Short T₂ imaging using a 3D double adiabatic inversion recovery prepared ultrashort echo time cones (3D DIR‐UTE‐Cones) sequence. Magnetic Resonance in Medicine. 79(5). 2555–2563. 58 indexed citations

18.

He, Qun, Shujuan Fan, Michael Carl, et al.. (2016). Imaging and quantification of iron‐oxide nanoparticles (IONP) using MP‐RAGE and UTE based sequences. Magnetic Resonance in Medicine. 78(1). 226–232. 18 indexed citations

19.

Chang, Eric Y., et al.. (2014). In Vivo MR Microneurography of the Tibial and Common Peroneal Nerves. Radiology Research and Practice. 2014. 1–6. 10 indexed citations

20.

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

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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