Chieh‐Ju Chao

942 total citations
50 papers, 506 citations indexed

About

Chieh‐Ju Chao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chieh‐Ju Chao has authored 50 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chieh‐Ju Chao's work include Cardiac Valve Diseases and Treatments (17 papers), Cardiovascular Function and Risk Factors (16 papers) and Cardiac Imaging and Diagnostics (12 papers). Chieh‐Ju Chao is often cited by papers focused on Cardiac Valve Diseases and Treatments (17 papers), Cardiovascular Function and Risk Factors (16 papers) and Cardiac Imaging and Diagnostics (12 papers). Chieh‐Ju Chao collaborates with scholars based in United States, Taiwan and Canada. Chieh‐Ju Chao's co-authors include Tasneem Z. Naqvi, Michael B. Gotway, Dawn E. Jaroszewski, Reza Arsanjani, Juan Farina, Imon Banerjee, Christopher P. Appleton, Farouk Mookadam, Timothy Barry and Jiwoong Jeong and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Chieh‐Ju Chao

39 papers receiving 498 citations

Peers

Chieh‐Ju Chao
Sandra Cornelissen Netherlands
Sangwoo Park South Korea
Rebecca Preston United Kingdom
Steven P. Braff United States
Francesca N. Delling United States
Chieh‐Ju Chao
Citations per year, relative to Chieh‐Ju Chao Chieh‐Ju Chao (= 1×) peers Sae‐Yeon Won

Countries citing papers authored by Chieh‐Ju Chao

Since Specialization
Citations

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

Fields of papers citing papers by Chieh‐Ju Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh‐Ju Chao. 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 Chieh‐Ju Chao. The network helps show where Chieh‐Ju Chao may publish in the future.

Co-authorship network of co-authors of Chieh‐Ju Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Chieh‐Ju Chao. A scholar is included among the top collaborators of Chieh‐Ju Chao 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 Chieh‐Ju Chao. Chieh‐Ju Chao 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.
Mahmoudi, Elham, Chieh‐Ju Chao, Bardia Khosravi, et al.. (2025). A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis. Journal of the American Medical Informatics Association. 32(7). 1120–1129. 2 indexed citations
2.
Hsu, Chien‐Yi, Fa‐Po Chung, Chieh‐Ju Chao, et al.. (2024). Efficacy of Sacubitril-Valsartan on Survival and Cardiac Remodeling in Hypotensive Heart Failure With Reduced Ejection Fraction: A Multicenter Study. Mayo Clinic Proceedings. 99(6). 940–952. 2 indexed citations
3.
Chiang, Chia‐Chun, Gina Dumkrieger, Chieh‐Ju Chao, et al.. (2024). A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache The Journal of Head and Face Pain. 64(4). 400–409. 18 indexed citations
4.
Scalia, Isabel G., Juan Farina, Robert L. Scott, et al.. (2024). Cardiac Allograft Vasculopathy: Challenges and Advances in Invasive and Non-Invasive Diagnostic Modalities. Journal of Cardiovascular Development and Disease. 11(3). 95–95. 2 indexed citations
5.
Farina, Juan, Isabel G. Scalia, Timothy Barry, et al.. (2024). Role of Genetics in Diagnosis and Management of Hypertrophic Cardiomyopathy: A Glimpse into the Future. Biomedicines. 12(3). 682–682. 11 indexed citations
6.
Farina, Juan, Michael Megaly, Chieh‐Ju Chao, et al.. (2024). Impact of moderate or severe mitral and tricuspid valves regurgitation after transcatheter aortic valve replacement. American Heart Journal. 280. 79–88. 2 indexed citations
7.
Chao, Chieh‐Ju, Jiwoong Jeong, Reza Arsanjani, et al.. (2023). Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy. JACC. Cardiovascular imaging. 17(4). 349–360. 18 indexed citations
8.
Farina, Juan, Isabel G. Scalia, Chieh‐Ju Chao, et al.. (2023). Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. Journal of Imaging. 9(11). 236–236. 12 indexed citations
9.
Farina, Juan, Isabel G. Scalia, Timothy Barry, et al.. (2023). Current Management and Future Directions for Pulmonary Arterial Hypertension Associated with Congenital Heart Disease. Journal of Personalized Medicine. 14(1). 5–5.
10.
Farina, Juan, et al.. (2023). Percutaneous transcatheter pulmonary and tricuspid valve replacements in a patient with carcinoid heart disease. European Heart Journal - Case Reports. 7(11). ytad511–ytad511. 1 indexed citations
11.
Farina, Juan, Chieh‐Ju Chao, Michael C. Roarke, et al.. (2023). Role of lipoprotein(a) concentrations in bioprosthetic aortic valve degeneration. Heart. 110(4). 299–305. 5 indexed citations
12.
Scalia, Isabel G., Juan Farina, Ratnasari Padang, et al.. (2023). Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment—A Review of Clinical Utility and Applications. Journal of Imaging. 9(11). 250–250. 7 indexed citations
13.
Farina, Juan, et al.. (2023). Current Management and Future Perspectives in the Treatment of Lp(a) with a Focus on the Prevention of Cardiovascular Diseases. Pharmaceuticals. 16(7). 919–919. 5 indexed citations
14.
Arsanjani, Reza, Pradyumna Agasthi, Panwen Wang, et al.. (2022). A New Insight Into Nonbacterial Thrombotic Endocarditis: A Systematic Review of Cases. The Anatolian Journal of Cardiology. 26(10). 743–749. 13 indexed citations
15.
Hsu, Chien‐Yi, Hung‐Yu Chang, Chieh‐Ju Chao, et al.. (2022). Utility of PREDICT-HF score in high-risk Asian heart failure patients receiving sacubitril/valsartan. Frontiers in Cardiovascular Medicine. 9. 950389–950389. 6 indexed citations
16.
Naqvi, Tasneem Z. & Chieh‐Ju Chao. (2021). Adverse effects of right ventricular pacing on cardiac function: prevalence, prevention and treatment with physiologic pacing. Trends in Cardiovascular Medicine. 33(2). 109–122. 28 indexed citations
17.
Chao, Chieh‐Ju, et al.. (2021). Baseline thrombocytopenia in acute coronary syndrome: The lower, the worse. International Journal of Cardiology. 332. 1–7. 3 indexed citations
18.
Agasthi, Pradyumna, Chieh‐Ju Chao, Panwen Wang, Eric H. Yang, & Reza Arsanjani. (2021). National Cardiovascular Data Registry Model Predicts Long-Term Mortality in Patients Undergoing Percutaneous Coronary Interventions. Cardiology. 146(3). 311–314.
19.
Chao, Chieh‐Ju & F. David Fortuin. (2019). Dynamic Kinking of Left Internal Mammary Artery Graft. SHILAP Revista de lepidopterología. 1(3). 431–432. 2 indexed citations
20.
Peter, Angela K., William H. Bradford, Nancy D. Dalton, et al.. (2016). Increased Echogenicity and Radiodense Foci on Echocardiogram and MicroCT in Murine Myocarditis. PLoS ONE. 11(8). e0159971–e0159971. 2 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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