Daniel Chang

674 total citations
34 papers, 443 citations indexed

About

Daniel Chang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Daniel Chang has authored 34 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Daniel Chang's work include Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers) and Medical Imaging Techniques and Applications (4 papers). Daniel Chang is often cited by papers focused on Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers) and Medical Imaging Techniques and Applications (4 papers). Daniel Chang collaborates with scholars based in United States, Taiwan and China. Daniel Chang's co-authors include Min‐Ying Su, Orhan Nalcioğlu, Ke Nie, Jeon‐Hor Chen, Vincent Nguyen, Vishad Sukul, Leopold Arko, Bong Soo Kim, Muqing Lin and Tzu‐Ching Shih and has published in prestigious journals such as Stroke, Critical Care Medicine and Annals of Oncology.

In The Last Decade

Daniel Chang

30 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Chang United States 11 168 147 144 93 75 34 443
Werner Bader Germany 14 62 0.4× 387 2.6× 50 0.3× 44 0.5× 24 0.3× 57 725
Xiaomeng Lei United States 12 297 1.8× 58 0.4× 199 1.4× 21 0.2× 58 0.8× 44 450
Wayne Brisbane United States 12 232 1.4× 104 0.7× 409 2.8× 28 0.3× 32 0.4× 56 665
Wende N. Gibbs United States 13 107 0.6× 156 1.1× 40 0.3× 45 0.5× 8 0.1× 37 461
Chrisfouad R. Alabiad United States 12 107 0.6× 97 0.7× 23 0.2× 59 0.6× 22 0.3× 33 660
Diana Manolescu Romania 12 63 0.4× 35 0.2× 151 1.0× 17 0.2× 22 0.3× 45 367
Lei Cui China 11 236 1.4× 50 0.3× 89 0.6× 17 0.2× 51 0.7× 27 403
Jithin Yohannan United States 15 465 2.8× 103 0.7× 157 1.1× 53 0.6× 10 0.1× 50 854
T Germanson United States 12 56 0.3× 108 0.7× 152 1.1× 56 0.6× 95 1.3× 13 1.0k
Eduardo J. Mortani Barbosa United States 15 231 1.4× 180 1.2× 263 1.8× 22 0.2× 24 0.3× 35 692

Countries citing papers authored by Daniel Chang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Chang. A scholar is included among the top collaborators of Daniel 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 Daniel Chang. Daniel Chang 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.
Hotz, Justin, Daniel Chang, Robinder G. Khemani, & Christopher J. L. Newth. (2025). Decision Assist During Mechanical Ventilation. Respiratory Care. 71(2). 226–236.
2.
Ito, Yukie, Meryl Vedrenne‐Cloquet, Daniel Chang, et al.. (2025). Differentiating Lung From Chest Wall Mechanics Is Difficult Without Esophageal Manometry in Children With Acute Respiratory Distress Syndrome. Critical Care Medicine. 53(11). e2211–e2221.
3.
Ito, Yukie, Justin Hotz, Daniel Chang, et al.. (2024). Phenotypes based on respiratory drive and effort to identify the risk factors when P0.1 fails to estimate ∆PES in ventilated children. Critical Care. 28(1). 325–325. 1 indexed citations
4.
Tang, Sarah Si Lin, Daniel Chang, Maciej Piotr Chlebicki, et al.. (2023). 163. Can Machine Learning Guide Antibiotic Initiation for Lower Respiratory Tract Infections?. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
5.
Chang, Daniel, Robin Babadjouni, Peyton L. Nisson, et al.. (2021). Transvenous Pressure Monitoring Guides Endovascular Treatment of Vein of Galen Malformation: A Technical Note. Pediatric Neurosurgery. 56(4). 401–406. 2 indexed citations
7.
Vadivelu, Nalini, et al.. (2017). Management of Patients on Abuse-Deterrent Opioids in the Ambulatory Surgery Setting. Current Pain and Headache Reports. 21(2). 10–10. 6 indexed citations
8.
Chang, Daniel, et al.. (2017). Concept of the Ambulatory Pain Physician. Current Pain and Headache Reports. 21(1). 7–7. 6 indexed citations
9.
Vadivelu, Nalini, et al.. (2017). Ketorolac, Oxymorphone, Tapentadol, and Tramadol. Anesthesiology Clinics. 35(2). e1–e20. 26 indexed citations
10.
Arko, Leopold, et al.. (2014). Medical and surgical management of spinal epidural abscess: a systematic review. Neurosurgical FOCUS. 37(2). E4–E4. 119 indexed citations
11.
Chen, Jeon‐Hor, Si‐Wa Chan, Yi‐Jui Liu, et al.. (2012). Consistency of breast density measured from the same women in four different MR scanners. Medical Physics. 39(8). 4886–4895. 8 indexed citations
12.
Lin, Yen‐Yu, Daniel Chang, Daniela A. Bota, et al.. (2012). SU‐E‐J‐108: Quantitative Analysis of Longitudinal Cognitive Impairment Due to Radiation Therapy Based on Automatic Segmentation of Hippocampus and Subcortical Structure. Medical Physics. 39(6Part7). 3677–3677. 1 indexed citations
13.
Chang, Daniel, Jeon‐Hor Chen, Muqing Lin, et al.. (2011). Comparison of breast density measured on MR images acquired using fat‐suppressed versus nonfat‐suppressed sequences. Medical Physics. 38(11). 5961–5968. 27 indexed citations
14.
Chang, Daniel, Thomas Liebig, & Christopher Bangard. (2011). Verschluss einer iatrogenen AV-Fistel und eines A. spuriums am Unterschenkel mittels Amplatzer vascular plug. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 183(4). 394–396. 1 indexed citations
15.
Chen, Jeon‐Hor, Yeun‐Chung Chang, Daniel Chang, et al.. (2010). Reduction of breast density following tamoxifen treatment evaluated by 3-D MRI: preliminary study. Magnetic Resonance Imaging. 29(1). 91–98. 36 indexed citations
16.
Gunapala, Keith M., Daniel Chang, Cynthia T. Hsu, et al.. (2010). Striatal pathology underlies prion infection-mediated hyperactivity in mice. Prion. 4(4). 302–315. 7 indexed citations
17.
Shih, Tzu‐Ching, Jeon‐Hor Chen, Dongxu Liu, et al.. (2010). Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images. Physics in Medicine and Biology. 55(14). 4153–4168. 29 indexed citations
18.
Nie, Ke, et al.. (2009). Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI. Medical Physics. 37(1). 217–226. 25 indexed citations
19.
Lin, Muqing, Jeon‐Hor Chen, Ke Nie, et al.. (2009). Algorithm‐based method for detection of blood vessels in breast MRI for development of computer‐aided diagnosis. Journal of Magnetic Resonance Imaging. 30(4). 817–824. 15 indexed citations
20.
Amado, Rafael G., Melissa M. Wolf, Daniel Freeman, et al.. (2008). Association of KRAS mutational status and efficacy of panitumumab monotherapy for the treatment (tx) of metastatic colorectal cancer (mCRC): results of pooled data from 4 clinical studies.. Annals of Oncology. 19(8). 126–126. 5 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

Rankless by CCL
2026