Philip Chu

2.6k total citations
44 papers, 1.7k citations indexed

About

Philip Chu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philip Chu has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philip Chu's work include Radiation Dose and Imaging (16 papers), Advanced X-ray and CT Imaging (15 papers) and Radiology practices and education (9 papers). Philip Chu is often cited by papers focused on Radiation Dose and Imaging (16 papers), Advanced X-ray and CT Imaging (15 papers) and Radiology practices and education (9 papers). Philip Chu collaborates with scholars based in United States, United Kingdom and Germany. Philip Chu's co-authors include Rebecca Smith‐Bindman, Karla Kerlikowske, Lee Goldman, Edward A. Sickles, Diana L. Miglioretti, Peter Bacchetti, Andrew B. Bindman, Ying Lü, Robert Rosenberg and Dennis Osmond and has published in prestigious journals such as JAMA, JNCI Journal of the National Cancer Institute and Annals of Neurology.

In The Last Decade

Philip Chu

42 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Chu United States 21 508 499 249 244 237 44 1.7k
Sonal Gandhi Canada 28 676 1.3× 561 1.1× 180 0.7× 175 0.7× 81 0.3× 96 1.9k
Danielle Rodin Canada 20 867 1.7× 496 1.0× 413 1.7× 94 0.4× 157 0.7× 109 1.9k
Ingolf Griebsch Germany 16 473 0.9× 546 1.1× 479 1.9× 67 0.3× 271 1.1× 42 2.2k
Benjamin A. Spencer United States 27 1.1k 2.1× 482 1.0× 592 2.4× 353 1.4× 127 0.5× 90 2.3k
Megan R. Haymart United States 33 468 0.9× 767 1.5× 235 0.9× 53 0.2× 368 1.6× 118 4.3k
Adrian Bickerstaffe Australia 14 1.0k 2.1× 304 0.6× 273 1.1× 345 1.4× 111 0.5× 29 1.9k
Michael Luu United States 27 159 0.3× 507 1.0× 399 1.6× 167 0.7× 222 0.9× 118 2.5k
Roy F.P.M. Kruitwagen Netherlands 37 171 0.3× 1.1k 2.3× 385 1.5× 144 0.6× 469 2.0× 178 5.2k
Juhee Song United States 30 236 0.5× 658 1.3× 563 2.3× 74 0.3× 282 1.2× 160 2.8k
Isao Yokota Japan 23 614 1.2× 321 0.6× 380 1.5× 141 0.6× 222 0.9× 218 2.3k

Countries citing papers authored by Philip Chu

Since Specialization
Citations

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

Fields of papers citing papers by Philip Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Chu. A scholar is included among the top collaborators of Philip Chu 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 Philip Chu. Philip Chu 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.
Stewart, Carly, et al.. (2025). Use of diagnostic vs low-dose computed tomography in positron emission tomography-CT examinations. European Radiology. 35(9). 5468–5477. 2 indexed citations
2.
Wang, Yifei, Carly Stewart, Philip Chu, et al.. (2025). Diagnostic reference levels for indication-based CT categories in pediatric CT: data from an international registry. European Radiology. 35(12). 7985–7999.
3.
Smith‐Bindman, Rebecca, Yifei Wang, Carly Stewart, et al.. (2024). Improving the Safety of Computed Tomography Through Automated Quality Measurement. Investigative Radiology. 59(8). 569–576. 3 indexed citations
4.
Chu, Philip, et al.. (2023). Associated radiation exposure from medical imaging and excess lifetime risk of developing cancer in pediatric patients with pulmonary hypertension. Pulmonary Circulation. 13(3). e12282–e12282. 2 indexed citations
5.
Chu, Philip, Brian M. Haas, Choonsik Lee, et al.. (2023). Dose length product to effective dose coefficients in adults. European Radiology. 34(4). 2416–2425. 6 indexed citations
6.
Chu, Philip, Yifei Wang, Carly Stewart, et al.. (2023). Dose length product to effective dose coefficients in children. Pediatric Radiology. 53(8). 1659–1668. 5 indexed citations
7.
Whitebird, Robin R., Leif I. Solberg, Philip Chu, & Rebecca Smith‐Bindman. (2022). Strategies for Dose Optimization: Views From Health Care Systems. Journal of the American College of Radiology. 19(4). 534–541. 7 indexed citations
8.
Chu, Philip, et al.. (2021). Reference phantom selection in pediatric computed tomography using data from a large, multicenter registry. Pediatric Radiology. 52(3). 445–452. 12 indexed citations
9.
Smith‐Bindman, Rebecca, Yifei Wang, Marc Kohli, et al.. (2021). An Image Quality–informed Framework for CT Characterization. Radiology. 302(2). 380–389. 17 indexed citations
10.
Goldman, Lee, et al.. (2012). Federally Qualified Health Centers and Private Practice Performance on Ambulatory Care Measures. American Journal of Preventive Medicine. 43(2). 142–149. 82 indexed citations
11.
McKnight, Tracy R., K. J. Smith, Philip Chu, et al.. (2011). Choline metabolism, proliferation, and angiogenesis in nonenhancing grades 2 and 3 astrocytoma. Journal of Magnetic Resonance Imaging. 33(4). 808–816. 25 indexed citations
12.
Zhao, Qian, Wenjun Li, Caixia Li, et al.. (2010). A statistical method (cross-validation) for bone loss region detection after spaceflight. Australasian Physical & Engineering Sciences in Medicine. 33(2). 163–169. 2 indexed citations
13.
Chu, Philip, et al.. (2009). Positive Predictive Value of Specific Mammographic Findings according to Reader and Patient Variables. Radiology. 250(3). 648–657. 111 indexed citations
14.
Daldrup‐Link, Heike E., Katherine K. Matthay, Robert E. Goldsby, et al.. (2008). Diagnostic value of PET/CT for the staging and restaging of pediatric tumors. European Journal of Nuclear Medicine and Molecular Imaging. 36(1). 23–36. 97 indexed citations
15.
Lü, Ying, Shoujun Zhao, Philip Chu, & Ronald L. Arenson. (2008). An Update Survey of Academic Radiologists' Clinical Productivity. Journal of the American College of Radiology. 5(7). 817–826. 54 indexed citations
16.
Bahl, Manisha, Aliya Qayyum, Antonio C. Westphalen, et al.. (2008). Liver Steatosis: Investigation of Opposed-Phase T1-weighted Liver MR Signal Intensity Loss and Visceral Fat Measurement as Biomarkers. Radiology. 249(1). 160–166. 43 indexed citations
17.
Smith‐Bindman, Rebecca, Philip Chu, Peter Bacchetti, et al.. (2003). Prenatal screening for Down syndrome in England and Wales and population-based birth outcomes. American Journal of Obstetrics and Gynecology. 189(4). 980–985. 19 indexed citations
18.
Smith‐Bindman, Rebecca, et al.. (2003). Adverse Birth Outcomes in Relation to Prenatal Sonographic Measurements of Fetal Size. Journal of Ultrasound in Medicine. 22(4). 347–356. 16 indexed citations
19.
Smith‐Bindman, Rebecca, Philip Chu, Jeffrey L. Ecker, et al.. (2002). US Evaluation of Fetal Growth: Prediction of Neonatal Outcomes. Radiology. 223(1). 153–161. 37 indexed citations
20.

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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