James C.H. Chu

2.1k total citations · 1 hit paper
101 papers, 1.6k citations indexed

About

James C.H. Chu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James C.H. Chu has authored 101 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiation, 48 papers in Radiology, Nuclear Medicine and Imaging and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James C.H. Chu's work include Advanced Radiotherapy Techniques (67 papers), Radiation Therapy and Dosimetry (27 papers) and Radiation Dose and Imaging (18 papers). James C.H. Chu is often cited by papers focused on Advanced Radiotherapy Techniques (67 papers), Radiation Therapy and Dosimetry (27 papers) and Radiation Dose and Imaging (18 papers). James C.H. Chu collaborates with scholars based in United States, Taiwan and Australia. James C.H. Chu's co-authors include Gerald E. Hanks, Cam Nguyen, Edward Soffen, Michael C. Kirk, J Turian, Wen C. Hsi, X. Allen Li, Lawrence J. Solin, Adam Dickler and Vikas Saxena and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and International Journal of Cancer.

In The Last Decade

James C.H. Chu

98 papers receiving 1.5k citations

Hit Papers

Interventions reducing affective polarization do not nece... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James C.H. Chu United States 23 972 642 591 374 229 101 1.6k
Mohamed A. Elshaikh United States 30 847 0.9× 577 0.9× 1.6k 2.7× 218 0.6× 484 2.1× 170 3.4k
Tanja Alderliesten Netherlands 23 705 0.7× 582 0.9× 570 1.0× 382 1.0× 330 1.4× 137 1.7k
R. Jena United Kingdom 30 660 0.7× 1.2k 1.9× 613 1.0× 319 0.9× 222 1.0× 109 2.6k
Jan J. Battermann Netherlands 27 1.1k 1.1× 512 0.8× 1.5k 2.6× 94 0.3× 460 2.0× 58 2.4k
M. Wannenmacher Germany 31 949 1.0× 914 1.4× 1.5k 2.5× 309 0.8× 666 2.9× 151 3.2k
Mark Bonnen United States 16 512 0.5× 491 0.8× 722 1.2× 84 0.2× 569 2.5× 45 1.7k
Kurt Baier Germany 35 2.9k 3.0× 2.1k 3.3× 2.2k 3.7× 209 0.6× 446 1.9× 75 3.9k
Sua Yoo United States 28 1.8k 1.9× 1.5k 2.4× 1.1k 1.8× 288 0.8× 246 1.1× 84 2.3k
Alan McWilliam United Kingdom 21 718 0.7× 898 1.4× 807 1.4× 65 0.2× 144 0.6× 124 1.7k
Francesco Ricchetti Italy 27 1.4k 1.5× 911 1.4× 1.4k 2.4× 169 0.5× 354 1.5× 113 2.4k

Countries citing papers authored by James C.H. Chu

Since Specialization
Citations

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

Fields of papers citing papers by James C.H. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James C.H. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of James C.H. Chu. A scholar is included among the top collaborators of James C.H. 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 James C.H. Chu. James C.H. 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.
Voelkel, Jan G., et al.. (2025). Megastudy testing 25 treatments to reduce antidemocratic attitudes and partisan animosity. SSRN Electronic Journal.
2.
Pranzini, Enzo, et al.. (2023). Assessing common downdrift control point and asymmetric double-curvature planform behind multiple detached breakwaters: Simple empirical method. Coastal Engineering. 185. 104361–104361. 1 indexed citations
3.
Voelkel, Jan G., James C.H. Chu, Michael N. Stagnaro, et al.. (2022). Interventions reducing affective polarization do not necessarily improve anti-democratic attitudes. Nature Human Behaviour. 7(1). 55–64. 82 indexed citations breakdown →
4.
Jones, Kevin C., et al.. (2017). Characterization of Compton-scatter imaging with an analytical simulation method. Physics in Medicine and Biology. 63(2). 25016–25016. 12 indexed citations
5.
Dandekar, Virag, et al.. (2015). Reporting small bowel dose in cervix cancer high-dose-rate brachytherapy. Medical dosimetry. 41(1). 28–33. 6 indexed citations
6.
Yao, Rui, et al.. (2013). Optimization for high-dose-rate brachytherapy of cervical cancer with adaptive simulated annealing and gradient descent. Brachytherapy. 13(4). 352–360. 11 indexed citations
7.
Chu, James C.H., et al.. (2012). Dosimetric characteristics of the small diameter BrainLab™ cones used for stereotactic radiosurgery. Journal of Applied Clinical Medical Physics. 13(1). 4–13. 22 indexed citations
8.
Chu, James C.H., et al.. (2012). Thermal Effusivity. Health Physics. 103(2). 204–209. 6 indexed citations
9.
Dickler, Adam, Michael C. Kirk, Wen C. Hsi, et al.. (2004). Treatment volume and dose optimization of MammoSite breast brachytherapy applicator. International Journal of Radiation Oncology*Biology*Physics. 59(2). 469–474. 60 indexed citations
10.
Turian, J, et al.. (2004). Monte Carlo calculations of output factors for clinically shaped electron fields. Journal of Applied Clinical Medical Physics. 5(2). 42–63. 8 indexed citations
11.
Nathan, Sandeep, Susie Kim, Peter Meyer, et al.. (2003). Correlates of failure following treatment with Sr‐90 beta irradiation for in‐stent restenosis. Catheterization and Cardiovascular Interventions. 59(2). 176–183. 1 indexed citations
12.
Senter, Shaun, Cam Nguyen, James C.H. Chu, et al.. (2003). Predictors of late cardiac events following treatment with Sr-90 β-irradiation for instent restenosis. PubMed. 4(1). 7–11. 10 indexed citations
13.
Li, X. Allen, et al.. (2001). Dynamic wedge versus physical wedge: A Monte Carlo study. Medical Physics. 28(4). 612–619. 18 indexed citations
15.
Ye, Sung‐Joon, et al.. (2000). Dosimetric perturbations of linear array of β‐emitter seeds and metallic stent in intravascular brachytherapy. Medical Physics. 27(2). 374–380. 27 indexed citations
16.
Li, X. Allen, et al.. (1999). Calculation of head scatter factors at isocenter or at center of field for any arbitrary jaw setting. Medical Physics. 26(4). 506–511. 10 indexed citations
17.
Wang, Xiaoyan, et al.. (1996). Dose to contralateral breast: A comparison of four primary breast irradiation techniques. International Journal of Radiation Oncology*Biology*Physics. 34(3). 727–732. 55 indexed citations
18.
Hartsell, William F., et al.. (1994). A single isocenter three-field breast irradiation technique using an empiric simulation and asymmetric collimator. Medical dosimetry. 19(3). 169–173. 5 indexed citations
19.
Wang, Xiaoyan, et al.. (1993). Dose to contralateral breast: A comparison of four primary breast irradiation techniques. International Journal of Radiation Oncology*Biology*Physics. 27. 194–195. 1 indexed citations
20.
Chu, James C.H., et al.. (1990). A nondivergent three field matching technique for breast irradiation. International Journal of Radiation Oncology*Biology*Physics. 19(4). 1037–1040. 29 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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