Monica W.K. Kan

646 total citations
22 papers, 486 citations indexed

About

Monica W.K. Kan is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Monica W.K. Kan has authored 22 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiation, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Monica W.K. Kan's work include Advanced Radiotherapy Techniques (21 papers), Radiation Therapy and Dosimetry (15 papers) and Medical Imaging Techniques and Applications (9 papers). Monica W.K. Kan is often cited by papers focused on Advanced Radiotherapy Techniques (21 papers), Radiation Therapy and Dosimetry (15 papers) and Medical Imaging Techniques and Applications (9 papers). Monica W.K. Kan collaborates with scholars based in Hong Kong, China and Australia. Monica W.K. Kan's co-authors include Lucullus H.T. Leung, Kaiyuan Yu, Anthony T.�C. Chan, Ashley Cheng, Kenneth C.W. Wong, Dora L.�W. Kwong, Macy Tong, Darren M.C. Poon, Michael Kam and J. Ν. Mathur and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Monica W.K. Kan

22 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica W.K. Kan Hong Kong 10 439 328 290 120 27 22 486
Matthew T. Studenski United States 13 316 0.7× 230 0.7× 270 0.9× 77 0.6× 15 0.6× 56 445
Yuji Nakaguchi Japan 12 261 0.6× 234 0.7× 171 0.6× 97 0.8× 33 1.2× 45 326
Keith R. Britton United States 9 448 1.0× 323 1.0× 416 1.4× 76 0.6× 18 0.7× 14 522
J. Welsh United States 3 348 0.8× 304 0.9× 194 0.7× 126 1.1× 21 0.8× 7 416
Enzhuo Quan United States 9 377 0.9× 257 0.8× 321 1.1× 93 0.8× 27 1.0× 22 472
Elinore Wieslander Sweden 12 634 1.4× 464 1.4× 460 1.6× 170 1.4× 16 0.6× 26 715
Tilo Wiezorek Germany 12 449 1.0× 266 0.8× 366 1.3× 59 0.5× 66 2.4× 25 507
Karl Bush United States 12 403 0.9× 305 0.9× 354 1.2× 74 0.6× 7 0.3× 32 503
H Malhotra United States 13 384 0.9× 277 0.8× 345 1.2× 81 0.7× 12 0.4× 53 525
O. Wooten United States 6 348 0.8× 294 0.9× 242 0.8× 59 0.5× 7 0.3× 9 398

Countries citing papers authored by Monica W.K. Kan

Since Specialization
Citations

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

Fields of papers citing papers by Monica W.K. Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica W.K. Kan. 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 Monica W.K. Kan. The network helps show where Monica W.K. Kan may publish in the future.

Co-authorship network of co-authors of Monica W.K. Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Monica W.K. Kan. A scholar is included among the top collaborators of Monica W.K. Kan 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 Monica W.K. Kan. Monica W.K. Kan 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.
Kan, Monica W.K., et al.. (2023). Clinical Experience of Intrafractional Motion Monitoring of Patients Under Head and Neck Radiation Therapy Using ExacTrac Dynamic System. Advances in Radiation Oncology. 9(3). 101390–101390. 1 indexed citations
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Kan, Monica W.K., et al.. (2022). Magnetic-field-modulated radiotherapy (MagMRT) in inhomogeneous medium and its potential applications. Biomedical Physics & Engineering Express. 8(6). 65012–65012. 2 indexed citations
4.
Kan, Monica W.K., et al.. (2022). Shift detection discrepancy between ExacTrac Dynamic system and cone‐beam computed tomography. Journal of Applied Clinical Medical Physics. 23(5). e13567–e13567. 8 indexed citations
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Kan, Monica W.K., et al.. (2021). Towards magnetic-field-modulated radiotherapy (MagMRT) with an MR-LINAC—a Monte Carlo study. Physics in Medicine and Biology. 66(20). 205014–205014. 3 indexed citations
8.
Kan, Monica W.K., et al.. (2021). Analysis of Hepatocellular Carcinoma Stereotactic Body Radiation Therapy Dose Prescription Method Using Uncomplicated Tumor Control Probability Model. Advances in Radiation Oncology. 6(5). 100739–100739. 7 indexed citations
9.
Kan, Monica W.K., et al.. (2020). Patient‐specific quality assurance using machine log files analysis for stereotactic body radiation therapy (SBRT). Journal of Applied Clinical Medical Physics. 21(11). 179–187. 14 indexed citations
10.
Kan, Monica W.K., Lucullus H.T. Leung, & Kaiyuan Yu. (2014). The Use of Biologically Related Model (Eclipse) for the Intensity-Modulated Radiation Therapy Planning of Nasopharyngeal Carcinomas. PLoS ONE. 9(11). e112229–e112229. 22 indexed citations
11.
Kan, Monica W.K., Lucullus H.T. Leung, & Kaiyuan Yu. (2013). The effect of the target-organ geometric complexity on the choice of delivery between RapidArc and sliding-window IMRT for nasopharyngeal carcinoma. Medical dosimetry. 38(3). 337–343. 1 indexed citations
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Kan, Monica W.K., Lucullus H.T. Leung, & Kaiyuan Yu. (2013). The performance of the progressive resolution optimizer (PRO) for RapidArc planning in targets with low‐density media. Journal of Applied Clinical Medical Physics. 14(6). 205–221. 10 indexed citations
14.
Kan, Monica W.K., Kaiyuan Yu, & Lucullus H.T. Leung. (2013). A Review on the Use of Grid-Based Boltzmann Equation Solvers for Dose Calculation in External Photon Beam Treatment Planning. BioMed Research International. 2013. 1–10. 18 indexed citations
15.
Kan, Monica W.K., Lucullus H.T. Leung, & Kaiyuan Yu. (2012). Verification and dosimetric impact of Acuros XB algorithm on intensity modulated stereotactic radiotherapy for locally persistent nasopharyngeal carcinoma. Medical Physics. 39(8). 4705–4714. 60 indexed citations
16.
Kan, Monica W.K., Lucullus H.T. Leung, & Kaiyuan Yu. (2012). Dosimetric Impact of Using the Acuros XB Algorithm for Intensity Modulated Radiation Therapy and RapidArc Planning in Nasopharyngeal Carcinomas. International Journal of Radiation Oncology*Biology*Physics. 85(1). e73–e80. 50 indexed citations
17.
Kan, Monica W.K., et al.. (2010). The accuracy of dose calculations by anisotropic analytical algorithms for stereotactic radiotherapy in nasopharyngeal carcinoma. Physics in Medicine and Biology. 56(2). 397–413. 21 indexed citations
18.
Kan, Monica W.K., et al.. (2009). Peripheral Doses from Noncoplanar IMRT for Pediatric Radiation Therapy. Medical dosimetry. 35(4). 255–263. 3 indexed citations
19.
Kan, Monica W.K., et al.. (2008). Radiation Dose From Cone Beam Computed Tomography for Image-Guided Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 70(1). 272–279. 173 indexed citations
20.
Yu, Kaiyuan, et al.. (1997). Skin dose reduction by a clinically viable magnetic deflector.. PubMed. 20(2). 107–11. 6 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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