John M. Hudson
About
John M. Hudson is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering.
According to data from OpenAlex, John M. Hudson has authored 39 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 12 papers in Biomedical Engineering. Recurrent topics in John M. Hudson's work include MRI in cancer diagnosis (13 papers), Ultrasound and Hyperthermia Applications (12 papers) and Renal cell carcinoma treatment (10 papers). John M. Hudson is often cited by papers focused on MRI in cancer diagnosis (13 papers), Ultrasound and Hyperthermia Applications (12 papers) and Renal cell carcinoma treatment (10 papers). John M. Hudson collaborates with scholars based in Canada, United Kingdom and Australia. John M. Hudson's co-authors include Peter N. Burns, Ross Williams, Georg A. Bjarnason, Laurent Milot, Mostafa Atri, Raffi Karshafian, Alex Kiss, Bishoy Khalil, Tae Kyoung Kim and Greg J. Stanisz and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and International Journal of Radiation Oncology*Biology*Physics.
In The Last Decade
John M. Hudson
37 papers receiving 727 citations
Peers
John M. Hudson
Michal R. Tomaszewski United States
Roberto Alonzi United Kingdom
A. Soriani Italy
Chris J. Rose United Kingdom
H. Alberto Vargas United States
G. Delpon France
Daphne D. D. Rietbergen Netherlands
Seong Young Kwon South Korea
Pierluigi Rinaldi Italy
Jan C. Peeken Germany
Citations per year, relative to John M. Hudson John M. Hudson (= 1×)
peers
Michal R. Tomaszewski
Countries citing papers authored by John M. Hudson
Since
Specialization
Citations
This map shows the geographic impact of John M. Hudson'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 John M. Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Hudson more than expected).
Fields of papers citing papers by John M. Hudson
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by John M. Hudson. 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 John M. Hudson. The network helps show where John M. Hudson may publish in the future.
Co-authorship network of co-authors of John M. Hudson
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Hudson. A scholar is included among the top collaborators of John M. Hudson 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 John M. Hudson. John M. Hudson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Lim, Annette M., Benjamin Baker, Christopher Angel, et al.. (2025). Radiological, Pathological, and Surgical Outcomes with Neoadjuvant Cemiplimab for Stage II–IV Cutaneous Squamous Cell Carcinoma in the Deep Sequencing in Cutaneous Squamous Cell Carcinomas (DISCERN) Trial. Cancers. 17(10). 1727–1727.
2.
Chan, Annie W., Daniel Moore-Palhares, John M. Hudson, et al.. (2024). MR-Linac On-Line Weekly Adaptive Radiotherapy for High Grade Glioma (HGG): Results from the UNITED Single Arm Phase II Trial. International Journal of Radiation Oncology*Biology*Physics. 120(2). S4–S4.
3.
Hudson, John M., Hans T. Chung, William Chu, et al.. (2021). Stereotactic Ablative Radiotherapy for the Management of Liver Metastases from Neuroendocrine Neoplasms: A Preliminary Study. Neuroendocrinology. 112(2). 153–160.
4.
Myrehaug, Sten, John M. Hudson, Hany Soliman, et al.. (2021). Hypofractionated Stereotactic Radiation Therapy for Intact Brain Metastases in 5 Daily Fractions: Effect of Dose on Treatment Response. International Journal of Radiation Oncology*Biology*Physics. 112(2). 342–350.
5.
Cheung, Helen, Jin K. Kim, John M. Hudson, et al.. (2019). Late gadolinium MRI enhancement of colorectal liver metastases is associated with overall survival among nonsurgical patients. European Radiology. 29(7). 3901–3907.
6.
Zezos, Petros, Eran Zittan, John M. Hudson, et al.. (2019). Associations between quantitative evaluation of bowel wall microvascular flow by contrast‐enhanced ultrasound and indices of disease activity in Crohn's disease patients using both bolus and infusion techniques. Journal of Clinical Ultrasound. 47(8). 453–460.
7.
Hudson, John M., Colleen Bailey, Mostafa Atri, et al.. (2018). The prognostic and predictive value of vascular response parameters measured by dynamic contrast-enhanced-CT, -MRI and -US in patients with metastatic renal cell carcinoma receiving sunitinib. European Radiology. 28(6). 2281–2290.
8.
Metcalf, Robert, Sumitra Mohan, Said Hilton, et al.. (2017). The application of liquid biopsies in metastatic salivary gland cancer to identify candidate therapeutic targets. Annals of Oncology. 28. vii8–vii8.
9.
Lo, Glen, Ravi Menezes, John M. Hudson, et al.. (2016). Detection of Early Tumor Response to Axitinib in Advanced Hepatocellular Carcinoma by Dynamic Contrast Enhanced Ultrasound. Ultrasound in Medicine & Biology. 42(6). 1303–1311.
10.
Hudson, John M., et al.. (2016). In Vivo Validation of Volume Flow Measurements of Pulsatile Flow Using a Clinical Ultrasound System and Matrix Array Transducer. Ultrasound in Medicine & Biology. 43(3). 579–585.
11.
Atri, Mostafa, John M. Hudson, Ross Williams, et al.. (2015). Impact of Acquisition Method and Region of Interest Placement on Inter-observer Agreement and Measurement of Tumor Response to Targeted Therapy Using Dynamic Contrast-Enhanced Ultrasound. Ultrasound in Medicine & Biology. 42(3). 763–768.
12.
Bjarnason, Georg A., Bishoy Khalil, John M. Hudson, et al.. (2015). Reprint of: Outcomes in patients with metastatic renal cell cancer treated with individualized sunitinib therapy: Correlation with dynamic microbubble ultrasound data and review of the literature. Urologic Oncology Seminars and Original Investigations. 33(4). 171–178.
13.
Hudson, John M., Ross Williams, Charles Tremblay‐Darveau, et al.. (2015). Dynamic contrast enhanced ultrasound for therapy monitoring. European Journal of Radiology. 84(9). 1650–1657.
14.
Ebos, John M.L., Michalis Mastri, Christina R. Lee, et al.. (2014). Neoadjuvant antiangiogenic therapy reveals contrasts in primary and metastatic tumor efficacy. EMBO Molecular Medicine. 6(12). 1561–1576.
15.
Bjarnason, Georg A., Bishoy Khalil, John M. Hudson, et al.. (2013). Outcomes in patients with metastatic renal cell cancer treated with individualized sunitinib therapy: Correlation with dynamic microbubble ultrasound data and review of the literature. Urologic Oncology Seminars and Original Investigations. 32(4). 480–487.
16.
Denbeigh, Janet M., Brian A. Nixon, John M. Hudson, Mira C. Puri, & F. Stuart Foster. (2013). VEGFR2-Targeted Molecular Imaging in the Mouse Embryo: An Alternative to the Tumor Model. Ultrasound in Medicine & Biology. 40(2). 389–399.
17.
Hudson, John M., Ross Williams, Mostafa Atri, et al.. (2011). Improved Flow Measurement Using Microbubble Contrast Agents and Disruption-Replenishment: Clinical Application to Tumour Monitoring. Ultrasound in Medicine & Biology. 37(8). 1210–1221.
18.
Hudson, John M., et al.. (2011). The Lognormal Perfusion Model for Disruption Replenishment Measurements of Blood Flow: In Vivo Validation. Ultrasound in Medicine & Biology. 37(10). 1571–1578.
19.
Williams, Ross, John M. Hudson, Laurent Milot, et al.. (2011). Dynamic Microbubble Contrast-enhanced US to Measure Tumor Response to Targeted Therapy: A Proposed Clinical Protocol with Results from Renal Cell Carcinoma Patients Receiving Antiangiogenic Therapy. Radiology. 260(2). 581–590.
20.
Hudson, John M., Raffi Karshafian, & Peter N. Burns. (2009). Quantification of Flow Using Ultrasound and Microbubbles: A Disruption Replenishment Model Based on Physical Principles. Ultrasound in Medicine & Biology. 35(12). 2007–2020.
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