Matthew T. Studenski

629 total citations
56 papers, 445 citations indexed

About

Matthew T. Studenski is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew T. Studenski has authored 56 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiation, 34 papers in Pulmonary and Respiratory Medicine and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew T. Studenski's work include Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (16 papers) and Advanced X-ray and CT Imaging (13 papers). Matthew T. Studenski is often cited by papers focused on Advanced Radiotherapy Techniques (30 papers), Radiation Therapy and Dosimetry (16 papers) and Advanced X-ray and CT Imaging (13 papers). Matthew T. Studenski collaborates with scholars based in United States, Iran and China. Matthew T. Studenski's co-authors include A Harrison, Ying Xiao, Adam P. Dicker, Yan Yu, Matthew C. Abramowitz, Alan Pollack, Radka Stoyanova, Nesrin Dogan, Robert B. Den and Kimberlee J. Kearfott and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Matthew T. Studenski

50 papers receiving 440 citations

Peers

Matthew T. Studenski
Sarah B. Scarboro United States
Kaley Woods United States
A.W. Sharfo Netherlands
Vivian Rodriguez United States
E. Woudstra Netherlands
L. Wilke Switzerland
I Yeo United States
P. Lattuada Italy
Nigel P. Orton United States
Akihisa Wakita Japan
Sarah B. Scarboro United States
Matthew T. Studenski
Citations per year, relative to Matthew T. Studenski Matthew T. Studenski (= 1×) peers Sarah B. Scarboro

Countries citing papers authored by Matthew T. Studenski

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Studenski'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 Matthew T. Studenski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Studenski more than expected).

Fields of papers citing papers by Matthew T. Studenski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Studenski. 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 Matthew T. Studenski. The network helps show where Matthew T. Studenski may publish in the future.

Co-authorship network of co-authors of Matthew T. Studenski

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Studenski. A scholar is included among the top collaborators of Matthew T. Studenski 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 Matthew T. Studenski. Matthew T. Studenski 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.
Studenski, Matthew T., et al.. (2024). Cone beam CT-based adaptive intensity modulated proton therapy assessment using automated planning for head-and-neck cancer. Radiation Oncology. 19(1). 13–13. 7 indexed citations
2.
Ford, John C., Matthew T. Studenski, Kyle R. Padgett, et al.. (2024). Increasing the efficiency of cone-beam CT based delta-radiomics using automated contours to predict radiotherapy-related toxicities in prostate cancer. Scientific Reports. 14(1). 9563–9563. 1 indexed citations
3.
4.
Grossman, Julie, Andrew E. Rosenberg, Alan S. Livingstone, et al.. (2023). CivaSheet® use for soft tissue sarcoma: A single institution experience. Brachytherapy. 22(5). 649–654.
5.
Kwon, Deukwoo, Arnold M. Markoe, Zélia M. Corrêa, et al.. (2022). Clinical characteristics and postoperative complications as predictors of radiation toxicity after treatment with I125 Eye Plaque Brachytherapy for Uveal Melanomas. Brachytherapy. 21(6). 896–903. 1 indexed citations
6.
Spieler, Benjamin, John C. Ford, Deukwoo Kwon, et al.. (2022). Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study. Scientific Reports. 12(1). 20136–20136. 8 indexed citations
7.
Ford, John C., Kyle R. Padgett, Matthew T. Studenski, et al.. (2021). Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer. Scientific Reports. 11(1). 22737–22737. 7 indexed citations
8.
Studenski, Matthew T., et al.. (2020). Spatial mesh-based surface source model for the electron contamination of an 18 MV photon beams. Journal of Medical Physics. 45(4). 221–221. 2 indexed citations
9.
Studenski, Matthew T., Kyle R. Padgett, Matthew C. Abramowitz, et al.. (2020). Margin verification for hypofractionated prostate radiotherapy using a novel dose accumulation workflow and iterative CBCT. Physica Medica. 77. 154–159. 12 indexed citations
10.
11.
Studenski, Matthew T., Manuel Paez-Escamilla, Scott D. Walter, et al.. (2019). Dosimetric comparison of circular Eye Physics and Collaborative Ocular Melanoma Study plaques to treat uveal melanoma. Brachytherapy. 18(3). 404–410. 6 indexed citations
12.
Lamichhane, Narottam, et al.. (2016). Going the distance: validation of Acuros and AAA at an extended SSD of 400 cm. Journal of Applied Clinical Medical Physics. 17(2). 63–73. 12 indexed citations
13.
Bossart, Elizabeth, Radka Stoyanova, Kiri A. Sandler, et al.. (2016). Feasibility and Initial Dosimetric Findings for a Randomized Trial Using Dose-Painted Multiparametric Magnetic Resonance Imaging–Defined Targets in Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 95(2). 827–834. 11 indexed citations
14.
Wang, Jiazhou, Xiance Jin, Jiayuan Peng, et al.. (2015). Patient feature based dosimetric Pareto front prediction in esophageal cancer radiotherapy. Medical Physics. 42(2). 1005–1011. 15 indexed citations
15.
Studenski, Matthew T., Stephen Gardner, & Robert B. Den. (2014). Uncertainties encountered in implementation of adaptive planning with in vivo dosimeters. Radiological Physics and Technology. 8(1). 81–87. 1 indexed citations
16.
Gardner, Stephen, Matthew T. Studenski, T Giaddui, et al.. (2014). Investigation into image quality and dose for different patient geometries with multiple cone‐beam CT systems. Medical Physics. 41(3). 31908–31908. 26 indexed citations
17.
Xiao, Ying, et al.. (2014). The effect of energy spectrum change on DNA damage in and out of field in 10-MV clinical photon beams. Medical & Biological Engineering & Computing. 53(1). 67–75. 5 indexed citations
18.
Buzurović, Ivan, Timothy N. Showalter, Matthew T. Studenski, et al.. (2013). Commissioning and implementation of an implantable dosimeter for radiation therapy. Journal of Applied Clinical Medical Physics. 14(2). 234–252. 6 indexed citations
19.
Studenski, Matthew T., Xinglei Shen, Yan Yu, et al.. (2012). Intensity-modulated radiation therapy and volumetric-modulated arc therapy for adult craniospinal irradiation—A comparison with traditional techniques. Medical dosimetry. 38(1). 48–54. 30 indexed citations
20.
Studenski, Matthew T. & Kimberlee J. Kearfott. (2007). Design and Simulation of a Neutron Facility. Health Physics. 92(Suppl 1). S37–S44. 2 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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