M.M. Matuszak

5.1k total citations · 2 hit papers
169 papers, 3.1k citations indexed

About

M.M. Matuszak is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M.M. Matuszak has authored 169 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Radiology, Nuclear Medicine and Imaging, 93 papers in Radiation and 85 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M.M. Matuszak's work include Advanced Radiotherapy Techniques (93 papers), Lung Cancer Diagnosis and Treatment (51 papers) and Radiomics and Machine Learning in Medical Imaging (28 papers). M.M. Matuszak is often cited by papers focused on Advanced Radiotherapy Techniques (93 papers), Lung Cancer Diagnosis and Treatment (51 papers) and Radiomics and Machine Learning in Medical Imaging (28 papers). M.M. Matuszak collaborates with scholars based in United States, China and Canada. M.M. Matuszak's co-authors include Randall K. Ten Haken, Theodore S. Lawrence, Feng‐Ming Kong, Matthew J. Schipper, Shruti Jolly, James A. Hayman, Jean M. Moran, Inga S. Grills, Issam El Naqa and Daniel L. McShan and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and PLoS ONE.

In The Last Decade

M.M. Matuszak

157 papers receiving 3.1k citations

Hit Papers

Cardiac Events After Radiation Therapy: Combined Analysis... 2017 2026 2020 2023 2017 2022 50 100 150 200 250

Peers

M.M. Matuszak
Mark K. Buyyounouski United States
Dimos Baltas Germany
Max Dahele Netherlands
Cary Oberije Netherlands
M.M. Matuszak
Citations per year, relative to M.M. Matuszak M.M. Matuszak (= 1×) peers Giacomo Reggiori

Countries citing papers authored by M.M. Matuszak

Since Specialization
Citations

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

Fields of papers citing papers by M.M. Matuszak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.M. Matuszak

This figure shows the co-authorship network connecting the top 25 collaborators of M.M. Matuszak. A scholar is included among the top collaborators of M.M. Matuszak 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 M.M. Matuszak. M.M. Matuszak 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.
Dytfeld, Dominik, et al.. (2025). Should we Cryopreserve Allogenic Hematopoietic Stem Cell Grafts?. In Vivo. 39(2). 870–876.
2.
Herr, Daniel J., Huiying Yin, D.P. Bergsma, et al.. (2024). Factors associated with acute esophagitis during radiation therapy for lung cancer. Radiotherapy and Oncology. 197. 110349–110349. 5 indexed citations
3.
Niraula, Dipesh, Jionghua Jin, Ivo D. Dinov, et al.. (2023). A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS). Scientific Reports. 13(1). 5279–5279. 27 indexed citations
4.
Wei, Lise, Madhava Aryal, Kyle C. Cuneo, et al.. (2023). Deep learning prediction of post‐SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE‐MRI. Medical Physics. 50(9). 5597–5608. 4 indexed citations
5.
Herr, Daniel J., Chang Wang, Mishal Mendiratta‐Lala, et al.. (2023). A Phase II Study of Optimized Individualized Adaptive Radiotherapy for Hepatocellular Carcinoma. Clinical Cancer Research. 29(19). 3852–3858. 3 indexed citations
6.
Tsien, Christina, Stephanie L. Pugh, Adam P. Dicker, et al.. (2022). NRG Oncology/RTOG1205: A Randomized Phase II Trial of Concurrent Bevacizumab and Reirradiation Versus Bevacizumab Alone as Treatment for Recurrent Glioblastoma. Journal of Clinical Oncology. 41(6). 1285–1295. 104 indexed citations breakdown →
7.
Boike, Thomas, M.M. Dominello, James A. Hayman, et al.. (2022). Knowledge-Based Quality Assurance and Model Maintenance in Lung Cancer Radiation Therapy in a Statewide Quality Consortium of Academic and Community Practice Centers. Practical Radiation Oncology. 13(2). e200–e208.
8.
Matuszak, M.M., et al.. (2021). Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer. Physics in Medicine and Biology. 66(22). 225006–225006. 6 indexed citations
9.
Paradis, Kelly C., Kerry A. Ryan, Jean M. Moran, et al.. (2021). Gender Differences in Work–Life Integration Among Medical Physicists. Advances in Radiation Oncology. 6(5). 100724–100724. 7 indexed citations
10.
Paradis, Kelly C., et al.. (2020). The Fusion of Incident Learning and Failure Mode and Effects Analysis for Data-Driven Patient Safety Improvements. Practical Radiation Oncology. 11(1). e106–e113. 9 indexed citations
11.
Miller, C. A., et al.. (2020). Review of Sterilization Techniques for Medical and Personal Protective Equipment Contaminated With SARS-CoV-2. IEEE Access. 8. 111347–111354. 40 indexed citations
12.
Dess, Robert T., Yilun Sun, Daniel G. Muenz, et al.. (2019). Cardiac Dose in Locally Advanced Lung Cancer: Results From a Statewide Consortium. Practical Radiation Oncology. 10(1). e27–e36. 13 indexed citations
13.
Matuszak, M.M., Maria C. Mejia de Grubb, Robin Marsh, et al.. (2018). Knowledge Based Quality Assurance and Improvement in Locally Advanced Lung Cancer Radiation Therapy in a Statewide Consortium of Academic and Community Practice Centers. International Journal of Radiation Oncology*Biology*Physics. 102(3). S217–S217. 1 indexed citations
14.
Jolly, Shruti, Yilun Sun, Peter G. Hawkins, et al.. (2017). Individualizing Radiation Dose in Locally Advanced Non–Small Cell Lung Cancer Patients Using Pretreatment Serum MicroRNA Signatures. International Journal of Radiation Oncology*Biology*Physics. 98(1). 222–222. 2 indexed citations
15.
Kong, Feng‐Ming, Randall K. Ten Haken, Matthew J. Schipper, et al.. (2017). Effect of Midtreatment PET/CT-Adapted Radiation Therapy With Concurrent Chemotherapy in Patients With Locally Advanced Non–Small-Cell Lung Cancer. PMC. 9 indexed citations
16.
Younge, Kelly C., et al.. (2016). Predicting deliverability of volumetric‐modulated arc therapy (VMAT) plans using aperture complexity analysis. Journal of Applied Clinical Medical Physics. 17(4). 124–131. 61 indexed citations
17.
Wang, S.L., et al.. (2015). A Novel Radiation Pneumonitis Predictive Model With MLD and IL-8 for Non-Small Cell Lung Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 93(3). S153–S153. 1 indexed citations
18.
Matuszak, M.M., Scott Hadley, Mary Feng, et al.. (2015). Enhancing safety and quality through preplanning peer review for patients undergoing stereotactic body radiation therapy. Practical Radiation Oncology. 6(2). e39–e46. 28 indexed citations
19.
Matuszak, M.M., Troy Long, Daniel L. McShan, et al.. (2013). FusionArc optimization: A hybrid volumetric modulated arc therapy (VMAT) and intensity modulated radiation therapy (IMRT) planning strategy. Medical Physics. 40(7). 71713–71713. 21 indexed citations
20.
Matuszak, M.M.. (2007). Controlling Beam Complexity in Intensity Modulated Radiation Therapy.. Deep Blue (University of Michigan). 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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