M. Fatyga

946 total citations
50 papers, 764 citations indexed

About

M. Fatyga is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Fatyga has authored 50 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiation, 37 papers in Pulmonary and Respiratory Medicine and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Fatyga's work include Advanced Radiotherapy Techniques (40 papers), Radiation Therapy and Dosimetry (30 papers) and Medical Imaging Techniques and Applications (13 papers). M. Fatyga is often cited by papers focused on Advanced Radiotherapy Techniques (40 papers), Radiation Therapy and Dosimetry (30 papers) and Medical Imaging Techniques and Applications (13 papers). M. Fatyga collaborates with scholars based in United States, Australia and Belgium. M. Fatyga's co-authors include Wei Liu, Steven E. Schild, Martin Bues, William W. Wong, Jeffrey F. Williamson, Jiajian Shen, Paul Keall, Jie Shan, Elisabeth Weiss and William C. Sleeman and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Frontiers in Oncology.

In The Last Decade

M. Fatyga

45 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Fatyga United States 18 625 555 360 111 41 50 764
Barbara Knäusl Austria 16 503 0.8× 443 0.8× 354 1.0× 130 1.2× 40 1.0× 44 656
Peter Kuess Austria 17 568 0.9× 588 1.1× 333 0.9× 98 0.9× 62 1.5× 57 844
Yixiu Kang United States 9 678 1.1× 647 1.2× 340 0.9× 105 0.9× 55 1.3× 16 808
Robert Kaderka United States 14 426 0.7× 351 0.6× 256 0.7× 58 0.5× 62 1.5× 30 538
Junan Zhang United States 13 361 0.6× 318 0.6× 366 1.0× 120 1.1× 32 0.8× 31 574
Se Byeong Lee South Korea 19 902 1.4× 809 1.5× 386 1.1× 133 1.2× 59 1.4× 95 1.2k
Martin Soukup Czechia 13 803 1.3× 850 1.5× 281 0.8× 102 0.9× 104 2.5× 31 1.0k
T Nurushev United States 16 481 0.8× 238 0.4× 423 1.2× 184 1.7× 29 0.7× 28 714
F. Fellin Italy 13 311 0.5× 273 0.5× 200 0.6× 110 1.0× 67 1.6× 56 556
Peter Manser Switzerland 20 932 1.5× 745 1.3× 586 1.6× 268 2.4× 31 0.8× 113 1.2k

Countries citing papers authored by M. Fatyga

Since Specialization
Citations

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

Fields of papers citing papers by M. Fatyga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fatyga. A scholar is included among the top collaborators of M. Fatyga 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. Fatyga. M. Fatyga 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.
Schild, Steven E., et al.. (2023). Improving Dose Volume Histogram (DVH) Based Analysis of Clinical Outcomes Using Modern Statistical Techniques: A Systematic Answer to Multiple Comparisons Concerns. International Journal of Radiation Oncology*Biology*Physics. 117(2). S20–S20. 1 indexed citations
2.
Kang, Yixiu, Martin Bues, Michele Y. Halyard, et al.. (2023). Dose delivery reproducibility for PBS proton treatment of breast cancer patients with and without mask immobilization. Radiation Oncology. 18(1). 157–157.
3.
Anderson, Justin D., Martin Bues, M. Fatyga, et al.. (2022). Implementation of Photon Treatment Back-up Workflow at a High-Volume Proton Center: Safety, Quality, and Patient Considerations. Practical Radiation Oncology. 12(5). e453–e459.
5.
Shan, Jie, Jonathan B. Ashman, William G. Rule, et al.. (2021). Technical Note: 4D robust optimization in small spot intensity‐modulated proton therapy (IMPT) for distal esophageal carcinoma. Medical Physics. 48(8). 4636–4647. 25 indexed citations
8.
Schild, Steven E., et al.. (2020). Three-Dimensionally Printed On-Skin Radiation Shields Using High-Density Filament. Practical Radiation Oncology. 10(6). e543–e550. 5 indexed citations
9.
Kang, Yixiu, Jiajian Shen, Wei Liu, et al.. (2019). Impact of planned dose reporting methods on Gamma pass rates for IROC lung and liver motion phantoms treated with pencil beam scanning protons. Radiation Oncology. 14(1). 108–108. 5 indexed citations
11.
Shen, Jiajian, Wei Liu, Aman Anand, et al.. (2015). Impact of range shifter material on proton pencil beam spot characteristics. Medical Physics. 42(3). 1335–1340. 34 indexed citations
12.
Fatyga, M., Nesrin Dogan, Elizabeth Weiss, et al.. (2015). A Voxel-by-Voxel Comparison of Deformable Vector Fields Obtained by Three Deformable Image Registration Algorithms Applied to 4DCT Lung Studies. Frontiers in Oncology. 5. 17–17. 14 indexed citations
13.
Weiss, Elisabeth, M. Fatyga, Yan Wu, et al.. (2013). Dose Escalation for Locally Advanced Lung Cancer Using Adaptive Radiation Therapy With Simultaneous Integrated Volume-Adapted Boost. International Journal of Radiation Oncology*Biology*Physics. 86(3). 414–419. 27 indexed citations
14.
Mihaylov, I, M. Fatyga, Eduardo G. Moros, José Peñagarícano, & F. Lerma. (2010). Lung Dose for Minimally Moving Thoracic Lesions Treated With Respiration Gating. International Journal of Radiation Oncology*Biology*Physics. 77(1). 285–291. 6 indexed citations
15.
Fatyga, M., J Williamson, N. Dogan, et al.. (2009). A comparison of HDR brachytherapy and IMRT techniques for dose escalation in prostate cancer: A radiobiological modeling study. Medical Physics. 36(9Part1). 3995–4006. 20 indexed citations
16.
Suh, Yelin, Elisabeth Weiss, Hualiang Zhong, et al.. (2008). A Deliverable Four-Dimensional Intensity-Modulated Radiation Therapy-Planning Method for Dynamic Multileaf Collimator Tumor Tracking Delivery. International Journal of Radiation Oncology*Biology*Physics. 71(5). 1526–1536. 30 indexed citations
17.
Murphy, Martin J., Zhouping Wei, M. Fatyga, et al.. (2008). How does CT image noise affect 3D deformable image registration for image‐guided radiotherapy planning?. Medical Physics. 35(3). 1145–1153. 46 indexed citations
18.
Mihaylov, I, F. Lerma, M. Fatyga, & Jeffrey V. Siebers. (2007). Quantification of the impact of MLC modeling and tissue heterogeneities on dynamic IMRT dose calculations. Medical Physics. 34(4). 1244–1252. 14 indexed citations
19.
Dogan, Nesrin, Paul Keall, F. Lerma, et al.. (2006). Improving IMRT dose accuracy via deliverable Monte Carlo optimization for the treatment of head and neck cancer patients. Medical Physics. 33(11). 4033–4043. 40 indexed citations
20.
Melian, Edward, M. Fatyga, Mark J. Steinberg, et al.. (1999). Effect of metal reconstruction plates on cobalt-60 dose distribution: a predictive formula and clinical implications. International Journal of Radiation Oncology*Biology*Physics. 44(3). 725–730. 19 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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