Tuğçe Kütük

461 total citations
42 papers, 167 citations indexed

About

Tuğçe Kütük is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Tuğçe Kütük has authored 42 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 14 papers in Genetics and 13 papers in Oncology. Recurrent topics in Tuğçe Kütük's work include Glioma Diagnosis and Treatment (14 papers), Brain Metastases and Treatment (13 papers) and Advanced Radiotherapy Techniques (10 papers). Tuğçe Kütük is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Brain Metastases and Treatment (13 papers) and Advanced Radiotherapy Techniques (10 papers). Tuğçe Kütük collaborates with scholars based in United States, Türkiye and Netherlands. Tuğçe Kütük's co-authors include Rupesh Kotecha, Minesh P. Mehta, Alonso N. Gutiérrez, Matthew D. Hall, Ranjini Tolakanahalli, Martin C. Tom, Zeynep Eroglu, Manmeet S. Ahluwalia, Michael D. Chuong and Michael W. McDermott and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.

In The Last Decade

Tuğçe Kütük

36 papers receiving 167 citations

Peers

Tuğçe Kütük
Tuğçe Kütük
Citations per year, relative to Tuğçe Kütük Tuğçe Kütük (= 1×) peers Detlef Imhoff

Countries citing papers authored by Tuğçe Kütük

Since Specialization
Citations

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

Fields of papers citing papers by Tuğçe Kütük

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuğçe Kütük

This figure shows the co-authorship network connecting the top 25 collaborators of Tuğçe Kütük. A scholar is included among the top collaborators of Tuğçe Kütük 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 Tuğçe Kütük. Tuğçe Kütük 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.
Bryant, John Michael, Matthew N. Mills, Kujtim Latifi, et al.. (2025). Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases. JCO Clinical Cancer Informatics. 9(9). e2400002–e2400002.
2.
Zhang, Yanjia, Anshul Saxena, Tuğçe Kütük, et al.. (2025). Assessment of outcomes and machine Learning-based models to predict local failure risk following stereotactic radiosurgery for small brain metastases. Journal of Neuro-Oncology. 174(3). 635–643. 1 indexed citations
3.
Uğurluer, Gamze, Famke L. Schneiders, Stefanie Corradini, et al.. (2024). Factors influencing local control after MR-guided stereotactic body radiotherapy (MRgSBRT) for adrenal metastases. Clinical and Translational Radiation Oncology. 46. 100756–100756. 3 indexed citations
4.
Mills, Matthew N., Rupesh Kotecha, Tuğçe Kütük, et al.. (2024). Multi-institutional experience of MR-guided stereotactic body radiation therapy for adrenal gland metastases. Clinical and Translational Radiation Oncology. 45. 100719–100719. 2 indexed citations
5.
Zhang, Yi, Anshul Saxena, Tuğçe Kütük, et al.. (2024). Development of a Machine Learning-Based Tool to Predict Local Failure after Stereotactic Radiosurgery for Small Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 120(2). e292–e292. 1 indexed citations
6.
Kütük, Tuğçe, Matthew D. Hall, Robert H. Press, et al.. (2024). 630: Connectome analysis & cognitive outcomes post Whole-brain RT: Prospective registry's first analysis. Radiotherapy and Oncology. 194. S769–S771.
7.
Kütük, Tuğçe, Mahmoud A. Abdalah, Olya Stringfield, et al.. (2024). Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery. Physics and Imaging in Radiation Oncology. 31. 100602–100602. 3 indexed citations
9.
Kütük, Tuğçe, et al.. (2024). Interdisciplinary Collaboration in Head and Neck Cancer Care: Optimizing Oral Health Management for Patients Undergoing Radiation Therapy. Current Oncology. 31(4). 2092–2108. 3 indexed citations
10.
Kütük, Tuğçe, Yanjia Zhang, Ranjini Tolakanahalli, et al.. (2024). Comparative evaluation of outcomes amongst different radiosurgery management paradigms for patients with large brain metastasis. Journal of Neuro-Oncology. 169(1). 105–117. 4 indexed citations
11.
Kılıç, Sarah S., Tuğçe Kütük, Lara Hathout, et al.. (2023). Radiation therapy for prostate cancer in Syrian refugees: facing the need for change. Frontiers in Public Health. 11. 1172864–1172864. 6 indexed citations
12.
Mittauer, Kathryn E., Michael D. Chuong, Matthew D. Hall, et al.. (2023). Accelerated hypofractionated magnetic resonance-guided adaptive radiotherapy for oligoprogressive non-small cell lung cancer. Medical dosimetry. 48(4). 238–244. 3 indexed citations
13.
Tom, Martin C., Tuğçe Kütük, Muni Rubens, et al.. (2023). Characterization of Large Brain Metastases with 18F-Fluciclovine PET/CT Treated with Staged Stereotactic Radiosurgery (SSRS): Phase 1 Proof-of-Concept Interim Analysis. International Journal of Radiation Oncology*Biology*Physics. 117(2). e119–e120. 1 indexed citations
14.
Kütük, Tuğçe, et al.. (2023). Dose-Escalated Preoperative Proton Therapy for Retroperitoneal Sarcomas: Initial Outcomes of a New Treatment Paradigm. Advances in Radiation Oncology. 9(4). 101431–101431. 1 indexed citations
15.
Tolakanahalli, Ranjini, Tuğçe Kütük, Martin C. Tom, et al.. (2023). Dosimetric Impact of Lesion Number, Size, and Volume on Mean Brain Dose with Stereotactic Radiosurgery for Multiple Brain Metastases. Cancers. 15(3). 780–780. 6 indexed citations
16.
Kütük, Tuğçe, Joshua M. Walker, Matthew T. Ballo, et al.. (2023). Multi-Institutional Patterns of Use of Tumor-Treating Fields for Patients with Malignant Pleural Mesothelioma. Current Oncology. 30(6). 5195–5200. 2 indexed citations
17.
Kütük, Tuğçe, Ranjini Tolakanahalli, Vivek Mishra, et al.. (2023). Surgically targeted radiation therapy (STaRT) for recurrent brain metastases: Initial clinical experience. Brachytherapy. 22(6). 872–881. 6 indexed citations
18.
Kütük, Tuğçe, Muni Rubens, Michael D. Chuong, et al.. (2021). Evaluation of a prospective radiation oncology departmental team review process using standardized simulation directives. Radiotherapy and Oncology. 170. 102–110. 3 indexed citations
19.
Kütük, Tuğçe, James McCulloch, Kathryn E. Mittauer, et al.. (2021). Daily online adaptive magnetic resonance image (MRI) guided stereotactic body radiation therapy for primary renal cell cancer. Medical dosimetry. 46(3). 289–294. 3 indexed citations
20.
Sayan, Mutlay, Apar Gupta, Nisha Ohri, et al.. (2019). Current Treatment Strategies in Malignant Pleural Mesothelioma with a Treatment Algorithm. Advances in respiratory medicine. 87(5). 289–297. 12 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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