Ryan T. Hughes

1.6k total citations
112 papers, 1.1k citations indexed

About

Ryan T. Hughes is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Ryan T. Hughes has authored 112 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Pulmonary and Respiratory Medicine, 37 papers in Oncology and 31 papers in Surgery. Recurrent topics in Ryan T. Hughes's work include Brain Metastases and Treatment (31 papers), Head and Neck Cancer Studies (29 papers) and Lung Cancer Research Studies (19 papers). Ryan T. Hughes is often cited by papers focused on Brain Metastases and Treatment (31 papers), Head and Neck Cancer Studies (29 papers) and Lung Cancer Research Studies (19 papers). Ryan T. Hughes collaborates with scholars based in United States and United Kingdom. Ryan T. Hughes's co-authors include Michael D. Chan, Michael Farris, Jimmy Ruiz, Stephen B. Tatter, Christina K. Cramer, Adrian W. Laxton, E. McTyre, Kounosuke Watabe, D.N. Ayala-Peacock and Jing Su and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Scientific Reports.

In The Last Decade

Ryan T. Hughes

95 papers receiving 1.1k citations

Peers

Ryan T. Hughes
Stefan Janssen Germany
Maurizio Valeriani Italy
Y.A. Abuodeh United States
Stefano Ursino Italy
Jeffrey D. Radawski United States
Nikhil Joshi United States
Parvesh Kumar United States
M Chatani Japan
Anna Russo Italy
L. Trodella Italy
Stefan Janssen Germany
Ryan T. Hughes
Citations per year, relative to Ryan T. Hughes Ryan T. Hughes (= 1×) peers Stefan Janssen

Countries citing papers authored by Ryan T. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Ryan T. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan T. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Hughes. A scholar is included among the top collaborators of Ryan T. Hughes 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 Ryan T. Hughes. Ryan T. Hughes 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.
Hughes, Ryan T., et al.. (2025). Predicting Extranodal Extension with Preoperative Contrast-enhanced CT in Patients with Oropharyngeal Squamous Cell Carcinoma. Radiology Imaging Cancer. 7(2). e240127–e240127. 1 indexed citations
2.
Hughes, Ryan T., et al.. (2025). Cartilage Oligomeric Matrix Protein Promotes Radiation Resistance in Non-Small Cell Lung Cancer In Vitro. International Journal of Molecular Sciences. 26(6). 2465–2465. 1 indexed citations
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Winkfield, Karen M., Ryan T. Hughes, Doris Brown, et al.. (2024). Randomized Pilot Study of a Keratin-based Topical Cream for Radiation Dermatitis in Breast Cancer Patients. Technology in Cancer Research & Treatment. 23. 2223964025–2223964025. 7 indexed citations
6.
Hughes, Ryan T., N. Razavian, Ralph B. D’Agostino, et al.. (2024). Radiologist Involvement in Radiation Oncology Peer Review. JAMA Network Open. 7(12). e2452667–e2452667.
7.
Farris, Michael, N. Razavian, Anna C. Snavely, et al.. (2024). Creation of Novel Inexpensive Low Artifact Brachytherapy Contrast Markers Compatible with CT and MRI. International Journal of Radiation Oncology*Biology*Physics. 120(2). e127–e127.
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Hughes, Ryan T., Varsha Gandhi, Adam E. Snook, Scott A. Waldman, & Adam C. Mueller. (2023). Gamma Secretase Inhibition Sensitizes Pancreatic Adenocarcinoma Tumors to RT In Vivo. International Journal of Radiation Oncology*Biology*Physics. 117(2). S103–S104. 1 indexed citations
11.
Farris, Michael, N. Razavian, Ryan T. Hughes, et al.. (2023). Bridging the Communication Gaps: A Prospective Single-Arm Pilot Study Testing the Feasibility of Interdisciplinary Radiotherapy Planning in Locally Advanced Lung Cancer. Academic Radiology. 30(11). 2566–2573. 3 indexed citations
12.
Hughes, Ryan T., Beverly J. Levine, Kathryn M. Greven, et al.. (2023). Feasibility of a Keratin-Based Topical Cream for Radiation Dermatitis in Patients with Head and Neck Cancer: Results of a Randomized Pilot Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e590–e590. 1 indexed citations
13.
Farris, Joshua C., et al.. (2022). Palliative Appropriateness Criteria: A Pragmatic Method to Evaluate the Suitability of Palliative Radiotherapy Fractionation. Journal of Palliative Medicine. 26(1). 67–72. 4 indexed citations
14.
Farris, Joshua C., Paul Black, Michael D. Chan, et al.. (2022). Intensity‐modulated radiotherapy with planned Gamma Knife radiosurgery boost for head and neck cancer with extensive disease in proximity to critical structures. Head & Neck. 44(11). 2571–2578. 5 indexed citations
15.
Burnett, Luke, Ryan T. Hughes, Lauren T. Moffatt, et al.. (2021). Review of the Terminology Describing Ionizing Radiation-Induced Skin Injury: A Case for Standardization. Technology in Cancer Research & Treatment. 20. 2203781569–2203781569. 11 indexed citations
16.
Hughes, Ryan T., James J. Urbanic, Hollins Clark, et al.. (2021). Long-Term Outcomes From a Phase 2 Trial of Radiofrequency Ablation Combined With External Beam Radiation Therapy for Patients With Inoperable Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 111(1). 152–156. 6 indexed citations
17.
Xie, Amy, Alexander H. Song, Ryan T. Hughes, et al.. (2021). Relationship between Tumor Mutational Burden, PD-L1, Patient Characteristics, and Response to Immune Checkpoint Inhibitors in Head and Neck Squamous Cell Carcinoma. Cancers. 13(22). 5733–5733. 25 indexed citations
18.
LeCompte, M.C., Ryan T. Hughes, Michael Farris, et al.. (2020). Impact of brain metastasis velocity on neurologic death for brain metastasis patients experiencing distant brain failure after initial stereotactic radiosurgery. Journal of Neuro-Oncology. 146(2). 285–292. 8 indexed citations
19.
Farris, Michael, E. McTyre, Christina K. Cramer, et al.. (2017). Brain Metastasis Velocity: A Novel Prognostic Metric Predictive of Overall Survival and Freedom From Whole-Brain Radiation Therapy After Distant Brain Failure Following Upfront Radiosurgery Alone. International Journal of Radiation Oncology*Biology*Physics. 98(1). 131–141. 75 indexed citations
20.
McTyre, E., M.C. LeCompte, Christina K. Cramer, et al.. (2017). The number of prior lines of systemic therapy as a prognostic factor for patients with brain metastases treated with stereotactic radiosurgery: Results of a large single institution retrospective analysis. Clinical Neurology and Neurosurgery. 165. 24–28. 5 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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