Todd McNutt

8.2k total citations · 1 hit paper
215 papers, 5.4k citations indexed

About

Todd McNutt is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Todd McNutt has authored 215 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Radiation, 102 papers in Radiology, Nuclear Medicine and Imaging and 95 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Todd McNutt's work include Advanced Radiotherapy Techniques (114 papers), Head and Neck Cancer Studies (48 papers) and Medical Imaging Techniques and Applications (40 papers). Todd McNutt is often cited by papers focused on Advanced Radiotherapy Techniques (114 papers), Head and Neck Cancer Studies (48 papers) and Medical Imaging Techniques and Applications (40 papers). Todd McNutt collaborates with scholars based in United States, Japan and Netherlands. Todd McNutt's co-authors include Binbin Wu, Sasa Mutic, Kristy K. Brock, Russell H. Taylor, Hua Li, Marc L. Kessler, Giuseppe Sanguineti, Patricio Simari, Robert Jacques and John Wong and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Todd McNutt

195 papers receiving 5.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

2017 596 citations Todd McNutt et al. Medical Physics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Todd McNutt	3.5k	2.9k	2.7k	907	576	215	5.4k
Mischa S. Hoogeman	5.1k 1.5×	3.3k 1.1×	4.0k 1.5×	908 1.0×	351 0.6×	225	6.4k
Dirk Verellen	4.7k 1.4×	3.4k 1.2×	3.6k 1.4×	938 1.0×	247 0.4×	237	6.6k
X. Allen Li	4.6k 1.3×	4.1k 1.4×	3.6k 1.4×	859 0.9×	278 0.5×	179	7.1k
Simeon Nill	3.2k 0.9×	2.5k 0.9×	2.3k 0.9×	650 0.7×	341 0.6×	173	4.1k
Marc L. Kessler	2.7k 0.8×	2.6k 0.9×	1.9k 0.7×	675 0.7×	215 0.4×	105	4.5k
C. Fiorino	4.6k 1.3×	3.3k 1.1×	4.7k 1.8×	816 0.9×	634 1.1×	323	7.3k
Robert Jeraj	2.6k 0.7×	3.6k 1.2×	2.5k 0.9×	929 1.0×	184 0.3×	232	5.4k
Sanford L. Meeks	4.2k 1.2×	3.1k 1.1×	2.8k 1.1×	1.1k 1.2×	274 0.5×	175	5.5k
Ying Xiao	4.2k 1.2×	3.7k 1.3×	3.4k 1.3×	1.2k 1.3×	281 0.5×	240	6.5k
James M. Galvin	5.3k 1.5×	3.7k 1.3×	4.8k 1.8×	952 1.0×	838 1.5×	155	7.9k

Countries citing papers authored by Todd McNutt

Since Specialization

Citations

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

Fields of papers citing papers by Todd McNutt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd McNutt

This figure shows the co-authorship network connecting the top 25 collaborators of Todd McNutt. A scholar is included among the top collaborators of Todd McNutt 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 Todd McNutt. Todd McNutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Roumeliotis, Michael, et al.. (2025). Primary vaginal cancer treated with high-dose rate brachytherapy and intraprocedural magnetic resonance imaging. Brachytherapy. 24(4). 486–494.

Richardson, Susan, Walter Bosch, Charles S. Mayo, et al.. (2024). Order From Chaos: The Benefits of Standardized Nomenclature in Radiation Oncology. Practical Radiation Oncology. 14(6). 582–589. 1 indexed citations

Huang, Ellen, Reza Farjam, Ian R. Marsh, et al.. (2024). Commissioning and validation of a single photon beam model in RayStation for multiple matched Elekta Linacs. Journal of Applied Clinical Medical Physics. 25(10). e14485–e14485. 1 indexed citations

Jang, Bum‐Sup, et al.. (2024). Hype or Reality: Utility of Large Language Models in Radiation Oncology. International Journal of Radiation Oncology*Biology*Physics. 120(2). e629–e630.

McNutt, Todd, et al.. (2024). Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss. 33. 41–41. 1 indexed citations

Voong, Khinh Ranh, Siyao Li, Chen Hu, et al.. (2024). Routine review of patient-reported outcome data influences radiotherapy care: IMPROVE study results. Radiotherapy and Oncology. 203. 110688–110688.

Hazell, Sarah Z., Wei Fu, Chen Hu, et al.. (2021). Longitudinal Trends of Financial Toxicity in Patients With Lung Cancer: A Prospective Cohort Study. JCO Oncology Practice. 17(8). e1094–e1109. 34 indexed citations

Han, Peijin, Sang Ho Lee, John Haller, et al.. (2021). Improving Early Identification of Significant Weight Loss Using Clinical Decision Support System in Lung Cancer Radiation Therapy. JCO Clinical Cancer Informatics. 5(5). 944–952. 6 indexed citations

Ebert, Martin A., S. Gulliford, Oscar Acosta, et al.. (2021). Spatial descriptions of radiotherapy dose: normal tissue complication models and statistical associations. Physics in Medicine and Biology. 66(12). 12TR01–12TR01. 19 indexed citations

10.

Fu, Wei, Chen Hu, Sarah Z. Hazell, et al.. (2020). Isolated progression of metastatic lung cancer: Clinical outcomes associated with definitive radiotherapy. Cancer. 126(20). 4572–4583. 11 indexed citations

11.

Han, Peijin, Russell K. Hales, Zhi Cheng, et al.. (2020). Exploring the Relationship of Radiation Dose Exposed to the Length of Esophagus and Weight Loss in Patients with Lung Cancer. Practical Radiation Oncology. 10(4). 255–264. 4 indexed citations

12.

Deek, Matthew P., Peijin Han, Carole Fakhry, et al.. (2019). Long Term Toxicity and Oncologic Outcomes of De-Intensified Chemoradiation in Early Stage Oropharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 105(1). S215–S216.

13.

Wright, Jean L., Arti Parekh, Amanda Choflet, et al.. (2019). Adoption of an incident learning system in a regionally expanding academic radiation oncology department. Reports of Practical Oncology & Radiotherapy. 24(4). 338–343. 3 indexed citations

14.

Page, B.R., Peijin Han, Luke Peng, et al.. (2018). Gender Differences in Radiation Therapy Effects in Male and Female Patients With Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 100(5). 1400–1401. 5 indexed citations

15.

Redmond, Kristin J., Haris I. Sair, Stephanie A. Terezakis, et al.. (2018). Association of Neuronal Injury in the Genu and Body of Corpus Callosum After Cranial Irradiation in Children With Impaired Cognitive Control: A Prospective Study. International Journal of Radiation Oncology*Biology*Physics. 101(5). 1234–1242. 29 indexed citations

16.

McNutt, Todd, et al.. (2017). Comparison of Prospectively-Collected Genitourinary and Gastrointestinal Toxicities Between Post-Operative Intensity-Modulated Radiation Therapy and Non-Intensity-Modulated Radiation Therapy Patients. International Journal of Radiation Oncology*Biology*Physics. 99(2). E286–E287. 2 indexed citations

17.

Hui, Xuan, Harry Quon, S.P. Robertson, et al.. (2016). A Risk Prediction Model for Head and Neck Radiation Toxicities: Novel Insights to Reduce the Risk of Head and Neck Radiation-Induced Xerostomia. International Journal of Radiation Oncology*Biology*Physics. 96(2). E686–E686. 4 indexed citations

18.

Bowers, Michael R., S.P. Robertson, Joseph Moore, et al.. (2015). SU‐E‐P‐26: Oncospace: A Shared Radiation Oncology Database System Designed for Personalized Medicine, Decision Support, and Research. Medical Physics. 42(6Part4). 3232–3232. 3 indexed citations

19.

Ford, Eric C., et al.. (2010). A method for optimizing LINAC treatment geometry for volumetric modulated arc therapy of multiple brain metastases. Medical Physics. 37(8). 4146–4154. 58 indexed citations

20.

Wu, Binbin, Francesco Ricchetti, Giuseppe Sanguineti, et al.. (2009). Patient geometry‐driven information retrieval for IMRT treatment plan quality control. Medical Physics. 36(12). 5497–5505. 238 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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