William H. Nailon

1.4k total citations
38 papers, 782 citations indexed

About

William H. Nailon is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, William H. Nailon has authored 38 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 8 papers in Radiation. Recurrent topics in William H. Nailon's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). William H. Nailon is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). William H. Nailon collaborates with scholars based in United Kingdom, United States and Netherlands. William H. Nailon's co-authors include Stephen McLaughlin, Timothy R. Spencer, M.P. Ramo, Duncan B. McLaren, James W. Ironside, Mike E. Davies, Matthew Bishop, Linda McCardle, Mark Head and Diane Ritchie and has published in prestigious journals such as Circulation, PLoS ONE and Analytical Chemistry.

In The Last Decade

William H. Nailon

35 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William H. Nailon United Kingdom 13 239 195 179 143 94 38 782
Javad Alirezaie Canada 17 429 1.8× 393 2.0× 99 0.6× 306 2.1× 139 1.5× 113 1.1k
Dong Hye Ye United States 17 337 1.4× 248 1.3× 53 0.3× 146 1.0× 112 1.2× 53 787
Alper Güngör Türkiye 11 189 0.8× 236 1.2× 144 0.8× 290 2.0× 102 1.1× 41 726
Xiaoxia Yin Australia 19 170 0.7× 388 2.0× 81 0.5× 229 1.6× 247 2.6× 80 1.2k
Dagan Feng Australia 11 329 1.4× 520 2.7× 38 0.2× 108 0.8× 236 2.5× 33 1.0k
Fahad Shamshad Pakistan 7 301 1.3× 312 1.6× 20 0.1× 109 0.8× 280 3.0× 16 782
Xue Feng United States 19 208 0.9× 715 3.7× 93 0.5× 286 2.0× 285 3.0× 86 1.4k
Federica Caselli Italy 20 180 0.8× 78 0.4× 159 0.9× 940 6.6× 137 1.5× 56 1.3k
Xiaoxiao Liu China 8 181 0.8× 118 0.6× 26 0.1× 71 0.5× 69 0.7× 18 449

Countries citing papers authored by William H. Nailon

Since Specialization
Citations

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

Fields of papers citing papers by William H. Nailon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Nailon. 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 William H. Nailon. The network helps show where William H. Nailon may publish in the future.

Co-authorship network of co-authors of William H. Nailon

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Nailon. A scholar is included among the top collaborators of William H. Nailon 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 William H. Nailon. William H. Nailon 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.
Srinivasan, Devraj, et al.. (2024). Global assessment of swallow function (GASF) following VMAT radiotherapy for head and neck squamous cell carcinoma. Technical Innovations & Patient Support in Radiation Oncology. 32. 100272–100272.
2.
Berger, Thomas, David J. Noble, S. Thomas, et al.. (2023). Sub-regional analysis of the parotid glands: model development for predicting late xerostomia with radiomics features in head and neck cancer patients. Acta Oncologica. 62(2). 166–173. 3 indexed citations
3.
Noble, David J., Thomas Berger, R. Jena, et al.. (2023). Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients. Radiotherapy and Oncology. 183. 109593–109593. 6 indexed citations
4.
Berger, Thomas, David J. Noble, S. Thomas, et al.. (2022). Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features. Physics and Imaging in Radiation Oncology. 24. 95–101. 16 indexed citations
5.
Berger, Thomas, A. Davey, Eliana Vásquez Osorio, et al.. (2022). Gender-related and geographic trends in interactions between radiotherapy professionals on Twitter. Physics and Imaging in Radiation Oncology. 24. 129–135.
6.
Berger, Thomas, David J. Noble, S. Thomas, et al.. (2022). Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia. Physics and Imaging in Radiation Oncology. 25. 100404–100404. 5 indexed citations
7.
Salman, Dahlia, Michael Eddleston, Martin Sýkora, et al.. (2022). Fast and automated biomarker detection in breath samples with machine learning. PLoS ONE. 17(4). e0265399–e0265399. 7 indexed citations
8.
Chen, Dongdong, et al.. (2021). Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Transactions on Medical Imaging. 41(1). 3–13. 58 indexed citations
9.
Kaźmierska, Joanna, Andrew Hope, Emiliano Spezi, et al.. (2020). From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community. Radiotherapy and Oncology. 153. 43–54. 17 indexed citations
10.
Salman, Dahlia, Michael Eddleston, Kareen Darnley, et al.. (2020). Breath markers for therapeutic radiation. Journal of Breath Research. 15(1). 16004–16004. 4 indexed citations
11.
Perelli, Alessandro, et al.. (2018). Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion. Physics in Medicine and Biology. 63(22). 225001–225001. 4 indexed citations
12.
Nailon, William H., et al.. (2018). EPID‐based in vivo dosimetry using Dosimetry Check™: Overview and clinical experience in a 5‐yr study including breast, lung, prostate, and head and neck cancer patients. Journal of Applied Clinical Medical Physics. 20(1). 6–16. 37 indexed citations
13.
Perelli, Alessandro, et al.. (2017). Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source. Physics in Medicine and Biology. 62(22). 8739–8762. 2 indexed citations
14.
Hernández, María del C. Valdés, V́ıctor González-Castro, Francesca M. Chappell, et al.. (2017). Application of Texture Analysis to Study Small Vessel Disease and Blood–Brain Barrier Integrity. Frontiers in Neurology. 8. 327–327. 25 indexed citations
15.
Nailon, William H., et al.. (2011). On the use of computed radiography plates for quality assurance of intensity modulated radiation therapy dose distributions. Medical Physics. 38(2). 632–645. 3 indexed citations
16.
Nailon, William H., et al.. (2008). Characterisation of radiotherapy planning volumes using textural analysis. Acta Oncologica. 47(7). 1303–1308. 11 indexed citations
17.
Nailon, William H., et al.. (2004). Real-time combustion knock processing using a single instruction multiple data automotive PowerPC system-on-a-chip. Asian Control Conference. 1. 296–303. 6 indexed citations
18.
Head, Mark, Diane Ritchie, William H. Nailon, et al.. (2004). Peripheral Tissue Involvement in Sporadic, Iatrogenic, and Variant Creutzfeldt-Jakob Disease. American Journal Of Pathology. 164(1). 143–153. 133 indexed citations
19.
Nailon, William H. & James W. Ironside. (2000). Variant Creutzfeldt-Jakob disease: Immunocytochemical studies and image analysis. Microscopy Research and Technique. 50(1). 2–9. 11 indexed citations
20.
Nailon, William H., et al.. (1996). Can statistical texture analysis of unprocessed intravascular ultrasound (IVUS) signal discriminate red and white thrombi acid plasma. Circulation. 94(8). 3587–3587. 1 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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