J. Lilley

1.5k total citations
56 papers, 889 citations indexed

About

J. Lilley is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Lilley has authored 56 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 28 papers in Radiation and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Lilley's work include Advanced Radiotherapy Techniques (28 papers), Radiation Therapy and Dosimetry (9 papers) and Lung Cancer Diagnosis and Treatment (7 papers). J. Lilley is often cited by papers focused on Advanced Radiotherapy Techniques (28 papers), Radiation Therapy and Dosimetry (9 papers) and Lung Cancer Diagnosis and Treatment (7 papers). J. Lilley collaborates with scholars based in United Kingdom, United States and Sweden. J. Lilley's co-authors include Richard A. Stone, Ronald P. Frigon, Louise Murray, K. Franks, David Sebag‐Montefiore, Ann Henry, Christopher M. Thompson, Vivian P. Cosgrove, P. Dickinson and D. P. Forster and has published in prestigious journals such as Journal of Clinical Investigation, Annals of Internal Medicine and Brain Research.

In The Last Decade

J. Lilley

50 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Lilley United Kingdom 17 316 251 199 173 140 56 889
B. Sarby Sweden 16 181 0.6× 115 0.5× 120 0.6× 88 0.5× 127 0.9× 43 900
Marcelo Tatit Sapienza Brazil 19 224 0.7× 86 0.3× 42 0.2× 354 2.0× 210 1.5× 106 1.1k
J. E. Moulder United States 14 137 0.4× 31 0.1× 90 0.5× 276 1.6× 46 0.3× 18 737
Brian Lee United States 10 188 0.6× 124 0.5× 123 0.6× 54 0.3× 95 0.7× 23 601
Jane Angel Simonsen Denmark 16 175 0.6× 9 0.0× 199 1.0× 260 1.5× 119 0.8× 49 710
Weiguang Zhang China 16 76 0.2× 11 0.0× 85 0.4× 53 0.3× 102 0.7× 53 916
Siroos Mirzaei Austria 16 163 0.5× 36 0.1× 31 0.2× 374 2.2× 107 0.8× 89 834
Akihide Hirayama Japan 21 446 1.4× 49 0.2× 43 0.2× 43 0.2× 228 1.6× 100 1.2k
June Mason Germany 18 158 0.5× 13 0.1× 76 0.4× 30 0.2× 185 1.3× 24 1.0k
Beat J. Meyer Switzerland 14 335 1.1× 17 0.1× 653 3.3× 164 0.9× 492 3.5× 30 1.3k

Countries citing papers authored by J. Lilley

Since Specialization
Citations

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

Fields of papers citing papers by J. Lilley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lilley

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lilley. A scholar is included among the top collaborators of J. Lilley 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 J. Lilley. J. Lilley 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.
Slevin, Finbar, Catherine O’Hara, J. Lilley, et al.. (2025). Dose Accumulation for Pelvic Stereotactic Ablative Radiotherapy Reirradiation. Clinical Oncology. 43. 103861–103861.
2.
Gilbert, Alexandra, et al.. (2025). Deep learning combining imaging, dose and clinical data for predicting bowel toxicity after pelvic radiotherapy. Physics and Imaging in Radiation Oncology. 33. 100710–100710.
3.
4.
Price, James, Sarah Brown, Emma Hall, et al.. (2024). “Why am I still suffering?”: Experience of long-term fatigue and neurocognitive changes in oropharyngeal cancer survivors following (chemo)radiotherapy. Technical Innovations & Patient Support in Radiation Oncology. 30. 100241–100241. 1 indexed citations
5.
Thompson, Christopher M., J. Lilley, Stina Svensson, et al.. (2023). Brain Re-Irradiation Robustly Accounting for Previously Delivered Dose. Cancers. 15(15). 3831–3831. 9 indexed citations
6.
Gilbert, Alexandra, J. Lilley, Moloud Abdar, et al.. (2023). Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. IEEE Journal of Biomedical and Health Informatics. 27(4). 1958–1966. 2 indexed citations
7.
Brown, Sarah, Emma Hall, J. Lilley, et al.. (2023). Neurocognitive function following (chemo)radiotherapy for nasopharyngeal cancer and other head and neck cancers: A systematic review. Radiotherapy and Oncology. 188. 109863–109863. 4 indexed citations
8.
Murray, Louise, Christopher M. Thompson, J. Lilley, et al.. (2023). Treatment plan optimisation for reirradiation. Radiotherapy and Oncology. 182. 109545–109545. 18 indexed citations
9.
Samuel, Robert, J. Lilley, Ann Henry, et al.. (2022). Prognostic factors for patients with anal cancer treated with conformal radiotherapy—a systematic review. BMC Cancer. 22(1). 607–607. 6 indexed citations
10.
Lilley, J., et al.. (2022). Optimising tumour coverage and organ at risk sparing for hypofractionated re-irradiation in glioblastoma. Physics and Imaging in Radiation Oncology. 21. 84–89. 5 indexed citations
11.
Slevin, Finbar, Christopher M. Thompson, R. Speight, et al.. (2021). Ultra hypofractionated extended nodal irradiation using volumetric modulated arc therapy for oligorecurrent pelvic nodal prostate cancer. Medical dosimetry. 46(4). 411–418. 1 indexed citations
12.
Choudhury, Ananya, Robert Samuel, Marianne G. Guren, et al.. (2021). Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study. Radiotherapy and Oncology. 159. 183–189. 17 indexed citations
13.
Sun, Fei, K. Franks, Louise Murray, et al.. (2020). Cardiovascular mortality and morbidity following radical radiotherapy for lung cancer: Is cardiovascular death under-reported?. Lung Cancer. 146. 1–5. 19 indexed citations
14.
15.
Slevin, Finbar, Matthew Beasley, R. Speight, et al.. (2019). Overview of patient preparation strategies to manage internal organ motion during radiotherapy in the pelvis. Journal of Radiotherapy in Practice. 19(2). 182–189. 2 indexed citations
16.
Appelt, Ane, et al.. (2018). Method for Automatic Selection of Parameters in Normal Tissue Complication Probability Modeling. International Journal of Radiation Oncology*Biology*Physics. 101(3). 704–712. 1 indexed citations
17.
Murray, Louise, J. Lilley, M. Hawkins, et al.. (2017). Pelvic re-irradiation using stereotactic ablative radiotherapy (SABR): A systematic review. Radiotherapy and Oncology. 125(2). 213–222. 35 indexed citations
18.
19.
Murray, Louise, Vivian P. Cosgrove, J. Lilley, et al.. (2013). Developing a class solution for Prostate Stereotactic Ablative Body Radiotherapy (SABR) using Volumetric Modulated Arc Therapy (VMAT). Radiotherapy and Oncology. 110(2). 298–302. 18 indexed citations
20.
Smith, David W., Christopher Dean, & J. Lilley. (2011). A practical method of identifying data loss in 4DCT. Radiotherapy and Oncology. 102(3). 393–398. 4 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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