Lois Holloway

5.9k total citations · 2 hit papers
260 papers, 4.1k citations indexed

About

Lois Holloway is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lois Holloway has authored 260 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Radiology, Nuclear Medicine and Imaging, 187 papers in Radiation and 127 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lois Holloway's work include Advanced Radiotherapy Techniques (186 papers), Medical Imaging Techniques and Applications (69 papers) and Radiomics and Machine Learning in Medical Imaging (62 papers). Lois Holloway is often cited by papers focused on Advanced Radiotherapy Techniques (186 papers), Medical Imaging Techniques and Applications (69 papers) and Radiomics and Machine Learning in Medical Imaging (62 papers). Lois Holloway collaborates with scholars based in Australia, United States and United Kingdom. Lois Holloway's co-authors include Shalini Vinod, Michael Jameson, Jason Dowling, Peter Metcalfe, Gary Liney, Phillip Chlap, Myo Min, Annette Haworth, Hang Min and David Thwaites and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Lois Holloway

250 papers receiving 4.1k citations

Hit Papers

A review of medical image data augmen... 2016 2026 2019 2022 2021 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lois Holloway Australia 28 2.6k 2.2k 1.5k 623 448 260 4.1k
Marc L. Kessler United States 42 2.6k 1.0× 2.7k 1.2× 1.9k 1.3× 675 1.1× 136 0.3× 105 4.5k
Weiguo Lu United States 28 2.3k 0.9× 2.5k 1.1× 1.4k 0.9× 745 1.2× 215 0.5× 132 3.2k
Dan Ruan United States 32 1.8k 0.7× 1.9k 0.8× 1.4k 1.0× 576 0.9× 133 0.3× 193 3.2k
Pretesh Patel United States 33 1.4k 0.5× 949 0.4× 1.3k 0.9× 636 1.0× 274 0.6× 180 3.1k
Geoffrey Zhang United States 28 2.3k 0.9× 1.5k 0.7× 1.5k 1.0× 825 1.3× 236 0.5× 100 3.1k
Ruijiang Li United States 43 3.1k 1.2× 995 0.5× 1.7k 1.1× 931 1.5× 720 1.6× 153 5.3k
Ke Sheng United States 40 2.7k 1.0× 3.0k 1.4× 2.6k 1.7× 719 1.2× 109 0.2× 276 5.5k
Todd McNutt United States 41 2.9k 1.1× 3.5k 1.6× 2.7k 1.8× 907 1.5× 154 0.3× 215 5.4k
Daniel L. McShan United States 43 2.5k 0.9× 3.4k 1.5× 2.4k 1.6× 727 1.2× 94 0.2× 128 4.5k
Annette Haworth Australia 28 1.4k 0.5× 1.5k 0.7× 1.4k 0.9× 387 0.6× 230 0.5× 143 2.7k

Countries citing papers authored by Lois Holloway

Since Specialization
Citations

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

Fields of papers citing papers by Lois Holloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lois Holloway

This figure shows the co-authorship network connecting the top 25 collaborators of Lois Holloway. A scholar is included among the top collaborators of Lois Holloway 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 Lois Holloway. Lois Holloway 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.
Wang, Yufeng, Niluja Thiruthaneeswaran, Lois Holloway, et al.. (2025). Longitudinal quantitative MRI in prostate cancer after radiation therapy with and without androgen deprivation therapy. Magnetic Resonance Imaging. 122. 110431–110431.
2.
Chlap, Phillip, et al.. (2024). PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data. SoftwareX. 29. 102010–102010. 1 indexed citations
3.
Huang, Xiaoshui, Matthew Field, Shalini Vinod, et al.. (2024). Radiotherapy protocol compliance in routine clinical practice for patients with stages I–III non‐small‐cell lung cancer. Journal of Medical Imaging and Radiation Oncology. 68(6). 729–739. 1 indexed citations
4.
Haidar, Ali, Matthew Field, Vikneswary Batumalai, et al.. (2023). Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach. Cancers. 15(3). 564–564. 4 indexed citations
5.
Jelen, Urszula, et al.. (2023). ACPSEM position paper: dosimetry for magnetic resonance imaging linear accelerators. Physical and Engineering Sciences in Medicine. 46(1). 1–17. 6 indexed citations
6.
Zukauskaite, Ruta, Christian Rønn Hansen, Michael Jameson, et al.. (2022). Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients. Clinical and Translational Radiation Oncology. 36. 121–126. 12 indexed citations
8.
Field, Matthew, Shalini Vinod, Noel J. Aherne, et al.. (2021). Implementation of the Australian Computer‐Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning. Journal of Medical Imaging and Radiation Oncology. 65(5). 627–636. 16 indexed citations
9.
Denham, James W., Angel Kennedy, Annette Haworth, et al.. (2020). Relationships between rectal and perirectal doses and rectal bleeding or tenesmus in pooled voxel-based analysis of 3 randomised phase III trials. Radiotherapy and Oncology. 150. 281–292. 3 indexed citations
10.
Brown, E. Sherwood, Karen Lim, Miriam M. Boxer, et al.. (2020). The effect of imaging modality (magnetic resonance imaging vs. computed tomography) and patient position (supine vs. prone) on target and organ at risk doses in partial breast irradiation. Journal of Medical Radiation Sciences. 68(2). 157–166. 3 indexed citations
11.
Holloway, Lois, et al.. (2019). 4D Monte Carlo dose calculations for pre-treatment quality assurance of VMAT SBRT: a phantom-based feasibility study. Physics in Medicine and Biology. 64(21). 21NT01–21NT01. 2 indexed citations
12.
Li, Enbang, et al.. (2019). First measurements with a plastic scintillation dosimeter at the Australian MRI-LINAC. Physics in Medicine and Biology. 64(17). 175015–175015. 16 indexed citations
13.
Ebert, Martin A., et al.. (2018). EP-1614: Inter-observer contouring variation of multiple pelvic structures on CT and MR for prostate cancer. Radiotherapy and Oncology. 127. S869–S870.
15.
Vial, Philip, et al.. (2017). Sensitivity evaluation of two commercial dosimeters in detecting Helical TomoTherapy treatment delivery errors. Physica Medica. 37. 68–74. 6 indexed citations
16.
Goozée, Gary, et al.. (2017). The Australian MRI-Linac Program: measuring profiles and PDD in a horizontal beam. Journal of Physics Conference Series. 777. 12035–12035. 4 indexed citations
17.
Walker, Amy, Peter Metcalfe, Gary Liney, et al.. (2016). MRI geometric distortion: Impact on tangential whole‐breast IMRT. Journal of Applied Clinical Medical Physics. 17(5). 7–19. 24 indexed citations
18.
19.
Holloway, Lois, et al.. (2014). Dose calibration of EPIDs for segmented IMRT dosimetry. Journal of Applied Clinical Medical Physics. 15(6). 103–118. 10 indexed citations
20.
Bailey, Michael, et al.. (2006). Investigation into the impact of couch sag on delivered dose. Australasian Physical & Engineering Sciences in Medicine. 29(3). 241–250. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026