Russell Frood

892 total citations
34 papers, 362 citations indexed

About

Russell Frood is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Russell Frood has authored 34 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Russell Frood's work include Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (11 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Russell Frood is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (11 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Russell Frood collaborates with scholars based in United Kingdom, Netherlands and Belgium. Russell Frood's co-authors include Andrew Scarsbrook, Charalampos Tsoumpas, Garry McDermott, Chirag Patel, Alejandro F. Frangi, Fergus Gleeson, Robin Prestwich, Jim Zhong, Stuart Currie and Peter Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ Open and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Russell Frood

30 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell Frood United Kingdom 12 252 134 82 63 45 34 362
Andrés Kohan Canada 10 288 1.1× 111 0.8× 26 0.3× 64 1.0× 66 1.5× 48 417
Shunya Sunami Japan 10 390 1.5× 99 0.7× 63 0.8× 40 0.6× 28 0.6× 18 512
Julian M.M. Rogasch Germany 15 360 1.4× 217 1.6× 35 0.4× 69 1.1× 70 1.6× 63 570
Edward J. Somer United Kingdom 8 256 1.0× 112 0.8× 180 2.2× 29 0.5× 90 2.0× 13 432
Garry McDermott United Kingdom 9 254 1.0× 88 0.7× 36 0.4× 125 2.0× 31 0.7× 14 394
Cristina Piva Italy 12 98 0.4× 104 0.8× 136 1.7× 48 0.8× 68 1.5× 24 318
Patsuree Cheebsumon Netherlands 7 407 1.6× 144 1.1× 26 0.3× 25 0.4× 32 0.7× 9 454
Nobuki Imano Japan 12 175 0.7× 188 1.4× 25 0.3× 139 2.2× 67 1.5× 70 378
Emma D’Ippolito Italy 10 197 0.8× 123 0.9× 13 0.2× 73 1.2× 97 2.2× 23 341
Antoine Iannessi France 12 150 0.6× 104 0.8× 52 0.6× 126 2.0× 77 1.7× 46 371

Countries citing papers authored by Russell Frood

Since Specialization
Citations

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

Fields of papers citing papers by Russell Frood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Frood

This figure shows the co-authorship network connecting the top 25 collaborators of Russell Frood. A scholar is included among the top collaborators of Russell Frood 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 Russell Frood. Russell Frood 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.
Ravikumar, Nishant, Russell Frood, Alejandro F. Frangi, et al.. (2025). Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate. Algorithms. 18(2). 86–86.
2.
Cairns, James, Russell Frood, Chirag Patel, & Andrew Scarsbrook. (2025). The Role of AI in Lymphoma: An Update. Seminars in Nuclear Medicine. 55(3). 377–386. 3 indexed citations
3.
Pennycook, S. J., Russell Frood, Andrew D. Beggs, et al.. (2025). Colon cancer biology and treatment in the era of precision oncology: A primer for Radiologists. European Journal of Radiology. 185. 112000–112000.
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Frood, Russell, Brad Miles, Naomi Brooks, et al.. (2024). Comparative effectiveness of standard vs. AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation. SHILAP Revista de lepidopterología. 3. 1327186–1327186. 2 indexed citations
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Clark, Matthew D., et al.. (2024). Automated extraction of body composition metrics from abdominal CT or MR imaging: A scoping review. European Journal of Radiology. 181. 111764–111764. 3 indexed citations
10.
Currie, Stuart, Kavi Fatania, Russell Frood, et al.. (2023). Imaging Spectrum of the Developing Glioblastoma: A Cross-Sectional Observation Study. Current Oncology. 30(7). 6682–6698. 4 indexed citations
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Scarsbrook, Andrew, Nishant Ravikumar, Russell Frood, et al.. (2023). An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images. Biomolecules. 13(2). 343–343. 15 indexed citations
13.
Frood, Russell, Matthew Clark, Cathy Burton, et al.. (2022). Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma. Cancers. 14(7). 1711–1711. 20 indexed citations
14.
Frood, Russell, et al.. (2022). Accuracy of Response Assessment FDG PET-CT Post (Chemo)Radiotherapy in HPV Negative Oropharynx Squamous Cell Carcinoma. Cancers. 14(19). 4680–4680. 1 indexed citations
15.
Fatania, Kavi, Russell Frood, Garry McDermott, et al.. (2022). Exploratory Analysis of Serial 18F-fluciclovine PET-CT and Multiparametric MRI during Chemoradiation for Glioblastoma. Cancers. 14(14). 3485–3485. 3 indexed citations
16.
Scarsbrook, Andrew, et al.. (2022). A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET–CT images: Initial analysis. Journal of Nuclear Cardiology. 29(6). 3315–3331. 10 indexed citations
17.
Frood, Russell, Christopher Burton, Charalampos Tsoumpas, et al.. (2021). Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review. European Journal of Nuclear Medicine and Molecular Imaging. 48(10). 3198–3220. 51 indexed citations
18.
Zhong, Jim, Russell Frood, Peter Brown, et al.. (2020). Machine learning-based FDG PET-CT radiomics for outcome prediction in larynx and hypopharynx squamous cell carcinoma. Clinical Radiology. 76(1). 78.e9–78.e17. 35 indexed citations
19.
Frood, Russell, Shishir Karthik, Saeed Mirsadraee, et al.. (2020). Bronchial Artery Embolisation for Massive Haemoptysis: Immediate and Long-Term Outcomes—A Retrospective Study. Pulmonary Therapy. 6(1). 107–117. 17 indexed citations
20.
Miller, Christopher, Russell Frood, Teik Choon See, & Christopher Hammond. (2019). British Society of Interventional Radiology Iliac Angioplasty and Stent Registry: fourth report on an additional 8,294 procedures. Clinical Radiology. 74(6). 429–434. 3 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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