Samuel J. Withey

702 total citations
22 papers, 345 citations indexed

About

Samuel J. Withey is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Samuel J. Withey has authored 22 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Samuel J. Withey's work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Samuel J. Withey is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Samuel J. Withey collaborates with scholars based in United Kingdom, United States and Netherlands. Samuel J. Withey's co-authors include Vicky Goh, Giovanni Montana, Emanuele Pesce, Louise Izatt, Audrey Jacques, Valerie Lewington, Rupert Obholzer, Catherine Horsfield, Derfel ap Dafydd and Paul Carroll and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Radiographics.

In The Last Decade

Samuel J. Withey

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel J. Withey United Kingdom 5 237 115 69 69 47 22 345
Sreenivasa Raju Kalidindi United Kingdom 4 155 0.7× 64 0.6× 61 0.9× 58 0.8× 27 0.6× 4 237
Yura Ahn South Korea 10 163 0.7× 107 0.9× 42 0.6× 27 0.4× 47 1.0× 51 353
Carsten Ammitzbøl Lauridsen Denmark 10 264 1.1× 149 1.3× 31 0.4× 102 1.5× 31 0.7× 25 369
Youmin Guo China 11 524 2.2× 73 0.6× 41 0.6× 80 1.2× 28 0.6× 33 600
Reza Reiazi Iran 13 298 1.3× 97 0.8× 25 0.4× 111 1.6× 24 0.5× 36 399
Palmi Shah United States 8 230 1.0× 113 1.0× 43 0.6× 113 1.6× 20 0.4× 30 406
Ming‐De Li China 10 121 0.5× 31 0.3× 44 0.6× 46 0.7× 31 0.7× 28 228
Yongsik Sim South Korea 8 181 0.8× 99 0.9× 49 0.7× 79 1.1× 16 0.3× 18 274
Reabal Najjar Australia 4 215 0.9× 50 0.4× 162 2.3× 80 1.2× 32 0.7× 6 390
Guillaume Chabin United States 7 240 1.0× 118 1.0× 36 0.5× 65 0.9× 11 0.2× 11 297

Countries citing papers authored by Samuel J. Withey

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J. Withey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Withey

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Withey. A scholar is included among the top collaborators of Samuel J. Withey 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 Samuel J. Withey. Samuel J. Withey 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.
2.
Robinson, Elizabeth, Netty Kinsella, Derfel ap Dafydd, et al.. (2025). Prostate Specific Antigen Density and Clinically‐Significant Prostate Cancer: The Influence of Prostatic Volume. The Prostate. 85(8). 784–791. 3 indexed citations
3.
Woo, Sungmin, Samuel J. Withey, Roberto García‐Figueiras, et al.. (2025). ESUR: Opportunities for PSMA-PET/CT and whole-body MRI in advanced prostate cancer. European Radiology.
4.
Almeida, José Guilherme de, Christina Messiou, Samuel J. Withey, et al.. (2025). Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology. European Radiology. 35(11). 6828–6841. 2 indexed citations
5.
Woo, Sungmin, Fredrik Jäderling, Stephan Ursprung, et al.. (2025). Radiological T-staging in prostate Cancer: Towards a universal MRI-based scoring system. European Journal of Radiology. 191. 112363–112363. 1 indexed citations
6.
Withey, Samuel J., Eva Serrão, Yuki Arita, et al.. (2025). Hereditary syndromes and RCC: what radiologists need to know. Abdominal Radiology.
7.
Withey, Samuel J., Douglas Brand, Andrew Loblaw, et al.. (2024). Developing and validating a simple urethra surrogate model to facilitate dosimetric analysis to predict genitourinary toxicity. Clinical and Translational Radiation Oncology. 46. 100769–100769. 3 indexed citations
8.
Dafydd, Derfel ap, Jessica Gough, Samuel J. Withey, et al.. (2024). Response Evaluation Criteria in Gastrointestinal and Abdominal Cancers: Which to Use and How to Measure. Radiographics. 44(5). e230047–e230047. 2 indexed citations
9.
10.
Johnston, Edward W., et al.. (2024). Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations. Cancer Imaging. 24(1). 145–145. 1 indexed citations
11.
Withey, Samuel J., Kasia Owczarczyk, Mariusz Grzeda, et al.. (2023). Association of dynamic contrast-enhanced MRI and 18F-Fluorodeoxyglucose PET/CT parameters with neoadjuvant therapy response and survival in esophagogastric cancer. European Journal of Surgical Oncology. 49(10). 106934–106934. 1 indexed citations
12.
Hak, Charleen Chan Wah, Svetlana Balyasnikova, Samuel J. Withey, et al.. (2023). Radiological Biomarkers in MRI directed Rectal Cancer Radiotherapy Volume Delineation. Cancers. 15(21). 5176–5176. 1 indexed citations
13.
Withey, Samuel J., Davide Prezzi, Giles Rottenberg, et al.. (2022). Bladder paragangliomas: a pictorial review. Abdominal Radiology. 47(4). 1414–1424. 9 indexed citations
14.
Withey, Samuel J., et al.. (2021). Ureteric Stone-Related Escherichia coli Bacteraemia Associated with Spondylodiscitis. SHILAP Revista de lepidopterología. 1(4). 198–201. 1 indexed citations
15.
Withey, Samuel J., Hema Verma, & Davide Prezzi. (2020). Multimodality Assessment of Cystic Renal Masses. Seminars in Ultrasound CT and MRI. 41(4). 334–343.
16.
Withey, Samuel J., Catherine Horsfield, & Davide Prezzi. (2020). Multiparametric Ultrasound of Nonpalpable Focal Testicular Lesions. Seminars in Ultrasound CT and MRI. 41(4). 402–408. 2 indexed citations
17.
Withey, Samuel J., et al.. (2019). Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks. Radiology. 291(1). 196–202. 194 indexed citations
18.
Pesce, Emanuele, et al.. (2019). Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Analysis. 53. 26–38. 86 indexed citations
19.
Withey, Samuel J., et al.. (2019). Imaging Features of Succinate Dehydrogenase–deficient Pheochromocytoma-Paraganglioma Syndromes. Radiographics. 39(5). 1393–1410. 28 indexed citations
20.
Withey, Samuel J., Joanna Gariani, Davide Prezzi, et al.. (2018). Is there a role for perfusion imaging in assessing treatment response following ablative therapy of small renal masses—A systematic review. European Journal of Radiology Open. 5. 102–107.

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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