Simon Wan
About
Simon Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Oncology.
According to data from OpenAlex, Simon Wan has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Neurology and 14 papers in Oncology. Recurrent topics in Simon Wan's work include Medical Imaging Techniques and Applications (15 papers), Neuroblastoma Research and Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Simon Wan is often cited by papers focused on Medical Imaging Techniques and Applications (15 papers), Neuroblastoma Research and Treatments (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Simon Wan collaborates with scholars based in United Kingdom, United States and Netherlands. Simon Wan's co-authors include Jamshed Bomanji, Ashley M. Groves, Thomas A. Hope, Ken Herrmann, Wolfgang P. Fendler, Matthias Eiber, Uwe Haberkorn, Bernd J. Krause, John J. Sunderland and Steven Cho and has published in prestigious journals such as Clinical Cancer Research, IEEE Access and Acta Biomaterialia.
In The Last Decade
Simon Wan
49 papers receiving 1.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Simon Wan United Kingdom | 19 | 994 | 800 | 265 | 163 | 161 | 54 | 1.7k | ||
| Raghuveer Halkar United States | 23 | 1.1k 1.1× | 987 1.2× | 208 0.8× | 187 1.1× | 284 1.8× | 114 | 2.0k | ||
| Philipp Heusch Germany | 34 | 1.9k 1.9× | 704 0.9× | 261 1.0× | 265 1.6× | 336 2.1× | 83 | 2.7k | ||
| Henrik Petersen Denmark | 23 | 623 0.6× | 528 0.7× | 173 0.7× | 98 0.6× | 282 1.8× | 59 | 1.5k | ||
| Kazuyoshi Suga Japan | 25 | 765 0.8× | 933 1.2× | 244 0.9× | 193 1.2× | 435 2.7× | 145 | 2.0k | ||
| Munenobu Nogami Japan | 28 | 1.3k 1.3× | 1.0k 1.3× | 180 0.7× | 149 0.9× | 148 0.9× | 91 | 2.2k | ||
| Seyed Rasoul Zakavi Iran | 22 | 556 0.6× | 475 0.6× | 312 1.2× | 84 0.5× | 488 3.0× | 153 | 1.7k | ||
| Lothar R. Pilz Germany | 20 | 352 0.4× | 688 0.9× | 413 1.6× | 60 0.4× | 181 1.1× | 69 | 1.3k | ||
| Maria Cristina Marzola Italy | 28 | 973 1.0× | 937 1.2× | 439 1.7× | 86 0.5× | 838 5.2× | 119 | 2.5k | ||
| Jean M. Seely Canada | 24 | 467 0.5× | 1.1k 1.4× | 425 1.6× | 60 0.4× | 267 1.7× | 102 | 2.0k | ||
| Geoffrey Schembri Australia | 24 | 709 0.7× | 730 0.9× | 518 2.0× | 75 0.5× | 234 1.5× | 82 | 1.7k |
Countries citing papers authored by Simon Wan
Since
Specialization
Citations
This map shows the geographic impact of Simon Wan'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 Simon Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Wan more than expected).
Fields of papers citing papers by Simon Wan
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Simon Wan. 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 Simon Wan. The network helps show where Simon Wan may publish in the future.
Co-authorship network of co-authors of Simon Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Wan. A scholar is included among the top collaborators of Simon Wan 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 Simon Wan. Simon Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Gawne, Peter J., Helen E. Bryant, Steven G. DuBois, et al.. (2025). Theranostics for Neuroblastoma: Making Molecular Radiotherapy Work Better. Journal of Nuclear Medicine. 66(4). 490–496.
2.
Ganeshan, Balaji, Simon Wan, Manuel Rodriguez‐Justo, et al.. (2025). Texture analysis of [18F]FDG PET/CT may stratify risk in stage II colorectal cancer – discovery findings. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 1789–1802.
3.
Sahovaler, Axel, M. McGurk, Selvam Thavaraj, et al.. (2024). Incidence and predictive factors for positive non-sentinel lymph nodes in completion neck dissection following a positive sentinel node biopsy in early oral cancer. Oral Oncology. 159. 107081–107081.
4.
Tatsis, Dimitris, Franel Le Grange, Amrita Jay, et al.. (2024). Improving head and neck sarcoma care: The impact of a specialized multidisciplinary team approach on diagnosis and patient outcomes. European Journal of Surgical Oncology. 50(9). 108531–108531.
5.
Haroon, Athar, Simon Wan, Asim Afaq, et al.. (2022). The future of PSMA PET and WB MRI as next-generation imaging tools in prostate cancer. Nature Reviews Urology. 19(8). 475–493.
6.
Gnanasegaran, Gopinath, Kanhaiyalal Agrawal, & Simon Wan. (2022). 18F-Fluorodeoxyglucose-PET-Computerized Tomography and non-Fluorodeoxyglucose PET-Computerized Tomography in Hepatobiliary and Pancreatic Malignancies. PET Clinics. 17(3). 369–388.
7.
Wang, Kaiwen, Elsa Lee, Simon Hallam, et al.. (2022). Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis. European Radiology. 32(4). 2135–2148.
8.
Wan, Simon, et al.. (2021). Single-photon emission computed tomography (SPECT/CT) images of sentinel node distribution in oral cancer. British Journal of Oral and Maxillofacial Surgery. 59(10). 1313–1319.
9.
Atkinson, Charlotte, Balaji Ganeshan, Raymond Endozo, et al.. (2021). Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With Neuroendocrine Cancers Treated With 177Lu-DOTATATE. Frontiers in Oncology. 11. 686235–686235.
10.
Bell, Robert M., Arjun Nair, Leon Menezes, et al.. (2021). A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access. 9. 108873–108888.
11.
Wan, Simon, Laura Davis, Andrew Thornton, et al.. (2020). COVID-19 in the act: incidental 18F-FDG PET/CT findings in asymptomatic patients and those with symptoms not primarily correlated with COVID-19 during the United Kingdom coronavirus lockdown. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 269–281.
12.
Fraioli, Francesco, Maria Lyasheva, Joanna C. Porter, et al.. (2019). Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF). European Journal of Nuclear Medicine and Molecular Imaging. 46(10). 2023–2031.
13.
Fendler, Wolfgang P., Matthias Eiber, Mohsen Beheshti, et al.. (2017). 68Ga-PSMA PET/CT: Joint EANM and SNMMI procedure guideline for prostate cancer imaging: version 1.0. European Journal of Nuclear Medicine and Molecular Imaging. 44(6). 1014–1024.
14.
Wan, Simon, et al.. (2016). Self-assembling peptide hydrogel for intervertebral disc tissue engineering. Acta Biomaterialia. 46. 29–40.
15.
Thielemans, Kris, Brian F. Hutton, Simon Wan, et al.. (2016). Joint PET-MR respiratory motion models for clinical PET motion correction. Physics in Medicine and Biology. 61(17). 6515–6530.
16.
Afaq, Asim, Francesco Fraioli, Harbir Sidhu, et al.. (2016). Comparison of PET/MRI With PET/CT in the Evaluation of Disease Status in Lymphoma. Clinical Nuclear Medicine. 42(1). e1–e7.
17.
Skoura, Evangelia, et al.. (2015). False-Positive 18F-FDG PET/CT Imaging. Clinical Nuclear Medicine. 41(3). e171–e172.
18.
Huibers, Anne, Gert J. de Borst, Simon Wan, et al.. (2015). Non-invasive Carotid Artery Imaging to Identify the Vulnerable Plaque: Current Status and Future Goals. European Journal of Vascular and Endovascular Surgery. 50(5). 563–572.
19.
Berber, Reshid, Johann Henckel, Michael Khoo, et al.. (2014). Clinical Usefulness of SPECT–CT in Patients with an Unexplained Pain in Metal on Metal (MOM) Total Hip Arthroplasty. The Journal of Arthroplasty. 30(4). 687–694.
20.
Win, Thida, Kenneth A. Miles, Sam M. Janes, et al.. (2013). Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non–Small Cell Lung Cancer. Clinical Cancer Research. 19(13). 3591–3599.
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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