Shonit Punwani

14.6k total citations · 2 hit papers
196 papers, 6.1k citations indexed

About

Shonit Punwani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shonit Punwani has authored 196 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Radiology, Nuclear Medicine and Imaging, 93 papers in Pulmonary and Respiratory Medicine and 24 papers in Surgery. Recurrent topics in Shonit Punwani's work include Prostate Cancer Diagnosis and Treatment (79 papers), MRI in cancer diagnosis (68 papers) and Radiomics and Machine Learning in Medical Imaging (61 papers). Shonit Punwani is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (79 papers), MRI in cancer diagnosis (68 papers) and Radiomics and Machine Learning in Medical Imaging (61 papers). Shonit Punwani collaborates with scholars based in United Kingdom, United States and Italy. Shonit Punwani's co-authors include Stuart A. Taylor, Mark Emberton, Hashim U. Ahmed, Steve Halligan, Clare Allen, David Atkinson, Alex Kirkham, Alex Freeman, Caroline M. Moore and Alan Bainbridge and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shonit Punwani

191 papers receiving 6.1k citations

Hit Papers

Magnetic Resonance Imaging for the Detection, Localisatio... 2010 2026 2015 2020 2010 2020 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
Shonit Punwani United Kingdom 42 3.0k 2.7k 1.0k 877 779 196 6.1k
Alain Rahmouni France 45 2.8k 0.9× 1.2k 0.4× 1.4k 1.4× 461 0.5× 268 0.3× 201 6.9k
Maria Assunta Cova Italy 35 1.6k 0.5× 1.3k 0.5× 922 0.9× 323 0.4× 272 0.3× 199 4.3k
Steven S. Raman United States 51 3.1k 1.0× 4.4k 1.6× 2.0k 2.0× 984 1.1× 227 0.3× 268 9.5k
Lorenzo Bonomo Italy 45 2.5k 0.8× 1.7k 0.6× 1.9k 1.9× 568 0.6× 261 0.3× 235 6.9k
Iván Pedrosa United States 44 2.9k 1.0× 3.7k 1.3× 1.6k 1.6× 397 0.5× 173 0.2× 207 7.0k
Giovanni Simonetti Italy 46 2.3k 0.8× 2.0k 0.7× 2.8k 2.8× 288 0.3× 224 0.3× 317 7.1k
Ants Toi Canada 49 991 0.3× 3.6k 1.3× 1.5k 1.5× 827 0.9× 810 1.0× 225 8.6k
Christian Herold Austria 44 1.9k 0.7× 2.8k 1.0× 1.5k 1.5× 498 0.6× 96 0.1× 218 6.4k
Stefan Feuerbach Germany 37 1.3k 0.4× 1.7k 0.6× 2.1k 2.0× 218 0.2× 495 0.6× 186 4.7k
Giorgio Treglia Switzerland 48 2.4k 0.8× 2.3k 0.8× 2.7k 2.7× 453 0.5× 261 0.3× 459 8.4k

Countries citing papers authored by Shonit Punwani

Since Specialization
Citations

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

Fields of papers citing papers by Shonit Punwani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shonit Punwani

This figure shows the co-authorship network connecting the top 25 collaborators of Shonit Punwani. A scholar is included among the top collaborators of Shonit Punwani 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 Shonit Punwani. Shonit Punwani 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.
Wen, Yan, Yipeng Hu, Qianye Yang, et al.. (2025). A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI. Physics in Medicine and Biology. 70(8). 85020–85020.
2.
Schoots, Ivo G., Masoom A. Haider, Shonit Punwani, & Anwar R. Padhani. (2025). MRI in Prostate Cancer Screening: A Review and Recommendations, From the AJR Special Series on Screening. American Journal of Roentgenology. 225(3). e2432588–e2432588. 7 indexed citations
3.
Attard, Gerhardt, Shonit Punwani, Francesco Giganti, et al.. (2024). The RECONCILE study protocol: Exploiting image-based risk stratification in early prostate cancer to discriminate progressors from non-progressors (RECONCILE). PLoS ONE. 19(10). e0295994–e0295994. 1 indexed citations
5.
Singh, Saurabh, Francesco Giganti, Louise Dickinson, et al.. (2023). Prostate MR image quality of apparent diffusion coefficient maps versus fractional intracellular volume maps from VERDICT MRI using the PI-QUAL score and a dedicated Likert scale for artefacts. European Journal of Radiology. 168. 111109–111109. 1 indexed citations
6.
Dickinson, Louise, Alex Kirkham, Shonit Punwani, et al.. (2023). Picture Perfect: The Status of Image Quality in Prostate MRI. Journal of Magnetic Resonance Imaging. 59(6). 1930–1952. 12 indexed citations
7.
Valindria, Vanya V., et al.. (2021). Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ORCA Online Research @Cardiff (Cardiff University). 50–54. 1 indexed citations
8.
Singh, Saurabh, Caroline M. Moore, Shonit Punwani, Anita Mitra, & Steve Bandula. (2021). Long-term biopsy outcomes in prostate cancer patients treated with external beam radiotherapy: a systematic review and meta-analysis. Prostate Cancer and Prostatic Diseases. 24(3). 612–622. 6 indexed citations
9.
Sathianathen, Niranjan, Altan Omer, Eli Harriss, et al.. (2020). Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in the Detection of Clinically Significant Prostate Cancer in the Prostate Imaging Reporting and Data System Era: A Systematic Review and Meta-analysis. European Urology. 78(3). 402–414. 212 indexed citations breakdown →
10.
Punwani, Shonit, et al.. (2019). High Repeatability of Quantitative Susceptibility Mapping (QSM) in the Head and Neck With a View to Detecting Hypoxic Cancer Sites. UCL Discovery (University College London). 1 indexed citations
11.
Bailey, Colleen, Roger Bourne, Bernard Siow, et al.. (2019). VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment. NMR in Biomedicine. 32(5). e4073–e4073. 22 indexed citations
12.
Bass, Edward, Clément Orczyk, Alistair Grey, et al.. (2019). Targeted biopsy of the prostate: does this result in improvement in detection of high‐grade cancer or the occurrence of the Will Rogers phenomenon?. British Journal of Urology. 124(4). 643–648. 13 indexed citations
13.
Punwani, Shonit, et al.. (2018). Fat Correction of MRI Phase Images for Accurate Susceptibility Mapping in the Head and Neck. UCL Discovery (University College London). 2 indexed citations
14.
Kasivisvanathan, Veeru, et al.. (2017). Management of Radiologically Indeterminate Magnetic Resonance Imaging Signals in Men at Risk of Prostate Cancer. European Urology Focus. 5(1). 62–68. 11 indexed citations
15.
Treibel, Thomas A., Steve Bandula, Marianna Fontana, et al.. (2015). Extracellular volume quantification by dynamic equilibrium cardiac computed tomography in cardiac amyloidosis. Journal of cardiovascular computed tomography. 9(6). 585–592. 117 indexed citations
16.
Δικαίος, Νικόλαος, Mohamed Abd-Alazeez, Harbir Sidhu, et al.. (2015). Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI. European Radiology. 25(9). 2727–2737. 29 indexed citations
17.
Bandula, Steve, Tarig Magdeldin, Nicola Stevens, et al.. (2015). Initial validation of equilibrium contrast imaging for extracellular volume quantification using a three‐dimensional engineered tissue model. Journal of Magnetic Resonance Imaging. 43(5). 1224–1229. 1 indexed citations
18.
Panagiotaki, Eleftheria, Rachel W. Chan, Νικόλαος Δικαίος, et al.. (2014). Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic Resonance Imaging. Investigative Radiology. 50(4). 218–227. 125 indexed citations
19.
Punwani, Shonit, et al.. (2010). Diagnostic and therapeutic impact of MR enterography in Crohn’s disease: a prospective non-randomised study. UCL Discovery (University College London). 1 indexed citations
20.
Clemence, Matthew, John S. Thornton, Juliet Penrice, et al.. (1996). 31P MRS and quantitative diffusion and T2 MRI show no cerebroprotective effects of intravenous MgSO4 after severe transient hypoxia-ischaemia in the neonatal piglet.. UCL Discovery (University College London). 2 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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