Stefanie Thust

2.0k total citations
48 papers, 1.2k citations indexed

About

Stefanie Thust is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Stefanie Thust has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 22 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Stefanie Thust's work include Glioma Diagnosis and Treatment (25 papers), MRI in cancer diagnosis (16 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Stefanie Thust is often cited by papers focused on Glioma Diagnosis and Treatment (25 papers), MRI in cancer diagnosis (16 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Stefanie Thust collaborates with scholars based in United Kingdom, Germany and Italy. Stefanie Thust's co-authors include Marion Smits, Martin J. van den Bent, Sebastian Brandner, Hans Rolf Jäger, Jeremy Rees, Harpreet Hyare, Tarek Yousry, Sotirios Bisdas, Laura Mancini and Kshitij Mankad and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Stefanie Thust

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefanie Thust United Kingdom 19 704 682 182 133 126 48 1.2k
Arian Lasocki Australia 17 567 0.8× 451 0.7× 192 1.1× 111 0.8× 149 1.2× 60 841
Sohil H. Patel United States 19 786 1.1× 988 1.4× 213 1.2× 175 1.3× 200 1.6× 69 1.6k
Yoon Seong Choi South Korea 22 748 1.1× 1.2k 1.8× 242 1.3× 197 1.5× 246 2.0× 42 1.7k
Bob L. Hou United States 16 433 0.6× 513 0.8× 220 1.2× 97 0.7× 126 1.0× 32 1.1k
Yae Won Park South Korea 27 735 1.0× 977 1.4× 333 1.8× 290 2.2× 324 2.6× 97 1.7k
Marc C. Mabray United States 14 430 0.6× 420 0.6× 115 0.6× 265 2.0× 129 1.0× 33 1.1k
Kazufumi Kikuchi Japan 22 478 0.7× 1.2k 1.8× 173 1.0× 296 2.2× 110 0.9× 88 1.7k
I. Catalaa France 16 326 0.5× 538 0.8× 127 0.7× 197 1.5× 74 0.6× 35 1.0k
Thanh Nguyen Canada 18 478 0.7× 825 1.2× 190 1.0× 225 1.7× 218 1.7× 45 1.3k
Jason Schroeder United States 13 755 1.1× 341 0.5× 295 1.6× 159 1.2× 349 2.8× 36 1.1k

Countries citing papers authored by Stefanie Thust

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Thust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Thust

This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Thust. A scholar is included among the top collaborators of Stefanie Thust 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 Stefanie Thust. Stefanie Thust 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
2.
Horobin, Adele, et al.. (2025). Co-production as the ultimate goal; an incentive or discouragement?. Research Involvement and Engagement. 11(1). 147–147.
3.
Wu, Jiaming, Stefanie Thust, Stephen Wastling, et al.. (2025). Automated Diffusion Analysis for Noninvasive Prediction of Isocitrate Dehydrogenase Genotype in WHO Grade 2–3 Gliomas. American Journal of Neuroradiology. 46(10). 2084–2090.
4.
Anjari, Mustafa, Sebastian Brandner, Naomi Fersht, et al.. (2024). Isocitrate Dehydrogenase 1/2 Wildtype Adult Astrocytoma with WHO Grade 2/3 Histological Features: Molecular Re-Classification, Prognostic Factors, Clinical Outcomes. Biomedicines. 12(4). 901–901. 2 indexed citations
5.
Mankad, Kshitij, Stefanie Thust, Luke Dixon, et al.. (2022). 2021 WHO classification of tumours of the central nervous system: a review for the neuroradiologist. Neuroradiology. 64(10). 1919–1950. 44 indexed citations
6.
Thust, Stefanie, Liana Veneziano, Michael Parkinson, et al.. (2022). Altered pituitary morphology as a sign of benign hereditary chorea caused by TITF1/NKX2.1 mutations. Neurogenetics. 23(2). 91–102. 4 indexed citations
7.
Lasocki, Arian, et al.. (2022). Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review. Cancer Imaging. 22(1). 63–63. 14 indexed citations
8.
Thust, Stefanie, Stephen Wastling, Laura Mancini, et al.. (2021). Regional and Volumetric Parameters for Diffusion-Weighted WHO Grade II and III Glioma Genotyping: A Method Comparison. American Journal of Neuroradiology. 42(3). 441–447. 11 indexed citations
9.
Knight, Katie, et al.. (2020). Fifteen-minute consultation: The toddler’s fracture. Archives of Disease in Childhood Education & Practice. 106(2). 94–99.
10.
Thust, Stefanie, Caroline Micallef, Sachi Okuchi, et al.. (2020). Imaging characteristics of H3 K27M histone-mutant diffuse midline glioma in teenagers and adults. Quantitative Imaging in Medicine and Surgery. 11(1). 43–56. 21 indexed citations
11.
Wastling, Stephen, Sebastian Brandner, Zane Jaunmuktane, et al.. (2020). World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient. Radiology. 296(1). 111–121. 79 indexed citations
12.
Thust, Stefanie, Sotirios Bisdas, Jeremy Rees, et al.. (2018). Apparent diffusion coefficient for molecular subtyping of non-gadolinium-enhancing WHO grade II/III glioma: volumetric segmentation versus two-dimensional region of interest analysis. European Radiology. 28(9). 3779–3788. 55 indexed citations
13.
Bisdas, Sotirios, Haocheng Shen, Stefanie Thust, et al.. (2018). Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study. Scientific Reports. 8(1). 6108–6108. 44 indexed citations
14.
D’Arco, Felice, Patricia O’Hare, Álvaro Lassaletta, et al.. (2018). Volumetric assessment of tumor size changes in pediatric low-grade gliomas: feasibility and comparison with linear measurements. Neuroradiology. 60(4). 427–436. 22 indexed citations
15.
Hyare, Harpreet, Stefanie Thust, & Jeremy Rees. (2017). Advanced MRI Techniques in the Monitoring of Treatment of Gliomas. Current Treatment Options in Neurology. 19(3). 11–11. 44 indexed citations
16.
Thust, Stefanie & Tarek Yousry. (2016). Imaging of skull base tumours. Reports of Practical Oncology & Radiotherapy. 21(4). 304–318. 18 indexed citations
18.
Chandrashekar, H S, et al.. (2016). Venous infarction mimicking a neoplasm in spontaneous intracranial hypotension: an unusual cause of Parinaud's syndrome. Journal of Surgical Case Reports. 2016(3). rjw037–rjw037. 1 indexed citations
19.
Thust, Stefanie, et al.. (2014). Acting on macrocephaly in the neonatal period: an illustrative case of congenital teratoma. BMJ Case Reports. 2014. bcr2013202742–bcr2013202742. 2 indexed citations
20.
Mayer, Dirk, Dirk Bartz, Jan Fischer, et al.. (2004). Hybrid segmentation and virtual bronchoscopy based on CT images1. Academic Radiology. 11(5). 551–565. 35 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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