Harriet C. Thoeny

17.8k total citations · 5 hit papers
103 papers, 12.3k citations indexed

About

Harriet C. Thoeny is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Harriet C. Thoeny has authored 103 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Pulmonary and Respiratory Medicine and 25 papers in Surgery. Recurrent topics in Harriet C. Thoeny's work include MRI in cancer diagnosis (57 papers), Prostate Cancer Diagnosis and Treatment (23 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Harriet C. Thoeny is often cited by papers focused on MRI in cancer diagnosis (57 papers), Prostate Cancer Diagnosis and Treatment (23 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Harriet C. Thoeny collaborates with scholars based in Switzerland, Belgium and United States. Harriet C. Thoeny's co-authors include Frederik De Keyzer, Peter L. Choyke, Jelle O. Barentsz, Masoom A. Haider, Clare M. Tempany, F. Cornud, Jeffrey C. Weinreb, Katarzyna J. Macura, Daniel Margolis and Brian D. Ross and has published in prestigious journals such as The Lancet, Radiology and The Journal of Urology.

In The Last Decade

Harriet C. Thoeny

101 papers receiving 12.2k citations

Hit Papers

PI-RADS Prostate Imaging – Reporting and Data System: 20... 2009 2026 2014 2020 2015 2009 2019 2015 2022 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2
    2015 2.2k citations Jeffrey C. Weinreb, Jelle O. Barentsz et al. European Urology profile →
  2. Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations
    2009 1.6k citations Anwar R. Padhani, Harriet C. Thoeny et al. profile →
  3. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2
    2019 1.5k citations Barış Türkbey, Andrew B. Rosenkrantz et al. European Urology profile →
  4. Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature
    2015 613 citations Mark Emberton, Gianluca Giannarini et al. European Urology profile →
  5. Current best practice for bladder cancer: a narrative review of diagnostics and treatments
    2022 233 citations Harriet C. Thoeny et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harriet C. Thoeny Switzerland 47 7.3k 5.9k 2.3k 1.9k 922 103 12.3k
Gerald Antoch Germany 60 8.1k 1.1× 4.6k 0.8× 2.3k 1.0× 1.2k 0.7× 1.9k 2.1× 496 14.0k
Neil M. Rofsky United States 58 6.2k 0.9× 4.0k 0.7× 2.5k 1.1× 478 0.3× 933 1.0× 238 11.1k
Ferdinand Frauscher Austria 47 1.5k 0.2× 3.0k 0.5× 1.3k 0.6× 1.4k 0.8× 188 0.2× 181 5.7k
Mukesh G. Harisinghani United States 51 2.5k 0.3× 2.7k 0.5× 3.1k 1.3× 734 0.4× 913 1.0× 271 8.5k
Jeff M. Michalski United States 64 4.8k 0.7× 11.8k 2.0× 2.2k 1.0× 1.1k 0.6× 1.9k 2.0× 373 15.7k
Oğuz Akın United States 48 3.2k 0.4× 4.8k 0.8× 990 0.4× 1.4k 0.8× 540 0.6× 196 6.9k
Bachir Taouli United States 63 8.7k 1.2× 2.1k 0.4× 2.1k 0.9× 483 0.3× 1.3k 1.4× 249 14.2k
Hebert Alberto Vargas United States 49 3.6k 0.5× 4.2k 0.7× 1.6k 0.7× 852 0.5× 1.1k 1.2× 211 7.8k
Evan S. Siegelman United States 54 2.1k 0.3× 1.6k 0.3× 3.5k 1.5× 783 0.4× 708 0.8× 173 8.7k
Dow‐Mu Koh United Kingdom 51 9.4k 1.3× 2.4k 0.4× 2.0k 0.9× 427 0.2× 1.9k 2.1× 268 13.0k

Countries citing papers authored by Harriet C. Thoeny

Since Specialization
Citations

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

Fields of papers citing papers by Harriet C. Thoeny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harriet C. Thoeny. 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 Harriet C. Thoeny. The network helps show where Harriet C. Thoeny may publish in the future.

Co-authorship network of co-authors of Harriet C. Thoeny

This figure shows the co-authorship network connecting the top 25 collaborators of Harriet C. Thoeny. A scholar is included among the top collaborators of Harriet C. Thoeny 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 Harriet C. Thoeny. Harriet C. Thoeny 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.
Barbieri, Sebastiano, et al.. (2025). Acquisition-independent deep learning for quantitative MRI parameter estimation using neural controlled differential equations. Medical Image Analysis. 107(Pt A). 103768–103768.
3.
Furrer, Marc A., Nathan Papa, Beat Roth, et al.. (2021). A longitudinal study evaluating interim assessment of neoadjuvant chemotherapy for bladder cancer. British Journal of Urology. 130(3). 306–313. 5 indexed citations
4.
Asbach, Patrick, Matthias Haas, Minerva Becker, et al.. (2021). Correction to: Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer. European Radiology. 31(9). 7217–7217. 5 indexed citations
5.
Asbach, Patrick, Matthias Haas, Minerva Becker, et al.. (2021). Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer. European Radiology. 31(8). 6116–6124. 95 indexed citations
6.
Stabile, Armando, Elio Mazzone, Giuseppe Ottone Cirulli, et al.. (2020). Association Between Multiparametric Magnetic Resonance Imaging of the Prostate and Oncological Outcomes after Primary Treatment for Prostate Cancer: A Systematic Review and Meta-analysis. European Urology Oncology. 4(4). 519–528. 14 indexed citations
7.
Padhani, Anwar R., Jelle O. Barentsz, Geert Villeirs, et al.. (2019). PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway. Radiology. 292(2). 464–474. 169 indexed citations
8.
Barbieri, Sebastiano, Oliver J. Gurney‐Champion, Remy Klaassen, & Harriet C. Thoeny. (2019). Deep learning how to fit an intravoxel incoherent motion model to diffusion‐weighted MRI. Magnetic Resonance in Medicine. 83(1). 312–321. 90 indexed citations
9.
Maurer, Martin, et al.. (2018). Diffusion-Weighted Genitourinary Imaging. Urologic Clinics of North America. 45(3). 407–425. 5 indexed citations
10.
Thoeny, Harriet C., et al.. (2016). Cross-sectional imaging in cancers of the head and neck: how we review and report. Cancer Imaging. 16(1). 20–20. 40 indexed citations
11.
Thoeny, Harriet C., Johannes M. Froehlich, Maria Triantafyllou, et al.. (2014). Metastases in Normal-sized Pelvic Lymph Nodes: Detection with Diffusion-weighted MR Imaging. Radiology. 273(1). 125–135. 150 indexed citations
12.
Vermathen, Peter, Tobias Binser, Chris Boesch, Ute Eisenberger, & Harriet C. Thoeny. (2011). Three‐year follow‐up of human transplanted kidneys by diffusion‐weighted MRI and blood oxygenation level‐dependent imaging. Journal of Magnetic Resonance Imaging. 35(5). 1133–1138. 40 indexed citations
13.
Giannarini, Gianluca, Daniel P. Nguyen, George N. Thalmann, & Harriet C. Thoeny. (2011). Diffusion-Weighted Magnetic Resonance Imaging Detects Local Recurrence After Radical Prostatectomy: Initial Experience. European Urology. 61(3). 616–620. 25 indexed citations
14.
Giannarini, Gianluca, et al.. (2010). Do Patients Benefit from Routine Follow-up to Detect Recurrences After Radical Cystectomy and Ileal Orthotopic Bladder Substitution?. European Urology. 58(4). 486–494. 83 indexed citations
15.
Thoeny, Harriet C., et al.. (2010). Diffusion-weighted MR imaging : applications in the body. Springer eBooks. 24 indexed citations
16.
Boesch, Chris, et al.. (2007). Functional imaging of the parotid glands using blood oxygenation level dependent (BOLD)‐MRI at 1.5T and 3T. Journal of Magnetic Resonance Imaging. 27(1). 43–48. 8 indexed citations
17.
Giannarini, Gianluca, et al.. (2007). The Efficiency of Excretory Urography to Detect Upper Urinary Tract Tumors After Cystectomy for Urothelial Cancer. The Journal of Urology. 178(6). 2287–2290. 27 indexed citations
18.
Thoeny, Harriet C., Frederik De Keyzer, Filip Claus, Stefan Sunaert, & Robert Hermans. (2005). Gustatory Stimulation Changes the Apparent Diffusion Coefficient of Salivary Glands: Initial Experience. Radiology. 235(2). 629–634. 47 indexed citations
19.
Thoeny, Harriet C., Frederik De Keyzer, Feng Chen, et al.. (2005). Diffusion-weighted MR Imaging in Monitoring the Effect of a Vascular Targeting Agent on Rhabdomyosarcoma in Rats. Radiology. 234(3). 756–764. 132 indexed citations
20.
Thoeny, Harriet C., Urs E. Studer, Stephan Madersbacher, Martin Sonnenschein, & Peter Vock. (2004). Caveats when interpreting intravenous urograms following ileal orthotopic bladder substitution. European Radiology. 14(5). 792–797. 4 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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