Sanne E. Wiegers

797 total citations
16 papers, 403 citations indexed

About

Sanne E. Wiegers is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sanne E. Wiegers has authored 16 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pathology and Forensic Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sanne E. Wiegers's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lymphoma Diagnosis and Treatment (10 papers) and Medical Imaging Techniques and Applications (8 papers). Sanne E. Wiegers is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Lymphoma Diagnosis and Treatment (10 papers) and Medical Imaging Techniques and Applications (8 papers). Sanne E. Wiegers collaborates with scholars based in Netherlands, Germany and United Kingdom. Sanne E. Wiegers's co-authors include Robert S. Kass, Josée M. Zijlstra, Ronald Boellaard, Jakoba J. Eertink, Pieternella J. Lugtenburg, Henrica C. W. de Vet, Otto S. Hoekstra, Gerben J.C. Zwezerijnen, Elisabeth Pfaehler and Bronno van der Holt and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Physiology.

In The Last Decade

Sanne E. Wiegers

14 papers receiving 395 citations

Peers

Countries citing papers authored by Sanne E. Wiegers

Since Specialization

Citations

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

Fields of papers citing papers by Sanne E. Wiegers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanne E. Wiegers. 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 Sanne E. Wiegers. The network helps show where Sanne E. Wiegers may publish in the future.

Co-authorship network of co-authors of Sanne E. Wiegers

This figure shows the co-authorship network connecting the top 25 collaborators of Sanne E. Wiegers. A scholar is included among the top collaborators of Sanne E. Wiegers 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 Sanne E. Wiegers. Sanne E. Wiegers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Measuring Total Metabolic Tumor Volume from¹⁸F-FDG PET: A Reality Check 2025 ·Journal of Nuclear Medicine ·Ronald Boellaard, Gerben J.C. Zwezerijnen, Irène Buvat, Laurence Champion, (unknown), Fanny Orlhac, Anne I.J. Arens, (unknown), (unknown), Cristina Mitea, (unknown), Nelleke Tolboom, Bart de Keizer, Roelf Valkema, Floris H. P. van Velden, Petra Dibbets‐Schneider, Sanne E. Wiegers, Pieternella J. Lugtenburg, Sally F. Barrington, Josée M. Zijlstra	3
2	Treatment Response Evaluation in Necrotizing Otitis Externa Using 18F-FDG-PET Imaging 2025 ·Otology & Neurotology ·(unknown), (unknown), Sanne E. Wiegers, Pim de Graaf, Annelies van Schie, Roland M. Martens, Ronald Boellaard, Gerben J.C. Zwezerijnen, Thadé Goderie	0
3	Feasibility of Using 18F-FDG PET/CT Radiomics and Machine Learning to Detect Drug-Induced Interstitial Lung Disease 2024 ·Diagnostics ·(unknown), Gerben J.C. Zwezerijnen, Sanne E. Wiegers, Yvonne W. S. Jauw, Pieternella J. Lugtenburg, Josée M. Zijlstra, Maqsood Yaqub, Ronald Boellaard	0
4	Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma 2024 ·Journal of Nuclear Medicine ·(unknown), Sandeep S.V. Golla, Jakoba J. Eertink, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Martijn W. Heymans, Pieternella J. Lugtenburg, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Sally F. Barrington, N. George Mikhaeel, Luca Ceriani, Emanuele Zucca, (unknown), Tamás Györke, Martine E.D. Chamuleau, Josée M. Zijlstra, Ronald Boellaard	4
5	Sensitivity of an AI method for [18F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols 2023 ·EJNMMI Research ·(unknown), Sandeep S.V. Golla, Jakoba J. Eertink, (unknown), Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Simone Pieplenbosch, (unknown), Martijn W. Heymans, Josée M. Zijlstra, Ronald Boellaard	1
6	Combatting the effect of image reconstruction settings on lymphoma [18F]FDG PET metabolic tumor volume assessment using various segmentation methods 2022 ·EJNMMI Research ·(unknown), Jakoba J. Eertink, Sandeep S.V. Golla, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Simone Pieplenbosch, Josée M. Zijlstra, Ronald Boellaard	14
7	Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Gerben J.C. Zwezerijnen, Matthijs C. F. Cysouw, Sanne E. Wiegers, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Otto S. Hoekstra, Henrica C. W. de Vet, Josée M. Zijlstra, Ronald Boellaard	32
8	Proposed New Dynamic Prognostic Index for Diffuse Large B-Cell Lymphoma: International Metabolic Prognostic Index 2022 ·Journal of Clinical Oncology ·N. George Mikhaeel, Martijn W. Heymans, Jakoba J. Eertink, Henrica C. W. de Vet, Ronald Boellaard, Ulrich Dührsen, Luca Ceriani, Christine Hanoun, Sanne E. Wiegers, Andreas Hüttmann, Pieternella J. Lugtenburg, Emanuele Zucca, Gerben J.C. Zwezerijnen, Otto S. Hoekstra, Josée M. Zijlstra, Sally F. Barrington	78
9	Baseline radiomics features and MYC rearrangement status predict progression in aggressive B-cell lymphoma 2022 ·Blood Advances ·Jakoba J. Eertink, Gerben J.C. Zwezerijnen, Sanne E. Wiegers, Simone Pieplenbosch, Martine E.D. Chamuleau, Pieternella J. Lugtenburg, Daphne de Jong, Bauke Ylstra, (unknown), Ulrich Dührsen, Christine Hanoun, Andreas Hüttmann, Julia Richter, Wolfram Klapper, Yvonne W. S. Jauw, Otto S. Hoekstra, Henrica C. W. de Vet, Ronald Boellaard, Josée M. Zijlstra	13
10	Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at Interim ¹⁸F-FDG PET in Diffuse Large B-Cell Lymphoma 2021 ·Journal of Nuclear Medicine ·Gerben J.C. Zwezerijnen, Jakoba J. Eertink, Coreline N. Burggraaff, Sanne E. Wiegers, (unknown), Simone Pieplenbosch, Daniela E. Oprea‐Lager, Pieternella J. Lugtenburg, Otto S. Hoekstra, Henrica C. W. de Vet, Josée M. Zijlstra, Ronald Boellaard	9
11	¹⁸F-FDG PET Improves Baseline Clinical Predictors of Response in Diffuse Large B-Cell Lymphoma: The HOVON-84 Study 2021 ·Journal of Nuclear Medicine ·Coreline N. Burggraaff, Jakoba J. Eertink, Pieternella J. Lugtenburg, Otto S. Hoekstra, Anne I.J. Arens, Bart de Keizer, Martijn W. Heymans, Bronno van der Holt, Sanne E. Wiegers, Simone Pieplenbosch, Ronald Boellaard, Henrica C. W. de Vet, Josée M. Zijlstra, (unknown)	17
12	Aberrant patterns of PET response during treatment for DLBCL patients with MYC gene rearrangements 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Anne I.J. Arens, (unknown), (unknown), Bart de Keizer, Sigrid Stroobants, Daphne de Jong, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Coreline N. Burggraaff, Ronald Boellaard, Henrica C. W. de Vet, Otto S. Hoekstra, Pieternella J. Lugtenburg, Martine E.D. Chamuleau, Josée M. Zijlstra, (unknown)	5
13	18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Henrica C. W. de Vet, Otto S. Hoekstra, Ronald Boellaard, Josée M. Zijlstra	90
14	Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter? 2021 ·Journal of Nuclear Medicine ·Jakoba J. Eertink, Elisabeth Pfaehler, Sanne E. Wiegers, (unknown), (unknown), Pieternella J. Lugtenburg, Otto S. Hoekstra, Josée M. Zijlstra, Henrica C. W. de Vet, Ronald Boellaard	24
15	18f-FDG PET/CT Baseline Rdiomics Features Improve the Prediction of Treatment Outcome in Diffuse Large B-Cell Lymphoma Patients 2020 ·Blood ·Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Henrica C. W. de Vet, Otto S. Hoekstra, Ronald Boellaard, Josée M. Zijlstra	3
16	The ionic basis of concentration‐related effects of noradrenaline on the action potential of calf cardiac purkinje fibres. 1982 ·The Journal of Physiology ·Robert S. Kass, Sanne E. Wiegers	110

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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