Jacqueline Theuws

1.9k total citations · 1 hit paper
28 papers, 1.5k citations indexed

About

Jacqueline Theuws is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jacqueline Theuws has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiation, 19 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jacqueline Theuws's work include Advanced Radiotherapy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (6 papers). Jacqueline Theuws is often cited by papers focused on Advanced Radiotherapy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (6 papers). Jacqueline Theuws collaborates with scholars based in Netherlands, United States and Germany. Jacqueline Theuws's co-authors include Joos V. Lebesque, Stefan L.S. Kwa, Liesbeth Boersma, Sara Müller, Paul Baas, Dieter Oetzel, Randall K. Ten Haken, Gunilla C. Bentel, Robert E. Drzymala and Allen S. Lichter and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and International Journal of Cancer.

In The Last Decade

Jacqueline Theuws

28 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients

1998 634 citations Stefan L.S. Kwa, Joos V. Lebesque et al. International Journal of Radiation Oncology*Biology*Physics profile →

Peers

Countries citing papers authored by Jacqueline Theuws

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline Theuws

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Theuws

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Breast conserving surgery with intraoperative electron beam radiation therapy for low‐risk breast cancer: Five‐year follow‐up of 306 patients 2024 ·International Journal of Cancer ·Charlotte de Jonge, Robert‐Jan Schipper, (unknown), (unknown), (unknown), Adri C. Voogd, Maurice J.C. van der Sangen, Jacqueline Theuws, (unknown), (unknown), Johanne G. Bloemen, Hetty A. van den Berg, Grard A. P. Nieuwenhuijzen	2
2	Comparison of the use of a clinically implemented deep learning segmentation model with the simulated study setting for breast cancer patients receiving radiotherapy 2024 ·Acta Oncologica ·(unknown), Maurice J.C. van der Sangen, Jacqueline Theuws, J.J. Bluemink, Coen Hurkmans	2
3	Comparison of the output of a deep learning segmentation model for locoregional breast cancer radiotherapy trained on 2 different datasets 2023 ·Technical Innovations & Patient Support in Radiation Oncology ·(unknown), (unknown), Jacqueline Theuws, (unknown), Coen Hurkmans	5
4	Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer 2023 ·Physics and Imaging in Radiation Oncology ·(unknown), (unknown), Jacqueline Theuws, J.J. Bluemink, Coen Hurkmans	5
5	Narrowing the difference in dose delivery for IOERT and IOBT for locally advanced and locally recurrent rectal cancer 2022 ·Journal of Contemporary Brachytherapy ·(unknown), Wim Dries, Jeltsje S. Cnossen, Jacqueline Theuws, Heike Peulen, Hetty A. van den Berg, Dorien Rijkaart, (unknown), Inger‐Karine K. Kolkman‐Deurloo, Joost J. Nuyttens, H.J.T. Rutten, Jacobus W. A. Burger, (unknown)	3
6	Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer 2021 ·Physics and Imaging in Radiation Oncology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jacqueline Theuws, Coen Hurkmans	25
7	Development and evaluation of radiotherapy deep learning dose prediction models for breast cancer 2021 ·Physics and Imaging in Radiation Oncology ·(unknown), (unknown), (unknown), (unknown), Jacqueline Theuws, Coen Hurkmans	52
8	Reduction of heart and lung normal tissue complication probability using automatic beam angle optimization and more generic optimization objectives for breast radiotherapy 2021 ·Physics and Imaging in Radiation Oncology ·(unknown), (unknown), (unknown), (unknown), (unknown), Jacqueline Theuws, Coen Hurkmans	5
9	Radiotherapy quality assurance for mesorectum treatment planning within the multi-center phase II STAR-TReC trial: Dutch results 2020 ·Radiation Oncology ·(unknown), Femke P. Peters, (unknown), Heidi Rütten, (unknown), Maaike Berbée, Richard Canters, (unknown), (unknown), Tom Rozema, Mariska de Smet, Martijn Intven, Rob H.N. Tijssen, Jacqueline Theuws, (unknown), Baukelien van Triest, (unknown), Corrie A.M. Marijnen, Uulke A. van der Heide, Ellen M. Kerkhof	1
10	Interobserver variability in the delineation of the primary lung cancer and lymph nodes on different four-dimensional computed tomography reconstructions 2017 ·Radiotherapy and Oncology ·(unknown), J. Belderbos, Katrien De Jaeger, Dominic A.X. Schinagl, (unknown), Jacqueline Pomp, Jacqueline Theuws, Jonathan Khalifa, (unknown), Marcel van Herk	18
11	Cardiovascular Disease Risk in a Large, Population-Based Cohort of Breast Cancer Survivors 2015 ·International Journal of Radiation OncologyBiologyPhysics ·Naomi B. Boekel, Michael Schaapveld, Jourik A. Gietema, Nicola S. Russell, Philip Poortmans, Jacqueline Theuws, Dominic A.X. Schinagl, D. Rietveld, Michel I.M. Versteegh, Otto Visser, Emiel J. Rutgers, Berthe M.P. Aleman, Flora E. van Leeuwen	91
12	Dose painting by contours versus dose painting by numbers for stage II/III lung cancer: Practical implications of using a broad or sharp brush 2011 ·Radiotherapy and Oncology ·Gert J. Meijer, (unknown), M. Bal, Katrien De Jaeger, D. Schuring, Jacqueline Theuws	38
13	Response to radiation therapy in adrenocortical carcinoma 2010 ·Journal of Endocrinological Investigation ·I G C Hermsen, (unknown), M. W. Dercksen, Jacqueline Theuws, Harm R. Haak	28
14	Feasibility of Pathology-Correlated Lung Imaging for Accurate Target Definition of Lung Tumors 2007 ·International Journal of Radiation OncologyBiologyPhysics ·J. Stroom, Hans Blaauwgeers, Angela van Baardwijk, Liesbeth Boersma, Joos V. Lebesque, Jacqueline Theuws, Robert‐Jan van Suylen, Houke M. Klomp, (unknown), Renée van Pel, Christian Siedschlag, Kenneth G. A. Gilhuijs	72
15	Radiation dose-effect relations and local recovery in perfusion for patients with non–small-cell lung cancer 2000 ·International Journal of Radiation OncologyBiologyPhysics ·Yvette Seppenwoolde, Sara Müller, Jacqueline Theuws, Paul Baas, J. Belderbos, Liesbeth Boersma, Joos V. Lebesque	106
16	Changes in local pulmonary injury up to 48 months after irradiation for lymphoma and breast cancer 2000 ·International Journal of Radiation OncologyBiologyPhysics ·Jacqueline Theuws, Yvette Seppenwoolde, Stefan L.S. Kwa, Liesbeth Boersma, E. Damen, Paul Baas, Sara Müller, Joos V. Lebesque	47
17	Prediction of overall pulmonary function loss in relation to the 3-D dose distribution for patients with breast cancer and malignant lymphoma 1998 ·Radiotherapy and Oncology ·Jacqueline Theuws, Stefan L.S. Kwa, (unknown), Yvette Seppenwoolde, Liesbeth Boersma, E. Damen, Sara Müller, Paul Baas, Joos V. Lebesque	69
18	Evaluation of two dose–volume histogram reduction models for the prediction of radiation pneumonitis 1998 ·Radiotherapy and Oncology ·Stefan L.S. Kwa, Jacqueline Theuws, (unknown), E. Damen, Liesbeth Boersma, Paul Baas, Sara Müller, Joos V. Lebesque	112
19	Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients breakdown → 1998 ·International Journal of Radiation OncologyBiologyPhysics ·Stefan L.S. Kwa, Joos V. Lebesque, Jacqueline Theuws, Lawrence B. Marks, M.T. Munley, Gunilla C. Bentel, Dieter Oetzel, (unknown), Mary V. Graham, Robert E. Drzymala, James A. Purdy, Allen S. Lichter, Mary K. Martel, Randall K. Ten Haken	634
20	125 Radiation pneumonitis as a function of dose and volume; An analysis of pooled data of 442 patients 1997 ·International Journal of Radiation OncologyBiologyPhysics ·Joos V. Lebesque, Stefan L.S. Kwa, Jacqueline Theuws, (unknown), L.B. Marks, Michael T. Munley, Dieter Oetzel, (unknown), (unknown), M.K. Martel, Randall K. Ten Haken	21

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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