Jacqueline Theuws
- Radiation top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Cancer Research top 10%
- Biomedical Engineering
- Co-authors
- Joos V. LebesqueStefan L.S. KwaLiesbeth BoersmaSara MüllerPaul BaasDieter OetzelRandall K. Ten HakenGunilla C. Bentel
- Topics
- Advanced Radiotherapy Techniques (21 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (6 papers)
- Journals
- Journal of Clinical OncologyInternational Journal of Radiation Oncology*Biology*PhysicsInternational Journal of Cancer
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jacqueline Theuws
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Radiation 1.1k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Pulmonary and Respiratory Medicine 967
- Cancer Research 205
- Biomedical Engineering 144
Countries citing papers authored by Jacqueline Theuws
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 25 | |
| 7 | 52 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 91 | |
| 12 | 38 | |
| 13 | 28 | |
| 14 | 72 | |
| 15 | 106 | |
| 16 | 47 | |
| 17 | 69 | |
| 18 | 112 | |
| 19 | Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patientsbreakdown → | 634 |
| 20 | 21 |
About Jacqueline Theuws
Jacqueline Theuws is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Radiation (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Pulmonary and Respiratory Medicine (967 citations). Jacqueline Theuws has collaborated with scholars based in Netherlands, United States and Germany. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and International Journal of Cancer.
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.