Stella Mook

5.5k total citations · 2 hit papers
88 papers, 3.4k citations indexed

About

Stella Mook is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cancer Research. According to data from OpenAlex, Stella Mook has authored 88 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 47 papers in Surgery and 23 papers in Cancer Research. Recurrent topics in Stella Mook's work include Esophageal Cancer Research and Treatment (46 papers), Gastric Cancer Management and Outcomes (26 papers) and Lung Cancer Diagnosis and Treatment (21 papers). Stella Mook is often cited by papers focused on Esophageal Cancer Research and Treatment (46 papers), Gastric Cancer Management and Outcomes (26 papers) and Lung Cancer Diagnosis and Treatment (21 papers). Stella Mook collaborates with scholars based in Netherlands, United States and Germany. Stella Mook's co-authors include Emiel J. Rutgers, Fátima Cardoso, Martine Piccart, Richard van Hillegersberg, Jelle P. Ruurda, Laura van ‘t Veer, Sherene Loi, Gert J. Meijer, Laura J. van’t Veer and Laura van’t Veer and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Stella Mook

82 papers receiving 3.3k citations

Hit Papers

Adaptive radiotherapy: The Elekta Unity MR-linac concept 2018 2026 2020 2023 2019 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stella Mook Netherlands 25 1.4k 1.2k 1.0k 990 691 88 3.4k
C. Bourgier France 31 1.1k 0.8× 1.2k 1.0× 1.2k 1.2× 375 0.4× 791 1.1× 163 3.1k
Danny Vesprini Canada 35 2.5k 1.8× 998 0.8× 1.0k 1.0× 828 0.8× 781 1.1× 159 4.9k
Eui Kyu Chie South Korea 31 1.4k 1.0× 989 0.8× 2.4k 2.3× 1.4k 1.4× 546 0.8× 233 3.9k
Birgitte Vrou Offersen Denmark 32 684 0.5× 2.3k 1.8× 986 1.0× 698 0.7× 901 1.3× 125 3.3k
Kyung Hwan Shin South Korea 33 831 0.6× 1.5k 1.2× 1.0k 1.0× 930 0.9× 605 0.9× 161 3.3k
Janet K. Horton United States 28 671 0.5× 2.2k 1.8× 1.1k 1.1× 1.3k 1.3× 689 1.0× 87 3.9k
Thierry Gil Belgium 22 2.1k 1.5× 453 0.4× 1.1k 1.1× 841 0.8× 339 0.5× 94 3.5k
L. Manchul Canada 26 397 0.3× 1.3k 1.0× 849 0.8× 697 0.7× 746 1.1× 63 3.4k
Jiro Okami Japan 35 3.0k 2.2× 904 0.7× 1.7k 1.6× 827 0.8× 812 1.2× 156 5.0k
Axel Semjonow Germany 35 2.6k 1.9× 746 0.6× 797 0.8× 672 0.7× 366 0.5× 170 4.2k

Countries citing papers authored by Stella Mook

Since Specialization
Citations

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

Fields of papers citing papers by Stella Mook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stella Mook

This figure shows the co-authorship network connecting the top 25 collaborators of Stella Mook. A scholar is included among the top collaborators of Stella Mook 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 Stella Mook. Stella Mook 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.
Mook, Stella, et al.. (2025). A simplified online adaptive workflow for long-course magnetic resonance-guided radiotherapy in esophageal cancer. Physics and Imaging in Radiation Oncology. 33. 100717–100717.
2.
Wu, Zhouqiao, Rob H.A. Verhoeven, Lucas Goense, et al.. (2025). A Novel TRG-N Prognostic Classification System for Esophageal Cancer Undergoing Neoadjuvant Therapy Followed by Esophagectomy. Annals of Surgery. 282(5). 837–844.
3.
Daamen, Lois A., et al.. (2024). Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists. Clinical and Translational Radiation Oncology. 51. 100901–100901. 1 indexed citations
6.
Daamen, Lois A., H.D. Heerkens, Saskia van de Ven, et al.. (2023). Clinical outcomes after online adaptive MR-guided stereotactic body radiotherapy for pancreatic tumors on a 1.5 T MR-linac. Frontiers in Oncology. 13. 1040673–1040673. 8 indexed citations
7.
Vissers, Pauline A. J., V.E.P.P. Lemmens, Hanneke W. M. van Laarhoven, et al.. (2023). The association between hospital variation in curative treatment for esophagogastric cancer and health-related quality of life and survival. European Journal of Surgical Oncology. 49(10). 107019–107019. 1 indexed citations
8.
Lagendijk, J J W, et al.. (2023). Intrafraction motion analysis in online adaptive radiotherapy for esophageal cancer. Physics and Imaging in Radiation Oncology. 26. 100432–100432. 4 indexed citations
10.
Brom, Linda, Pauline A. J. Vissers, Fabienne Warmerdam, et al.. (2022). Treatment decision‐making during outpatient clinic visit of patients with esophagogastric cancer. The perspectives of clinicians and patients, a mixed method, multiple case study. Cancer Medicine. 11(12). 2427–2444. 1 indexed citations
11.
Vissers, Pauline A. J., David Bertwistle, Laura McDonald, et al.. (2022). Population-based study of treatment and outcome of recurrent oesophageal or junctional cancer. British journal of surgery. 109(12). 1264–1273. 3 indexed citations
12.
Dijksterhuis, Willemieke P.M., Tiuri E. Kroese, Rob H.A. Verhoeven, et al.. (2022). A population-based study on treatment and outcomes in patients with gastric adenocarcinoma diagnosed with distant interval metastases. European Journal of Surgical Oncology. 48(9). 1964–1971. 4 indexed citations
13.
Borggreve, Alicia S., Richard van Hillegersberg, A.N.T.J. Kotte, et al.. (2021). CTV-to-PTV margin assessment for esophageal cancer radiotherapy based on an accumulated dose analysis. Radiotherapy and Oncology. 161. 16–22. 8 indexed citations
14.
Kroese, Tiuri E., Willemieke P.M. Dijksterhuis, Peter S.N. van Rossum, et al.. (2021). Prognosis of Interval Distant Metastases After Neoadjuvant Chemoradiotherapy for Esophageal Cancer. The Annals of Thoracic Surgery. 113(2). 482–490. 4 indexed citations
15.
Intven, Martijn, Stella Mook, Patricia Doornaert, et al.. (2020). Online adaptive MR-guided radiotherapy for rectal cancer; feasibility of the workflow on a 1.5T MR-linac: clinical implementation and initial experience. Radiotherapy and Oncology. 154. 172–178. 69 indexed citations
16.
Voncken, Francine E.M., Jolanda M. van Dieren, Doenja M. J. Lambregts, et al.. (2019). Diagnostic performance of MRI for assessment of response to neoadjuvant chemoradiotherapy in oesophageal cancer. British journal of surgery. 106(5). 596–605. 23 indexed citations
17.
Schurink, Bernadette, Maarten F. J. Seesing, Lucas Goense, et al.. (2018). ypT0N+ status in oesophageal cancer patients: Location of residual metastatic lymph nodes with regard to the neoadjuvant radiation field. European Journal of Surgical Oncology. 45(3). 454–459. 4 indexed citations
18.
Verkooijen, Helena M., Linda G.W. Kerkmeijer, Clifton D. Fuller, et al.. (2017). R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology. Frontiers in Oncology. 7. 59–59. 74 indexed citations
19.
Mook, Stella, Laura van ‘t Veer, Emiel J. Rutgers, et al.. (2011). Independent Prognostic Value of Screen Detection in Invasive Breast Cancer. JNCI Journal of the National Cancer Institute. 103(7). 585–597. 92 indexed citations
20.
Mook, Stella, Marjanka K. Schmidt, Britta Weigelt, et al.. (2009). The 70-gene prognosis signature predicts early metastasis in breast cancer patients between 55 and 70 years of age. Annals of Oncology. 21(4). 717–722. 113 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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