Mathijs P. Hendriks

6.0k total citations · 2 hit papers
69 papers, 1.1k citations indexed

About

Mathijs P. Hendriks is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Mathijs P. Hendriks has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 20 papers in Pulmonary and Respiratory Medicine and 16 papers in Surgery. Recurrent topics in Mathijs P. Hendriks's work include Colorectal Cancer Treatments and Studies (15 papers), Palliative Care and End-of-Life Issues (9 papers) and Colorectal Cancer Surgical Treatments (8 papers). Mathijs P. Hendriks is often cited by papers focused on Colorectal Cancer Treatments and Studies (15 papers), Palliative Care and End-of-Life Issues (9 papers) and Colorectal Cancer Surgical Treatments (8 papers). Mathijs P. Hendriks collaborates with scholars based in Netherlands, United States and Spain. Mathijs P. Hendriks's co-authors include Sabine Siesling, Arturo Moncada‐Torres, Gijs Geleijnse, Marissa C. van Maaren, Geke A.P. Hospers, Boudewijn van Etten, Annet G.H. Roodvoets, Hein Putter, Cornelis J.�H. van de Velde and Corrie A.M. Marijnen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Mathijs P. Hendriks

67 papers receiving 1.1k citations

Hit Papers

Explainable machine learning can outperform Cox regressio... 2021 2026 2022 2024 2021 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathijs P. Hendriks Netherlands 15 609 408 211 164 126 69 1.1k
Samuel Seery China 17 296 0.5× 174 0.4× 218 1.0× 138 0.8× 134 1.1× 70 958
Charalampos S. Floudas United States 14 677 1.1× 174 0.4× 200 0.9× 92 0.6× 72 0.6× 64 1.1k
Bergþór Björnsson Sweden 20 686 1.1× 751 1.8× 319 1.5× 59 0.4× 30 0.2× 101 1.6k
Boris Campillo‐Gimenez France 17 183 0.3× 315 0.8× 295 1.4× 107 0.7× 47 0.4× 50 928
David P. Horowitz United States 14 262 0.4× 175 0.4× 139 0.7× 95 0.6× 54 0.4× 66 781
Ilse Vejborg Denmark 23 531 0.9× 305 0.7× 285 1.4× 324 2.0× 286 2.3× 52 1.3k
Ilse Vejborg Denmark 24 950 1.6× 149 0.4× 414 2.0× 295 1.8× 336 2.7× 68 1.5k
Valentina I. Petkov United States 16 442 0.7× 203 0.5× 336 1.6× 92 0.6× 52 0.4× 43 1.4k
Fábio Ynoe de Moraes Canada 20 381 0.6× 422 1.0× 566 2.7× 394 2.4× 58 0.5× 168 1.6k
Jamshid Abdul‐Ghafar Afghanistan 16 244 0.4× 132 0.3× 188 0.9× 171 1.0× 161 1.3× 67 853

Countries citing papers authored by Mathijs P. Hendriks

Since Specialization
Citations

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

Fields of papers citing papers by Mathijs P. Hendriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathijs P. Hendriks. 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 Mathijs P. Hendriks. The network helps show where Mathijs P. Hendriks may publish in the future.

Co-authorship network of co-authors of Mathijs P. Hendriks

This figure shows the co-authorship network connecting the top 25 collaborators of Mathijs P. Hendriks. A scholar is included among the top collaborators of Mathijs P. Hendriks 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 Mathijs P. Hendriks. Mathijs P. Hendriks 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.
Dings, Mark P.G., Jan Köster, Mariëtte Labots, et al.. (2025). KRAS mutation status integrated with RNA subtyping improves prognostic modeling in FOLFIRINOX-treated metastatic pancreatic cancer. Med. 6(6). 100601–100601. 1 indexed citations
2.
Hendriks, Mathijs P., et al.. (2024). Clinical decision support systems for multidisciplinary team decision-making in patients with solid cancer: Composition of an implementation model based on a scoping review. Critical Reviews in Oncology/Hematology. 195. 104267–104267. 3 indexed citations
3.
Gootjes, Elske C., Barbara M. Zonderhuis, Kathelijn S. Versteeg, et al.. (2024). Primary outcome analysis of the ORCHESTRA trial: A randomized phase III trial of additional tumor debulking to first-line palliative systemic therapy for patients with multiorgan metastatic colorectal cancer.. Journal of Clinical Oncology. 42(17_suppl). LBA3502–LBA3502. 9 indexed citations
4.
Koshkin, Vadim S., Pongwut Danchaivijitr, Woo Kyun Bae, et al.. (2024). Pembrolizumab Retreatment in Patients with Advanced or Metastatic Urothelial Carcinoma Who Responded to First-course Pembrolizumab-based Therapy. European Urology. 87(4). 390–395. 1 indexed citations
5.
Fransen, Heidi P., Alexander de Graeff, Mathijs P. Hendriks, et al.. (2024). Relatives’ Unmet Needs in the Last Year of Life of Patients With Advanced Cancer: Results of a Dutch Prospective, Longitudinal Study (eQuiPe). Journal of Palliative Care. 40(1). 41–50. 1 indexed citations
6.
Brom, Linda, Arnold Baars, Jean‐Paul van Basten, et al.. (2024). Open communication between patients and relatives about illness & death in advanced cancer—results of the eQuiPe Study. Supportive Care in Cancer. 32(4). 214–214. 3 indexed citations
7.
Basten, Jean‐Paul A. van, Pieter L. van den Berg, Roderick CN van den Bergh, et al.. (2023). TripleAiM1: a nationwide registry of de novo metastatic hormone-sensitive prostate cancer with prospective quality-of-life assessment. BMJ Open. 13(8). e072572–e072572. 1 indexed citations
8.
Maaren, Marissa C. van, et al.. (2023). External validation of 87 clinical prediction models supporting clinical decisions for breast cancer patients. The Breast. 69. 382–391. 4 indexed citations
9.
Fransen, Heidi P., Natasja Raijmakers, Ben van den Borne, et al.. (2023). Trajectories of emotional functioning and experienced care of relatives in the last year of life of patients with advanced cancer: A longitudinal analysis of the eQuiPe study. Psycho-Oncology. 32(12). 1858–1866. 2 indexed citations
10.
Vliek, S.B., Iris Noordhoek, Elma Meershoek‐Klein Kranenbarg, et al.. (2022). Daily Oral Ibandronate With Adjuvant Endocrine Therapy in Postmenopausal Women With Estrogen Receptor–Positive Breast Cancer (BOOG 2006-04): Randomized Phase III TEAM-IIB Trial. Journal of Clinical Oncology. 40(25). 2934–2945. 8 indexed citations
11.
Munck, Linda de, Maaike de Vries, Anne Brecht Francken, et al.. (2022). Routine and interval detection of locoregional breast cancer recurrences and risk of subsequent distant metastasis. Breast Cancer Research and Treatment. 197(1). 123–135. 4 indexed citations
12.
Smid, Marcel, Job van Riet, Lindsay Angus, et al.. (2021). Whole genome sequencing of metastatic colorectal cancer reveals prior treatment effects and specific metastasis features. Nature Communications. 12(1). 574–574. 45 indexed citations
13.
Fransen, Heidi P., Ben van den Borne, Mathijs P. Hendriks, et al.. (2021). Bereaved relatives’ quality of life before and during the COVID-19 pandemic: Results of the prospective, multicenter, observational eQuiPe study. Palliative Medicine. 35(8). 1502–1507. 6 indexed citations
14.
Smid, Marcel, Job van Riet, Lindsay Angus, et al.. (2021). Author Correction: Whole genome sequencing of metastatic colorectal cancer reveals prior treatment effects and specific metastasis features. Nature Communications. 12(1). 3269–3269. 6 indexed citations
15.
Moncada‐Torres, Arturo, Marissa C. van Maaren, Mathijs P. Hendriks, Sabine Siesling, & Gijs Geleijnse. (2021). Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival. Scientific Reports. 11(1). 6968–6968. 204 indexed citations breakdown →
16.
Geleijnse, Gijs, et al.. (2020). Machine Learning Explainability in Breast Cancer Survival. Studies in health technology and informatics. 270. 307–311. 29 indexed citations
17.
Driessen, C.M.L., Mathijs P. Hendriks, E. Fiets, et al.. (2019). Prophylactic antibiotics reduce hospitalisations and cost in locally advanced head and neck cancer patients treated with chemoradiotherapy: A randomised phase 2 study. European Journal of Cancer. 113. 32–40. 10 indexed citations
18.
Leeneman, B, M Franken, Veerle M.H. Coupé, et al.. (2019). Stage-specific disease recurrence and survival in localized and regionally advanced cutaneous melanoma. European Journal of Surgical Oncology. 45(5). 825–831. 21 indexed citations
19.
Westgeest, Hans M., Ronald de Wit, J.L. Coenen, et al.. (2019). Second-Line Cabazitaxel Treatment in Castration-Resistant Prostate Cancer Clinical Trials Compared to Standard of Care in CAPRI: Observational Study in the Netherlands. Clinical Genitourinary Cancer. 17(5). e946–e956. 5 indexed citations
20.
Maaren, Marissa C. van, et al.. (2019). Validation of the online prediction model CancerMath in the Dutch breast cancer population. Breast Cancer Research and Treatment. 178(3). 665–681. 5 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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