Cornelis Schilstra

3.0k total citations
31 papers, 2.3k citations indexed

About

Cornelis Schilstra is a scholar working on Radiation, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Cornelis Schilstra has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiation, 16 papers in Otorhinolaryngology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Cornelis Schilstra's work include Advanced Radiotherapy Techniques (18 papers), Head and Neck Cancer Studies (16 papers) and Oral health in cancer treatment (6 papers). Cornelis Schilstra is often cited by papers focused on Advanced Radiotherapy Techniques (18 papers), Head and Neck Cancer Studies (16 papers) and Oral health in cancer treatment (6 papers). Cornelis Schilstra collaborates with scholars based in Netherlands, United States and Switzerland. Cornelis Schilstra's co-authors include J. H. van Hateren, Johannes A. Langendijk, Hendrik P. Bijl, Miranda E.M.C. Christianen, Tara A. van de Water, A. van der Schaaf, Randall K. Ten Haken, Ivo Beetz, Bernard F. A. M. van der Laan and J. Belderbos and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Experimental Biology and Physics in Medicine and Biology.

In The Last Decade

Cornelis Schilstra

28 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cornelis Schilstra Netherlands	23	1.1k	1.1k	788	786	351	31	2.3k
John Lyman United States	28	2.1k 1.9×	1.8k 1.7×	152 0.2×	1.5k 1.9×	375 1.1×	85	3.8k
M.E.P. Philippens Netherlands	35	1.1k 1.0×	922 0.8×	404 0.5×	2.4k 3.0×	376 1.1×	149	3.5k
K. Franks United Kingdom	27	1.3k 1.1×	2.2k 2.0×	122 0.2×	1.5k 1.9×	384 1.1×	109	3.3k
Mikko Tenhunen Finland	30	1.4k 1.2×	869 0.8×	319 0.4×	1.3k 1.7×	438 1.2×	83	2.7k
P.M. Wu China	16	170 0.2×	544 0.5×	927 1.2×	310 0.4×	657 1.9×	19	1.5k
John W. Matthews United States	15	469 0.4×	476 0.4×	64 0.1×	502 0.6×	58 0.2×	41	1.3k
Carlos Cárdenas United States	26	1.0k 0.9×	553 0.5×	244 0.3×	1.3k 1.6×	234 0.7×	134	2.3k
Toshiaki Takeda Japan	27	488 0.4×	699 0.6×	58 0.1×	410 0.5×	207 0.6×	61	1.7k
Tsukasa Ito Japan	23	68 0.1×	114 0.1×	463 0.6×	55 0.1×	604 1.7×	91	1.6k
Robert E. Drzymala United States	27	1.6k 1.4×	1.5k 1.3×	103 0.1×	1.3k 1.6×	212 0.6×	79	2.6k

Countries citing papers authored by Cornelis Schilstra

Since Specialization

Citations

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

Fields of papers citing papers by Cornelis Schilstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelis Schilstra

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelis Schilstra. A scholar is included among the top collaborators of Cornelis Schilstra 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 Cornelis Schilstra. Cornelis Schilstra 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

Kierkels, R.G.J., Erik W. Korevaar, Roel J.H.M. Steenbakkers, et al.. (2014). Direct use of multivariable normal tissue complication probability models in treatment plan optimisation for individualised head and neck cancer radiotherapy produces clinically acceptable treatment plans. Radiotherapy and Oncology. 112(3). 430–436. 39 indexed citations

Beetz, Ivo, Cornelis Schilstra, A. van der Schaaf, et al.. (2013). Role of minor salivary glands in developing patient-rated xerostomia and sticky saliva during day and night. Radiotherapy and Oncology. 109(2). 311–316. 22 indexed citations

Schaaf, A. van der, Cheng‐Jian Xu, Peter van Luijk, et al.. (2012). Multivariate modeling of complications with data driven variable selection: Guarding against overfitting and effects of data set size. Radiotherapy and Oncology. 105(1). 115–121. 55 indexed citations

Xu, Cheng‐Jian, A. van der Schaaf, Cornelis Schilstra, Johannes A. Langendijk, & A.A. van't Veld. (2012). Impact of Statistical Learning Methods on the Predictive Power of Multivariate Normal Tissue Complication Probability Models. International Journal of Radiation Oncology*Biology*Physics. 82(4). e677–e684. 44 indexed citations

Bijl, Hendrik P., Miranda E.M.C. Christianen, Ivo Beetz, et al.. (2012). A Prospective Cohort Study on Radiation-induced Hypothyroidism: Development of an NTCP Model. International Journal of Radiation Oncology*Biology*Physics. 84(3). e351–e356. 83 indexed citations

Laan, Hans Paul van der, Tara A. van de Water, Miranda E.M.C. Christianen, et al.. (2012). The potential of intensity-modulated proton radiotherapy to reduce swallowing dysfunction in the treatment of head and neck cancer: A planning comparative study. Acta Oncologica. 52(3). 561–569. 80 indexed citations

Beetz, Ivo, Cornelis Schilstra, A. van der Schaaf, et al.. (2012). NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: The role of dosimetric and clinical factors. Radiotherapy and Oncology. 105(1). 101–106. 145 indexed citations

Water, Tara A. van de, Hendrik P. Bijl, Cornelis Schilstra, Madelon Pijls-Johannesma, & Johannes A. Langendijk. (2011). The Potential Benefit of Radiotherapy with Protons in Head and Neck Cancer with Respect to Normal Tissue Sparing: A Systematic Review of Literature. The Oncologist. 16(3). 366–377. 118 indexed citations

Laan, Hans Paul van der, Miranda E.M.C. Christianen, Hendrik P. Bijl, Cornelis Schilstra, & Johannes A. Langendijk. (2011). The potential benefit of swallowing sparing intensity modulated radiotherapy to reduce swallowing dysfunction: An in silico planning comparative study. Radiotherapy and Oncology. 103(1). 76–81. 63 indexed citations

10.

Beetz, Ivo, Cornelis Schilstra, Fred R. Burlage, et al.. (2011). Development of NTCP models for head and neck cancer patients treated with three-dimensional conformal radiotherapy for xerostomia and sticky saliva: The role of dosimetric and clinical factors. Radiotherapy and Oncology. 105(1). 86–93. 89 indexed citations

11.

Water, Tara A. van de, Antony Lomax, Hendrik P. Bijl, et al.. (2011). Using a Reduced Spot Size for Intensity-Modulated Proton Therapy Potentially Improves Salivary Gland-Sparing in Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 82(2). e313–e319. 61 indexed citations

12.

Christianen, Miranda E.M.C., Ivo Beetz, O. Chouvalova, et al.. (2011). A NTCP MODEL FOR RADIATION-INDUCED HYPOTHYROIDISM BASED ON A PROSPECTIVE COHORT STUDY. Radiotherapy and Oncology. 98. S25–S26.

13.

Water, Tara A. van de, Antony Lomax, Hendrik P. Bijl, et al.. (2010). Potential Benefits of Scanned Intensity-Modulated Proton Therapy Versus Advanced Photon Therapy With Regard to Sparing of the Salivary Glands in Oropharyngeal Cancer. International Journal of Radiation Oncology*Biology*Physics. 79(4). 1216–1224. 119 indexed citations

14.

Laan, Hans Paul van der, Wil V. Dolsma, Cornelis Schilstra, et al.. (2010). Limited benefit of inversely optimised intensity modulation in breast conserving radiotherapy with simultaneously integrated boost. Radiotherapy and Oncology. 94(3). 307–312. 16 indexed citations

15.

Houweling, Antonetta C., M.E.P. Philippens, Tim Dijkema, et al.. (2009). A Comparison of Dose–Response Models for the Parotid Gland in a Large Group of Head-and-Neck Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 76(4). 1259–1265. 76 indexed citations

16.

Laan, Hans Paul van der, et al.. (2007). Grading-System-Dependent Volume Effects for Late Radiation-Induced Rectal Toxicity After Curative Radiotherapy for Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 70(4). 1138–1145. 50 indexed citations

17.

Luijk, Peter van, et al.. (2003). Estimation of parameters of dose–volume models and their confidence limits. Physics in Medicine and Biology. 48(13). 1863–1884. 19 indexed citations

18.

Schilstra, Cornelis & H. Meertens. (2001). Calculation of the uncertainty in complication probability for various dose–response models, applied to the parotid gland. International Journal of Radiation Oncology*Biology*Physics. 50(1). 147–158. 46 indexed citations

19.

Schilstra, Cornelis & J. H. van Hateren. (1999). Blowfly flight and optic flow : I. Thorax kinematics and flight dynamics. Journal of Experimental Biology. 202(11). 1481–1490. 181 indexed citations

20.

Schilstra, Cornelis & J. H. van Hateren. (1998). Using miniature sensor coils for simultaneous measurement of orientation and position of small, fast-moving animals. Journal of Neuroscience Methods. 83(2). 125–131. 35 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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