Ewoud Schuit

10.6k total citations · 2 hit papers
155 papers, 3.2k citations indexed

About

Ewoud Schuit is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Ewoud Schuit has authored 155 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pediatrics, Perinatology and Child Health, 42 papers in Obstetrics and Gynecology and 40 papers in Epidemiology. Recurrent topics in Ewoud Schuit's work include Preterm Birth and Chorioamnionitis (36 papers), Pregnancy-related medical research (27 papers) and Pregnancy and preeclampsia studies (22 papers). Ewoud Schuit is often cited by papers focused on Preterm Birth and Chorioamnionitis (36 papers), Pregnancy-related medical research (27 papers) and Pregnancy and preeclampsia studies (22 papers). Ewoud Schuit collaborates with scholars based in Netherlands, United States and Australia. Ewoud Schuit's co-authors include Karel G.M. Moons, Ben W. Mol, Thomas P. A. Debray, Lotty Hooft, Johannes B. Reitsma, Johannes A. Langendijk, Gary S. Collins, A. van der Schaaf, Johanna AAG Damen and Pauline Heus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ewoud Schuit

139 papers receiving 3.2k citations

Hit Papers

Prediction models for cardiovascular disease risk in the ... 2016 2026 2019 2022 2016 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewoud Schuit Netherlands 27 607 581 579 562 503 155 3.2k
Laure Wynants Belgium 26 463 0.8× 559 1.0× 232 0.4× 417 0.7× 623 1.2× 72 3.6k
Wansu Chen United States 38 1.3k 2.2× 678 1.2× 613 1.1× 498 0.9× 781 1.6× 140 5.4k
Kym I E Snell United Kingdom 27 588 1.0× 979 1.7× 317 0.5× 371 0.7× 332 0.7× 73 5.3k
David J. McLernon United Kingdom 29 271 0.4× 600 1.0× 1.4k 2.4× 1.1k 1.9× 322 0.6× 97 4.3k
Lennarth Nyström Sweden 42 676 1.1× 712 1.2× 1.3k 2.3× 482 0.9× 635 1.3× 147 6.2k
David Cromwell United Kingdom 34 824 1.4× 506 0.9× 625 1.1× 536 1.0× 599 1.2× 182 4.4k
Michael Coory Australia 33 585 1.0× 578 1.0× 1.2k 2.0× 701 1.2× 882 1.8× 147 4.8k
Robin Turner Australia 33 501 0.8× 878 1.5× 334 0.6× 331 0.6× 120 0.2× 153 4.2k
Gunnar Eklund Sweden 37 868 1.4× 704 1.2× 347 0.6× 428 0.8× 249 0.5× 133 5.2k
Susan Dutton United Kingdom 26 455 0.7× 325 0.6× 147 0.3× 278 0.5× 249 0.5× 126 3.4k

Countries citing papers authored by Ewoud Schuit

Since Specialization
Citations

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

Fields of papers citing papers by Ewoud Schuit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewoud Schuit

This figure shows the co-authorship network connecting the top 25 collaborators of Ewoud Schuit. A scholar is included among the top collaborators of Ewoud Schuit 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 Ewoud Schuit. Ewoud Schuit 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.
Franx, Arie, Sanne J. Gordijn, Roel de Heus, et al.. (2025). Implementation of blood pressure telemonitoring in high-risk pregnancies; a multicenter quantitative analysis of patient experiences in the SAFE@home study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 308. 201–207.
2.
Klebanoff, Mark A., Ewoud Schuit, Ronnie Lamont, et al.. (2023). Antibiotic treatment of bacterial vaginosis to prevent preterm delivery: Systematic review and individual participant data meta‐analysis. Paediatric and Perinatal Epidemiology. 37(3). 239–251. 18 indexed citations
3.
Graaf, Rieke van der, et al.. (2023). Learning healthcare systems in cardiology: A qualitative interview study on ethical dilemmas of a learning healthcare system. Learning Health Systems. 8(1). e10379–e10379. 1 indexed citations
4.
Meent, Maarten van de, Wes Onland, Wessel Ganzevoort, et al.. (2023). PO1_11. Optimal timing of antenatal corticosteroid administration in pregnancies complicated by early-onset fetal growth restriction: The opticore study protocol. Pregnancy Hypertension. 33. e6–e6.
5.
Bosdriesz, Jizzo R., Roderick P Venekamp, Ewoud Schuit, et al.. (2023). The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence. PLOS Digital Health. 2(12). e0000396–e0000396. 2 indexed citations
6.
Dhiman, Paula, Martijn J.J. Finken, Anton H. van Kaam, et al.. (2023). Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review and Meta-Analysis. The Journal of Pediatrics. 258. 113370–113370. 18 indexed citations
7.
Schuit, Ewoud, et al.. (2023). Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients. Clinical and Translational Radiation Oncology. 43. 100677–100677. 3 indexed citations
8.
Schuit, Ewoud, Roderick P Venekamp, Irene Veldhuijzen, et al.. (2022). Head-to-head comparison of the accuracy of saliva and nasal rapid antigen SARS-CoV-2 self-testing: cross-sectional study. BMC Medicine. 20(1). 406–406. 14 indexed citations
9.
Venekamp, Roderick P, Irene Veldhuijzen, Karel G.M. Moons, et al.. (2022). Detection of SARS-CoV-2 infection in the general population by three prevailing rapid antigen tests: cross-sectional diagnostic accuracy study. BMC Medicine. 20(1). 97–97. 9 indexed citations
10.
Schuit, Ewoud, Roderick P Venekamp, Lotty Hooft, et al.. (2022). Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study. BMJ. 378. e071215–e071215. 26 indexed citations
11.
Schuit, Ewoud, Rieke van der Graaf, Rolf H. H. Groenwold, et al.. (2022). Applicability of European Society of Cardiology guidelines according to gross national income. European Heart Journal. 44(7). 598–607. 16 indexed citations
12.
Bosch, L. Van den, A. van der Schaaf, Hans Paul van der Laan, et al.. (2021). Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: A new concept for individually optimised treatment. Radiotherapy and Oncology. 157. 147–154. 76 indexed citations
13.
Schuit, Ewoud, et al.. (2021). Timing of recurrence after surgery in pelvic organ prolapse. International Urogynecology Journal. 32(8). 2169–2176. 8 indexed citations
14.
Rieckert, Anja, Ewoud Schuit, Nienke Bleijenberg, et al.. (2021). How can we build and maintain the resilience of our health care professionals during COVID-19? Recommendations based on a scoping review. BMJ Open. 11(1). e043718–e043718. 105 indexed citations
15.
Bosch, L. Van den, Ewoud Schuit, Hans Paul van der Laan, et al.. (2020). Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy. Radiotherapy and Oncology. 148. 151–156. 34 indexed citations
16.
Panagiotou, Orestis A., Ewoud Schuit, Marcus R. Munafò, et al.. (2019). Smoking Cessation Pharmacotherapy Based on Genetically-Informed Biomarkers: What is the Evidence?. Nicotine & Tobacco Research. 21(9). 1289–1293. 7 indexed citations
17.
Hooft, Janneke van ’t, Brent C. Opmeer, Aleid G. van Wassenaer‐Leemhuis, et al.. (2018). Pessary for prevention of preterm birth in twin pregnancy with short cervix: 3‐year follow‐up study. Ultrasound in Obstetrics and Gynecology. 51(5). 621–628. 16 indexed citations
18.
Liem, Sophie, Ewoud Schuit, Maria G. van Pampus, et al.. (2016). Cervical pessaries to prevent preterm birth in women with a multiple pregnancy: a per‐protocol analysis of a randomized clinical trial. Acta Obstetricia Et Gynecologica Scandinavica. 95(4). 444–451. 9 indexed citations
19.
Baker, Stuart G., Ewoud Schuit, Ewout W. Steyerberg, et al.. (2014). How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through. Statistics in Medicine. 33(22). 3946–3959. 48 indexed citations
20.
Meurs, Hannah S. van, Ewoud Schuit, Hugo M. Horlings, et al.. (2014). Development and internal validation of a prognostic model to predict recurrence free survival in patients with adult granulosa cell tumors of the ovary. Gynecologic Oncology. 134(3). 498–504. 19 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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