Laure Wynants

12.8k total citations · 3 hit papers
72 papers, 3.6k citations indexed

About

Laure Wynants is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Epidemiology. According to data from OpenAlex, Laure Wynants has authored 72 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Obstetrics and Gynecology, 16 papers in Reproductive Medicine and 13 papers in Epidemiology. Recurrent topics in Laure Wynants's work include Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (13 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). Laure Wynants is often cited by papers focused on Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (13 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). Laure Wynants collaborates with scholars based in Belgium, Netherlands and United Kingdom. Laure Wynants's co-authors include Ben Van Calster, Ewout W. Steyerberg, Maarten van Smeden, D. Timmerman, David J. McLernon, Jan Y. Verbakel, Andrew J. Vickers, T. Bourne, Evangelia Christodoulou and Monique J. Roobol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and American Journal of Obstetrics and Gynecology.

In The Last Decade

Laure Wynants

65 papers receiving 3.6k citations

Hit Papers

Calibration: the Achilles heel of predictive analytics 2018 2026 2020 2023 2019 2018 2023 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Calibration: the Achilles heel of predictive analytics
    2019 910 citations Ben Van Calster, David J. McLernon et al. BMC Medicine profile →
  2. Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators
    2018 723 citations Ben Van Calster, Laure Wynants et al. European Urology profile →
  3. There is no such thing as a validated prediction model
    2023 117 citations Ben Van Calster, Ewout W. Steyerberg et al. BMC Medicine profile →

Peers

Laure Wynants
David J. McLernon United Kingdom
Joe Kai United Kingdom
Susan Dutton United Kingdom
Kym I E Snell United Kingdom
Nicole F. Dowling United States
Nicole Huang Taiwan
Paola Berchialla Italy
Benjamin Chan United States
James P. Moriarty United States
Justine Rochon Germany
David J. McLernon United Kingdom
Laure Wynants
Citations per year, relative to Laure Wynants Laure Wynants (= 1×) peers David J. McLernon

Countries citing papers authored by Laure Wynants

Since Specialization
Citations

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

Fields of papers citing papers by Laure Wynants

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Wynants

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Wynants. A scholar is included among the top collaborators of Laure Wynants 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 Laure Wynants. Laure Wynants 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.
2.
Arshi, Banafsheh, et al.. (2025). Number of Publications on New Clinical Prediction Models: A Bibliometric Review. JMIR Medical Informatics. 13. e62710–e62710.
3.
Kaul, T. K., Johanna AAG Damen, Laure Wynants, et al.. (2025). Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application. Journal of Clinical Epidemiology. 181. 111732–111732. 1 indexed citations
4.
Bussel, Bas C. T. van, Ronny M. Schnabel, Thijs T. W. van Herpt, et al.. (2024). Table 0; documenting the steps to go from clinical database to research dataset. Journal of Clinical Epidemiology. 170. 111342–111342. 4 indexed citations
5.
Wynants, Laure, Natascha J.H. Broers, Roderick P Venekamp, et al.. (2024). Development and validation of a risk prediction model for hospital admission in COVID-19 patients presenting to primary care. European Journal of General Practice. 30(1). 2339488–2339488. 2 indexed citations
6.
Calster, Ben Van, Ewout W. Steyerberg, Laure Wynants, & Maarten van Smeden. (2023). There is no such thing as a validated prediction model. BMC Medicine. 21(1). 70–70. 117 indexed citations breakdown →
7.
Heremans, Ruben, Laure Wynants, L. Valentin, et al.. (2023). Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA‐1 multinomial regression model: validation study. Ultrasound in Obstetrics and Gynecology. 63(4). 556–563. 1 indexed citations
8.
Dhiman, Paula, Gary S. Collins, Laure Wynants, et al.. (2023). The ADNEX risk prediction model for ovarian cancer diagnosis: A systematic review and meta-analysis of external validation studies. medRxiv. 2 indexed citations
9.
10.
Gao, Shan, Elena Albu, Krizia Tuand, et al.. (2023). Systematic review finds risk of bias and applicability concerns for models predicting central line-associated bloodstream infection. Journal of Clinical Epidemiology. 161. 127–139. 6 indexed citations
11.
Wynants, Laure, Jan Y. Verbakel, L. Valentin, et al.. (2022). The Risk of Endometrial Malignancy and Other Endometrial Pathology in Women with Abnormal Uterine Bleeding: An Ultrasound-Based Model Development Study by the IETA Group. Gynecologic and Obstetric Investigation. 87(1). 54–61. 7 indexed citations
12.
Trinh, Nhung TH, Joseph Freer, Laure Wynants, et al.. (2022). Antibiotic use in ambulatory care for acutely ill children in high-income countries: a systematic review and meta-analysis. Archives of Disease in Childhood. 107(12). 1088–1094. 20 indexed citations
13.
Farren, J., Maria Jalmbrant, N. Mitchell‐Jones, et al.. (2020). Differences in post‐traumatic stress, anxiety and depression following miscarriage or ectopic pregnancy between women and their partners: multicenter prospective cohort study. Ultrasound in Obstetrics and Gynecology. 57(1). 141–148. 35 indexed citations
14.
Calster, Ben Van, et al.. (2020). Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study. Biometrical Journal. 62(4). 932–944. 12 indexed citations
15.
Wynants, Laure, David M. Kent, D. Timmerman, Christine Lundquist, & Ben Van Calster. (2019). Untapped potential of multicenter studies: a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reporting. SHILAP Revista de lepidopterología. 3(1). 6–6. 28 indexed citations
16.
Wynants, Laure, Maarten van Smeden, David J. McLernon, et al.. (2019). Three myths about risk thresholds for prediction models. BMC Medicine. 17(1). 192–192. 114 indexed citations
17.
Wynants, Laure, Richard D Riley, D. Timmerman, & Ben Van Calster. (2018). Random‐effects meta‐analysis of the clinical utility of tests and prediction models. Statistics in Medicine. 37(12). 2034–2052. 29 indexed citations
18.
Calster, Ben Van, Laure Wynants, Jan Verbeek, et al.. (2018). Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators. European Urology. 74(6). 796–804. 723 indexed citations breakdown →
19.
Wynants, Laure, D. Timmerman, Jan Y. Verbakel, et al.. (2017). Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis. Clinical Cancer Research. 23(17). 5082–5090. 37 indexed citations
20.
Wynants, Laure, Gary S. Collins, & Ben Van Calster. (2016). Key steps and common pitfalls in developing and validating risk models. BJOG An International Journal of Obstetrics & Gynaecology. 124(3). 423–432. 68 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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