David van Klaveren

9.1k total citations · 4 hit papers
121 papers, 4.5k citations indexed

About

David van Klaveren is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, David van Klaveren has authored 121 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 30 papers in Cardiology and Cardiovascular Medicine and 27 papers in Epidemiology. Recurrent topics in David van Klaveren's work include Health Systems, Economic Evaluations, Quality of Life (23 papers), Coronary Interventions and Diagnostics (20 papers) and Statistical Methods in Clinical Trials (11 papers). David van Klaveren is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (23 papers), Coronary Interventions and Diagnostics (20 papers) and Statistical Methods in Clinical Trials (11 papers). David van Klaveren collaborates with scholars based in Netherlands, United States and United Kingdom. David van Klaveren's co-authors include Ewout W. Steyerberg, David M. Kent, Patrick W. Serruys, Antonio Colombo, Yvonne Vergouwe, Gregg W. Stone, Yoshinobu Onuma, Peter C. Austin, Stephan Windecker and Marco Valgimigli and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

David van Klaveren

110 papers receiving 4.4k citations

Hit Papers

align trajectories

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.

Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) score: a pooled analysis of individual-patient datasets from clinical trials

2017 659 citations David van Klaveren, Ewout W. Steyerberg et al. profile →
Anatomical and clinical characteristics to guide decision making between coronary artery bypass surgery and percutaneous coronary intervention for individual patients: development and validation of SYNTAX score II

2013 503 citations David van Klaveren, Ewout W. Steyerberg et al. profile →
Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects

2018 258 citations David M. Kent, Ewout W. Steyerberg et al. profile →
The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement

2019 220 citations David M. Kent, Jessica K. Paulus et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David van Klaveren Netherlands	32	2.1k	1.8k	753	650	574	121	4.5k
Eric L. Eisenstein United States	33	2.0k 1.0×	1.6k 0.9×	459 0.6×	714 1.1×	206 0.4×	141	4.2k
Usman Baber United States	36	3.3k 1.6×	2.4k 1.4×	1.0k 1.3×	817 1.3×	430 0.7×	193	5.7k
Ignacio Ferreira‐González Spain	34	2.4k 1.2×	1.2k 0.7×	474 0.6×	959 1.5×	861 1.5×	201	4.0k
Ralph B. D' Agostino United States	8	2.0k 1.0×	1000 0.6×	750 1.0×	642 1.0×	984 1.7×	12	5.1k
George C.M. Siontis Switzerland	32	3.1k 1.5×	1.5k 0.9×	855 1.1×	738 1.1×	1.1k 2.0×	104	4.9k
Hicham Skali United States	49	5.8k 2.8×	1.2k 0.7×	1.5k 2.0×	2.0k 3.1×	835 1.5×	157	8.7k
Étienne Gayat France	40	2.7k 1.3×	1.6k 0.9×	339 0.5×	956 1.5×	942 1.6×	228	6.0k
Yea‐Huei Kao Yang Taiwan	31	1.1k 0.5×	743 0.4×	211 0.3×	553 0.9×	1.0k 1.8×	107	4.8k
Patrick S. Parfrey Canada	21	2.4k 1.2×	1.2k 0.7×	465 0.6×	1.3k 2.0×	445 0.8×	44	7.8k
Fabrizio D’Ascenzo Italy	43	4.8k 2.3×	3.1k 1.7×	1.4k 1.8×	1.2k 1.8×	814 1.4×	285	6.9k

Countries citing papers authored by David van Klaveren

Since Specialization

Citations

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

Fields of papers citing papers by David van Klaveren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David van Klaveren. 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 David van Klaveren. The network helps show where David van Klaveren may publish in the future.

Co-authorship network of co-authors of David van Klaveren

This figure shows the co-authorship network connecting the top 25 collaborators of David van Klaveren. A scholar is included among the top collaborators of David van Klaveren 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 David van Klaveren. David van Klaveren 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

Klaveren, David van, Sjoerd M. Lagarde, Hester F. Lingsma, et al.. (2025). Accuracy of Predicting Residual Disease and Disease Progression During Active Surveillance for Esophageal Cancer. Annals of Surgical Oncology. 33(2). 946–954.

Klaveren, David van, Sjoerd M. Lagarde, Hester F. Lingsma, et al.. (2025). 252. ACCURACY OF PREDICTING RESIDUAL DISEASE AND DISEASE PROGRESSION DURING ACTIVE SURVEILLANCE FOR ESOPHAGEAL CANCER. Diseases of the Esophagus. 38(Supplement_1).

Mancino, Enrica, Marianne Brouwer, Eric de Groot, et al.. (2025). Early‐life prediction of school‐age asthma among recurrent Wheezers in preschoolers: The WHEEP study. Pediatric Allergy and Immunology. 36(10). e70219–e70219. 1 indexed citations

Leeuwen, Nikki van, et al.. (2025). Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models. Journal of Crohn s and Colitis. 19(2). 2 indexed citations

Sneiders, Dimitri, David van Klaveren, E.G.J.M. Pierik, et al.. (2024). PREVENTION OF INCISIONAL HERNIA WITH PROPHYLACTIC ONLAY AND SUBLAY MESH REINFORCEMENT VERSUS PRIMARY SUTURE ONLY IN MIDLINE LAPAROTOMIES (PRIMA): LONG-TERM OUTCOMES OF A MULTICENTRE, DOUBLE-BLIND, RANDOMISED CONTROLLED TRIAL. British journal of surgery. 111(Supplement_5).

Klaveren, David van, Otto Visser, Matthias A.W. Merkx, et al.. (2023). Number of life-years lost at the time of diagnosis and several years post-diagnosis in patients with solid malignancies: a population-based study in the Netherlands, 1989–2019. EClinicalMedicine. 60. 101994–101994. 1 indexed citations

Ninomiya, Kai, Shigetaka Kageyama, Hiroki Shiomi, et al.. (2023). Can Machine Learning Aid the Selection of Percutaneous vs Surgical Revascularization?. Journal of the American College of Cardiology. 82(22). 2113–2124. 15 indexed citations

Venables, Zoe C, Harmen J.G. van de Werken, Domenico Bellomo, et al.. (2023). Personalised decision making to predict absolute metastatic risk in cutaneous squamous cell carcinoma: development and validation of a clinico-pathological model. EClinicalMedicine. 63. 102150–102150. 11 indexed citations

Geersing, Geert‐Jan, Martin E W Hemels, Michiel Rienstra, et al.. (2023). Integrated care in patients with atrial fibrillation- a predictive heterogeneous treatment effect analysis of the ALL-IN trial. PLoS ONE. 18(10). e0292586–e0292586. 9 indexed citations

10.

Klaveren, David van, et al.. (2023). A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases. npj Digital Medicine. 6(1). 58–58. 7 indexed citations

11.

Levy, Todd, Kevin Coppa, Douglas P. Barnaby, et al.. (2022). Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients. Nature Communications. 13(1). 6812–6812. 11 indexed citations

12.

Beumer, Berend R., Wojciech G. Polak, Robert A. de Man, et al.. (2022). Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group. JHEP Reports. 5(2). 100629–100629. 6 indexed citations

13.

Austin, Peter C., Hein Putter, Daniele Giardiello, & David van Klaveren. (2022). Graphical calibration curves and the integrated calibration index (ICI) for competing risk models. SHILAP Revista de lepidopterología. 6(1). 2–2. 21 indexed citations

14.

Roozenbeek, Bob, Simone A. Dijkland, Rúben Dammers, et al.. (2022). Endovascular versus neurosurgical aneurysm treatment: study protocol for the development and validation of a clinical prediction tool for individualised decision making. BMJ Open. 12(12). e065903–e065903. 2 indexed citations

15.

Wessler, Benjamin S., Jason Nelson, Gaurav Gulati, et al.. (2021). External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature. Circulation Cardiovascular Quality and Outcomes. 14(8). e007858–e007858. 39 indexed citations

16.

Klaveren, David van, Eduardus F. M. Posthuma, Otto Visser, et al.. (2021). The evolution of the loss of life expectancy in patients with chronic myeloid leukaemia: a population‐based study in the Netherlands, 1989–2018. British Journal of Haematology. 196(5). 1219–1224. 14 indexed citations

17.

Austin, Peter C., Frank E. Harrell, & David van Klaveren. (2020). Graphical calibration curves and the integrated calibration index (ICI) for survival models. Statistics in Medicine. 39(21). 2714–2742. 105 indexed citations

18.

Paulus, Jessica K., Gowri Raman, John B. Wong, et al.. (2019). Predictive approaches to heterogeneous treatment effects: a systematic review. medRxiv.

19.

Pelt, Gabi W. van, Irene M. Lips, Femke P. Peters, et al.. (2019). The value of tumor-stroma ratio as predictor of pathologic response after neoadjuvant chemoradiotherapy in esophageal cancer. Clinical and Translational Radiation Oncology. 20. 39–44. 24 indexed citations

20.

Fustolo‐Gunnink, Susanna F., Karin Fijnvandraat, David van Klaveren, et al.. (2019). Preterm neonates benefit from low prophylactic platelet transfusion threshold despite varying risk of bleeding or death. Blood. 134(26). 2354–2360. 46 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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