Merel van Diepen

4.6k total citations · 1 hit paper
98 papers, 2.7k citations indexed

About

Merel van Diepen is a scholar working on Nephrology, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Merel van Diepen has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Nephrology, 23 papers in Economics and Econometrics and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Merel van Diepen's work include Dialysis and Renal Disease Management (30 papers), Chronic Kidney Disease and Diabetes (28 papers) and Health Systems, Economic Evaluations, Quality of Life (15 papers). Merel van Diepen is often cited by papers focused on Dialysis and Renal Disease Management (30 papers), Chronic Kidney Disease and Diabetes (28 papers) and Health Systems, Economic Evaluations, Quality of Life (15 papers). Merel van Diepen collaborates with scholars based in Netherlands, Sweden and United Kingdom. Merel van Diepen's co-authors include Friedo W. Dekker, Chava L. Ramspek, Kitty J. Jager, Carmine Zoccali, Philip Hans Franses, Bas Donkers, Edouard L. Fu, Juan Jesús Carrero, Ype de Jong and Marie Evans and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Merel van Diepen

93 papers receiving 2.6k 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.

External validation of prognostic models: what, why, how, when and where?

2020 481 citations Chava L. Ramspek, Kitty J. Jager et al. Clinical Kidney Journal profile →

Peers

Merel van Diepen

NEPHR

CCM

SURGE

EPIDE

PRM

Jinwei Wang China

Karen Yeates Canada

Robert A. Greevy United States

Zhu Wang United States

Selim Kılıç Türkiye

Vianda S Stel Netherlands

Romain Pirracchio France

Fang Wang China

Mei Wang China

Karen Leffondré France

Jinwei Wang China

Merel van Diepen

1.1k ×1.6

NEPHR

374 ×0.7

CCM

342 ×1.1

SURGE

322 ×1.1

EPIDE

341 ×1.2

PRM

Citations per year, relative to Merel van Diepen Merel van Diepen (= 1×) peers Jinwei Wang

Countries citing papers authored by Merel van Diepen

Since Specialization

Citations

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

Fields of papers citing papers by Merel van Diepen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merel van Diepen

This figure shows the co-authorship network connecting the top 25 collaborators of Merel van Diepen. A scholar is included among the top collaborators of Merel van Diepen 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 Merel van Diepen. Merel van Diepen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Janse, Roemer J., Vianda S Stel, Kitty J. Jager, et al.. (2025). When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes. Clinical Kidney Journal. 18(4). sfaf059–sfaf059. 1 indexed citations

Janse, Roemer J., Joris I. Rotmans, Fergus Caskey, et al.. (2025). Predicting Hospitalization and Related Outcomes in Advanced Chronic Kidney Disease: A Systematic Review, External Validation, and Development Study. Kidney Medicine. 7(7). 101016–101016. 1 indexed citations

Harimurti, Kuntjoro, et al.. (2025). Prevalence, incidence and risk factors of chronic kidney disease in people with diabetes and hypertension, and the prognosis and kidney function decline in Indonesia: a multicentre cross-sectional study in primary care centres. BMJ Open. 15(10). e103779–e103779.

Dekkers, Olaf M., et al.. (2024). The Etiology of Advanced Chronic Kidney Disease in Southeast Asia: A Meta-analysis. Journal of Epidemiology and Global Health. 14(3). 740–764. 5 indexed citations

Ramspek, Chava L., Roemer J. Janse, Willem Jan W. Bos, et al.. (2023). Prognostic Models in Nephrology: Where Do We Stand and Where Do We Go from Here? Mapping Out the Evidence in a Scoping Review. Journal of the American Society of Nephrology. 35(3). 367–380. 7 indexed citations

Janse, Roemer J., Esmée Venema, David M. Kent, et al.. (2023). Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement. Journal of Clinical Epidemiology. 159. 159–173. 7 indexed citations

Suhardjono, Suhardjono Suhardjono, et al.. (2023). The Etiology of Kidney Failure in Indonesia: A Multicenter Study in Tertiary-Care Centers in Jakarta. Annals of Global Health. 89(1). 36–36. 4 indexed citations

Janse, Roemer J., Edouard L. Fu, Catherine M. Clase, et al.. (2022). Stopping versus continuing renin–angiotensin–system inhibitors after acute kidney injury and adverse clinical outcomes: an observational study from routine care data. Clinical Kidney Journal. 15(6). 1109–1119. 9 indexed citations

Trines, Serge A., Rolf H. H. Groenwold, Olaf M. Dekkers, et al.. (2022). Comprehensive comparison of stroke risk score performance: a systematic review and meta-analysis among 6 267 728 patients with atrial fibrillation. EP Europace. 24(11). 1739–1753. 21 indexed citations

10.

Ramspek, Chava L., Barbara Ferrari, Merel van Diepen, et al.. (2022). External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019. European Journal of Internal Medicine. 102. 63–71. 3 indexed citations

11.

Ommering, Belinda W. C., et al.. (2021). The importance of motivation in selecting undergraduate medical students for extracurricular research programmes. SHILAP Revista de lepidopterología.

12.

Janse, Roemer J., Tiny Hoekstra, Kitty J. Jager, et al.. (2021). Conducting correlation analysis: important limitations and pitfalls. Clinical Kidney Journal. 14(11). 2332–2337. 114 indexed citations

13.

Ramspek, Chava L., Marie Evans, Christoph Wanner, et al.. (2021). Kidney Failure Prediction Models: A Comprehensive External Validation Study in Patients with Advanced CKD. Journal of the American Society of Nephrology. 32(5). 1174–1186. 47 indexed citations

14.

Geloven, Nan van, Sonja A. Swanson, Chava L. Ramspek, et al.. (2020). Prediction meets causal inference: the role of treatment in clinical prediction models. Data Archiving and Networked Services (DANS). 58 indexed citations

15.

Janmaat, Cynthia, Merel van Diepen, Roula Tsonaka, et al.. (2018). Pitfalls of linear regression for estimating slopes over time and how to avoid them by using linear mixed-effects models. Nephrology Dialysis Transplantation. 34(4). 561–566. 24 indexed citations

16.

Polinder‐Bos, Harmke A., Merel van Diepen, Friedo W. Dekker, et al.. (2018). Lower body mass index and mortality in older adults starting dialysis. Scientific Reports. 8(1). 12858–12858. 9 indexed citations

17.

Franssen, Casper, Ido P. Kema, Merel van Diepen, et al.. (2018). Longitudinal Associations Between Inflammation and Depressive Symptoms in Chronic Dialysis Patients. Psychosomatic Medicine. 81(1). 74–80. 6 indexed citations

18.

Donkers, Bas, Merel van Diepen, & Philip Hans Franses. (2017). Do charities get more when they ask more often? Evidence from a unique field experiment. RePub (Erasmus University, Rotterdam). 21 indexed citations

19.

Diepen, Merel van, Bas Donkers, & Philip Hans Franses. (2006). Irritation Due to Direct Mailings from Charities. SSRN Electronic Journal. 4 indexed citations

20.

Diepen, Merel van, Bas Donkers, & Philip Hans Franses. (2006). Dynamic and Competitive Effects of Direct Mailings. SSRN Electronic Journal. 6 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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