Folkert W. Asselbergs

56.9k total citations · 4 hit papers
470 papers, 10.9k citations indexed

About

Folkert W. Asselbergs is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Folkert W. Asselbergs has authored 470 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 282 papers in Cardiology and Cardiovascular Medicine, 87 papers in Molecular Biology and 80 papers in Surgery. Recurrent topics in Folkert W. Asselbergs's work include Heart Failure Treatment and Management (63 papers), Cardiomyopathy and Myosin Studies (56 papers) and Cardiovascular Function and Risk Factors (54 papers). Folkert W. Asselbergs is often cited by papers focused on Heart Failure Treatment and Management (63 papers), Cardiomyopathy and Myosin Studies (56 papers) and Cardiovascular Function and Risk Factors (54 papers). Folkert W. Asselbergs collaborates with scholars based in Netherlands, United Kingdom and United States. Folkert W. Asselbergs's co-authors include Jason H. Moore, Scott M. Williams, Wiek H. van Gilst, Hans L. Hillege, Peter Atadja, Lin Gao, Maria A. Cueto, Dirk J. van Veldhuisen, Adriaan A. Voors and Pim van der Harst and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

In The Last Decade

Folkert W. Asselbergs

450 papers receiving 10.7k citations

Hit Papers

Cloning and Functional Characterization of HDAC11, a Nove... 2002 2026 2010 2018 2002 2019 2020 2025 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
Folkert W. Asselbergs Netherlands 47 5.1k 2.8k 1.7k 1.2k 1.0k 470 10.9k
Iftikhar J. Kullo United States 53 2.6k 0.5× 1.9k 0.7× 2.3k 1.4× 1.6k 1.2× 911 0.9× 289 9.3k
Martin Landray United Kingdom 37 2.1k 0.4× 1.4k 0.5× 1.5k 0.9× 2.1k 1.7× 1.2k 1.2× 124 11.4k
Tong Liu China 58 5.9k 1.1× 3.1k 1.1× 1.8k 1.1× 330 0.3× 1.3k 1.3× 722 14.0k
David L. DeMets United States 52 3.9k 0.8× 1.2k 0.4× 1.9k 1.2× 1.2k 0.9× 1.7k 1.7× 163 14.3k
Amit V. Khera United States 34 3.3k 0.6× 2.3k 0.8× 2.2k 1.3× 3.4k 2.7× 1.3k 1.3× 104 11.5k
Juan P. Casas United Kingdom 46 2.3k 0.4× 1.1k 0.4× 1.2k 0.7× 965 0.8× 977 1.0× 127 8.5k
Eric J.G. Sijbrands Netherlands 59 3.1k 0.6× 2.0k 0.7× 5.1k 3.0× 1.2k 1.0× 3.1k 3.1× 276 12.5k
Hiroyuki Daida Japan 52 5.5k 1.1× 2.2k 0.8× 4.8k 2.8× 431 0.3× 2.3k 2.2× 737 14.1k
Sungha Park South Korea 49 4.0k 0.8× 1.1k 0.4× 1.8k 1.1× 300 0.2× 1.1k 1.1× 451 9.3k
Sekar Kathiresan United States 53 3.2k 0.6× 3.2k 1.1× 3.2k 1.9× 4.7k 3.8× 2.3k 2.2× 106 13.8k

Countries citing papers authored by Folkert W. Asselbergs

Since Specialization
Citations

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

Fields of papers citing papers by Folkert W. Asselbergs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Folkert W. Asselbergs. 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 Folkert W. Asselbergs. The network helps show where Folkert W. Asselbergs may publish in the future.

Co-authorship network of co-authors of Folkert W. Asselbergs

This figure shows the co-authorship network connecting the top 25 collaborators of Folkert W. Asselbergs. A scholar is included among the top collaborators of Folkert W. Asselbergs 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 Folkert W. Asselbergs. Folkert W. Asselbergs 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.
Dhingra, Lovedeep Singh, Arya Aminorroaya, Veer Sangha, et al.. (2025). Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study. European Heart Journal. 46(11). 1044–1053. 20 indexed citations breakdown →
2.
Vugt, Marion van, Chris Finan, Sandesh Chopade, et al.. (2024). Integrating metabolomics and proteomics to identify novel drug targets for heart failure and atrial fibrillation. Genome Medicine. 16(1). 120–120. 5 indexed citations
3.
Jansen, M., Remco de Brouwer, Amand F. Schmidt, et al.. (2023). Penetrance and Prognosis of MYH7 Variant-Associated Cardiomyopathies. JACC Heart Failure. 12(1). 134–147. 9 indexed citations
4.
Oosterhoff, Loes A., Hedwig S. Kruitwagen, J.C.M. Vernooij, et al.. (2023). Locational memory of macrovessel vascular cells is transcriptionally imprinted. Scientific Reports. 13(1). 13028–13028. 1 indexed citations
5.
Brugts, Jasper J., Lars H. Lund, Gerard C.M. Linssen, et al.. (2023). Identifying distinct clinical clusters in heart failure with mildly reduced ejection fraction. International Journal of Cardiology. 386. 83–90. 9 indexed citations
6.
Asselbergs, Folkert W., Spiros Denaxas, Daniel L. Oberski, & Jason H. Moore. (2023). Clinical Applications of Artificial Intelligence in Real-World Data. 2 indexed citations
7.
Wilson, M.G.F., et al.. (2022). Integrated rapid-cycle comparative effectiveness trials using flexible point of care randomisation in electronic health record systems. Journal of Biomedical Informatics. 137. 104273–104273. 2 indexed citations
8.
Papež, Václav, Erica A. Voss, Elena Garcia Lara, et al.. (2022). Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. Journal of the American Medical Informatics Association. 30(1). 103–111. 27 indexed citations
9.
Gill, Simrat, Karina V Bunting, Claudio Sartini, et al.. (2022). Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis. Heart. 108(20). 1600–1607. 34 indexed citations
10.
Vonk, Jet M. J., Yaakov Stern, Folkert W. Asselbergs, et al.. (2022). The role of cognitive and brain reserve in memory decline and atrophy rate in mid and late-life: The SMART-MR study. Cortex. 148. 204–214. 13 indexed citations
11.
Vugt, Marion van, Bram Ruijsink, Jessica van Setten, et al.. (2022). Prevalence and Disease Expression of Pathogenic and Likely Pathogenic Variants Associated With Inherited Cardiomyopathies in the General Population. Circulation Genomic and Precision Medicine. 15(6). e003704–e003704. 34 indexed citations
12.
Jansen, M., Imke Christiaans, Saskia N. van der Crabben, et al.. (2021). BIO FOr CARE: biomarkers of hypertrophic cardiomyopathy development and progression in carriers of Dutch founder truncating MYBPC3 variants—design and status. Netherlands Heart Journal. 29(6). 318–329. 6 indexed citations
13.
Al‐Rubaish, Abdullah M., Fahad Al‐Muhanna, Abdullah Alshehri, et al.. (2021). Prevalence of CYP2C19*2 carriers in Saudi ischemic stroke patients and the suitability of using genotyping to guide antiplatelet therapy in a university hospital setup. Drug Metabolism and Personalized Therapy. 37(1). 35–40. 6 indexed citations
14.
Peters, Tricia M., Michael V. Holmes, J. Brent Richards, et al.. (2020). Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis. Diabetes Care. 44(2). 556–562. 26 indexed citations
15.
Howe, Laurence J, Frank Dudbridge, Amand F. Schmidt, et al.. (2020). Polygenic risk scores for coronary artery disease and subsequent event risk amongst established cases. Human Molecular Genetics. 29(8). 1388–1395. 23 indexed citations
16.
Claassens, Daniel M.F., Gerrit J.A. Vos, Thomas O. Bergmeijer, et al.. (2019). A Genotype-Guided Strategy for Oral P2Y 12 Inhibitors in Primary PCI. New England Journal of Medicine. 381(17). 1621–1631. 378 indexed citations breakdown →
17.
Linschoten, Marijke, Maarten J. Cramer, Eelke Gort, et al.. (2019). Cancer Therapy-Related Cardiac Dysfunction of Nonanthracycline Chemotherapeutics. JACC CardioOncology. 1(2). 280–290. 21 indexed citations
18.
Haitjema, Saskia, Daniel Kofink, Jessica van Setten, et al.. (2017). Loss of Y Chromosome in Blood Is Associated With Major Cardiovascular Events During Follow-Up in Men After Carotid Endarterectomy. Circulation Cardiovascular Genetics. 10(4). e001544–e001544. 70 indexed citations
19.
Gho, Johannes M.I.H., Stefan Koudstaal, Sanne J. Jansen of Lorkeers, et al.. (2013). Cell Therapy, a Novel Remedy for Dilated Cardiomyopathy? A Systematic Review. Journal of Cardiac Failure. 19(7). 494–502. 21 indexed citations
20.
Lipšic, Erik, et al.. (2005). Anaemia predicts cardiovascular events in patients with stable coronary artery disease.. PubMed Central. 13(7-8). 254–258. 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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