Dennis Dooijes

10.7k total citations · 1 hit paper
110 papers, 5.7k citations indexed

About

Dennis Dooijes is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Dennis Dooijes has authored 110 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cardiology and Cardiovascular Medicine, 42 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Dennis Dooijes's work include Cardiomyopathy and Myosin Studies (38 papers), Cardiovascular Effects of Exercise (36 papers) and Sports injuries and prevention (15 papers). Dennis Dooijes is often cited by papers focused on Cardiomyopathy and Myosin Studies (38 papers), Cardiovascular Effects of Exercise (36 papers) and Sports injuries and prevention (15 papers). Dennis Dooijes collaborates with scholars based in Netherlands, United States and United Kingdom. Dennis Dooijes's co-authors include Hans Clevers, Marc van de Wetering, Mariëtte A. Oosterwegel, Moniek van Beest, Michelle Michels, Folkert J. ten Cate, Mark A. Mortin, Tamara L. Jones, Rossana Cavallo and Deborah A. Hursh and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dennis Dooijes

107 papers receiving 5.6k citations

Hit Papers

Armadillo Coactivates Transcription Driven by the Product... 1997 2026 2006 2016 1997 250 500 750 1000
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. Armadillo Coactivates Transcription Driven by the Product of the Drosophila Segment Polarity Gene dTCF
    1997 1.0k citations Dennis Dooijes et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis Dooijes Netherlands 38 3.2k 2.1k 689 619 598 110 5.7k
Andrew H. Crosby United Kingdom 36 3.9k 1.2× 1.0k 0.5× 569 0.8× 862 1.4× 1.7k 2.8× 125 7.1k
Mireille Claustres France 46 4.3k 1.3× 439 0.2× 649 0.9× 1.8k 3.0× 744 1.2× 221 8.2k
Peter Hackman Finland 30 2.8k 0.9× 1.5k 0.7× 256 0.4× 302 0.5× 674 1.1× 96 3.6k
Margaret Robertson United States 29 2.2k 0.7× 512 0.2× 1.7k 2.5× 567 0.9× 932 1.6× 46 5.7k
Duygu Selcen United States 35 2.3k 0.7× 979 0.5× 1.2k 1.7× 256 0.4× 765 1.3× 87 3.8k
Luke T. Krebs United States 18 2.3k 0.7× 643 0.3× 433 0.6× 221 0.4× 396 0.7× 22 3.1k
Haluk Topaloğlu Türkiye 49 5.5k 1.7× 753 0.4× 1.2k 1.7× 881 1.4× 1.8k 3.1× 261 8.2k
M. Leppert United States 40 2.8k 0.9× 405 0.2× 590 0.9× 1.4k 2.2× 646 1.1× 169 6.1k
G.J.B. van Ommen Netherlands 37 3.3k 1.0× 362 0.2× 274 0.4× 1.3k 2.1× 749 1.3× 91 4.8k
Bernd Wollnik Germany 36 2.8k 0.9× 532 0.3× 173 0.3× 1.6k 2.5× 306 0.5× 138 4.3k

Countries citing papers authored by Dennis Dooijes

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Dooijes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Dooijes

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Dooijes. A scholar is included among the top collaborators of Dennis Dooijes 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 Dennis Dooijes. Dennis Dooijes 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.
Jansen, M., Freyja H.M. van Lint, Laurens P. Bosman, et al.. (2024). Recreational and Occupational Physical Activity and Risk of Adverse Events in Truncating MYBPC3 Founder Variant Carriers. Circulation Genomic and Precision Medicine. 17(6). e004561–e004561. 2 indexed citations
2.
Gasperetti, Alessio, Mimount Bourfiss, Marish I.F.J. Oerlemans, et al.. (2024). Diagnostic value of late gadolinium enhancement at cardiovascular magnetic resonance to distinguish arrhythmogenic right ventricular cardiomyopathy from differentials. Journal of Cardiovascular Magnetic Resonance. 26(2). 101059–101059. 3 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.
Jansen, M., Amand F. Schmidt, Judith Jans, et al.. (2023). Circulating Acylcarnitines Associated with Hypertrophic Cardiomyopathy Severity: an Exploratory Cross-Sectional Study in MYBPC3 Founder Variant Carriers. Journal of Cardiovascular Translational Research. 16(6). 1267–1275. 4 indexed citations
5.
Jansen, M., Maike Schuldt, Amand F. Schmidt, et al.. (2023). Untargeted Metabolomics Identifies Potential Hypertrophic Cardiomyopathy Biomarkers in Carriers of MYBPC3 Founder Variants. International Journal of Molecular Sciences. 24(4). 4031–4031. 9 indexed citations
6.
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
7.
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
8.
Lint, Freyja H.M. van, Brittney Murray, Crystal Tichnell, et al.. (2019). Arrhythmogenic Right Ventricular Cardiomyopathy-Associated Desmosomal Variants Are Rarely De Novo. Circulation Genomic and Precision Medicine. 12(8). e002467–e002467. 37 indexed citations
9.
Murray, Brittney, Edgar T. Hoorntje, Anneline S.J.M. te Riele, et al.. (2018). Identification of sarcomeric variants in probands with a clinical diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC). Journal of Cardiovascular Electrophysiology. 29(7). 1004–1009. 14 indexed citations
10.
Baas, Annette F., Wilko Spiering, Frans L. Moll, et al.. (2016). Six uneventful pregnancy outcomes in an extended vascular Ehlers–Danlos syndrome family. American Journal of Medical Genetics Part A. 173(2). 519–523. 5 indexed citations
11.
Harakaľová, Magdaléna, Arjan Sammani, Marijke Linschoten, et al.. (2015). A Systematic Analysis of Genetic Dilated Cardiomyopathy Reveals Numerous Ubiquitously Expressed and Muscle-Specific Genes. European Journal of Heart Failure. 17(5). 484–493. 45 indexed citations
12.
Pol, W. Ludo van der, et al.. (2014). Nemaline myopathy caused by TNNT1 mutations in a Dutch pedigree. Molecular Genetics and Genomics. 2 indexed citations
13.
Groeneweg, Judith A., Paul A. van der Zwaag, Louise R.A. Olde Nordkamp, et al.. (2013). Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy According to Revised 2010 Task Force Criteria With Inclusion of Non-Desmosomal Phospholamban Mutation Carriers. The American Journal of Cardiology. 112(8). 1197–1206. 39 indexed citations
14.
Dijk, Sabine J. van, Nicky M. Boontje, Martijn W. Heymans, et al.. (2013). Preserved cross-bridge kinetics in human hypertrophic cardiomyopathy patients with MYBPC3 mutations. Pflügers Archiv - European Journal of Physiology. 466(8). 1619–1633. 12 indexed citations
15.
Groeneweg, Judith A., Paul A. van der Zwaag, Christian van der Werf, et al.. (2011). Abstract 12326: Revised 2010 Task Force Criteria for ARVD/C Diagnosis Promote Inclusion of Non-Desmosomal Mutation Carriers. Circulation. 124. 1 indexed citations
16.
Boogerd, Cornelis J., Dennis Dooijes, Aho Ilgun, et al.. (2011). Functional analysis of novel TBX5 T-box mutations associated with Holt-Oram syndrome (vol 88, pg 130, 2010). Cardiovascular Research. 89(1).
17.
Smagt, Jasper J. van der, Martin Poot, Ron Hochstenbach, et al.. (2009). A duplication including GATA4 does not co‐segregate with congenital heart defects. American Journal of Medical Genetics Part A. 149A(5). 1062–1066. 12 indexed citations
18.
Hoogerbrugge, Jos W., Martin E. van Royen, Michel Molier, et al.. (2008). A novel mutation F826L in the human androgen receptor in partial androgen insensitivity syndrome; increased NH2-/COOH-terminal domain interaction and TIF2 co-activation. Molecular and Cellular Endocrinology. 292(1-2). 69–78. 12 indexed citations
19.
Umar, Arzu, Cor Berrevoets, Michaël Verbiest, et al.. (2005). Functional Analysis of a Novel Androgen Receptor Mutation, Q902K, in an Individual with Partial Androgen Insensitivity. The Journal of Clinical Endocrinology & Metabolism. 90(1). 507–515. 12 indexed citations
20.
Dooijes, Dennis, et al.. (2003). [From gene to disease: arteriohepatic dysplasia or Alagille syndrome].. PubMed. 147(25). 1213–5. 1 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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