Stefan van der Elst

2.3k total citations
7 papers, 612 citations indexed

About

Stefan van der Elst is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stefan van der Elst has authored 7 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Stefan van der Elst's work include Congenital heart defects research (2 papers), Cardiac Structural Anomalies and Repair (1 paper) and Manufacturing Process and Optimization (1 paper). Stefan van der Elst is often cited by papers focused on Congenital heart defects research (2 papers), Cardiac Structural Anomalies and Repair (1 paper) and Manufacturing Process and Optimization (1 paper). Stefan van der Elst collaborates with scholars based in Netherlands, Belgium and France. Stefan van der Elst's co-authors include Eva van Rooij, Daniëlle Versteeg, Johan H. van Es, Hans Clevers, Onur Başak, Hesther de Ruiter, Monika M Gladka, Bas Molenaar, Manon M. H. Huibers and Grégory Lacraz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The EMBO Journal.

In The Last Decade

Stefan van der Elst

6 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan van der Elst Netherlands 6 478 155 111 90 55 7 612
Sirisha Cheedipudi United States 17 597 1.2× 166 1.1× 51 0.5× 57 0.6× 63 1.1× 24 809
Amer A. Rana United Kingdom 16 460 1.0× 109 0.7× 31 0.3× 71 0.8× 72 1.3× 29 769
Victoria C. Garside Canada 11 455 1.0× 76 0.5× 51 0.5× 77 0.9× 86 1.6× 15 614
Alexander Y. Lin United States 13 414 0.9× 50 0.3× 114 1.0× 88 1.0× 44 0.8× 19 888
Zachary Harrelson United States 8 647 1.4× 58 0.4× 49 0.4× 117 1.3× 45 0.8× 10 788
Megan Masters United Kingdom 5 304 0.6× 167 1.1× 256 2.3× 155 1.7× 20 0.4× 5 587
Bogac L. Kaynak Finland 9 546 1.1× 84 0.5× 15 0.1× 79 0.9× 36 0.7× 15 656
Tomohisa Sekimoto Japan 13 314 0.7× 26 0.2× 79 0.7× 133 1.5× 81 1.5× 33 589
Catherine Paulissen Belgium 8 868 1.8× 85 0.5× 24 0.2× 251 2.8× 82 1.5× 9 944

Countries citing papers authored by Stefan van der Elst

Since Specialization
Citations

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

Fields of papers citing papers by Stefan van der Elst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan van der Elst. 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 Stefan van der Elst. The network helps show where Stefan van der Elst may publish in the future.

Co-authorship network of co-authors of Stefan van der Elst

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

All Works

7 of 7 papers shown
1.
Sofiadis, Konstantinos, Marjon J.A.M. Verstegen, Christian Valdes‐Quezada, et al.. (2022). Building regulatory landscapes reveals that an enhancer can recruit cohesin to create contact domains, engage CTCF sites and activate distant genes. Nature Structural & Molecular Biology. 29(6). 563–574. 93 indexed citations
2.
Kretzschmar, Kai, Yorick Post, Marie Bannier-Hélaouët, et al.. (2018). Profiling proliferative cells and their progeny in damaged murine hearts. Proceedings of the National Academy of Sciences. 115(52). E12245–E12254. 122 indexed citations
3.
Gladka, Monika M, Bas Molenaar, Hesther de Ruiter, et al.. (2018). Single-Cell Sequencing of the Healthy and Diseased Heart Reveals Cytoskeleton-Associated Protein 4 as a New Modulator of Fibroblasts Activation. Circulation. 138(2). 166–180. 228 indexed citations
4.
Grudniewska, Magda, Stijn Mouton, Frank W. Beltman, et al.. (2016). Transcriptional signatures of somatic neoblasts and germline cells in Macrostomum lignano. eLife. 5. 40 indexed citations
5.
Başak, Onur, Jeroen Korving, Joep Beumer, et al.. (2014). Mapping early fate determination in L gr5 + crypt stem cells using a novel K i67‐ RFP allele. The EMBO Journal. 33(18). 2057–2068. 119 indexed citations
6.
Lesscher, Heidi M. B., Martien J. Kas, Stefan van der Elst, Hein A. van Lith, & Louk J. M. J. Vanderschuren. (2009). A grandparent-influenced locus for alcohol preference on mouse chromosome 2. Pharmacogenetics and Genomics. 19(9). 719–729. 9 indexed citations
7.
Elst, Stefan van der & Michel van Tooren. (2008). Domain Specific Modeling Languages to Support Model-Driven Engineering of Aircraft Systems. 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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