Wouter de Laat

816 total citations
10 papers, 429 citations indexed

About

Wouter de Laat is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Wouter de Laat has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Neurology. Recurrent topics in Wouter de Laat's work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (4 papers) and Cancer-related gene regulation (2 papers). Wouter de Laat is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (4 papers) and Cancer-related gene regulation (2 papers). Wouter de Laat collaborates with scholars based in Netherlands, United States and Germany. Wouter de Laat's co-authors include Peter H.L. Krijger, Valerio Bianchi, Geert Geeven, Catharina R.E. Hilvering, Patrick T. Ellinor, Nathan R. Tucker, Konstantinos Sofiadis, Christian Valdes‐Quezada, Stefan van der Elst and Marjon J.A.M. Verstegen and has published in prestigious journals such as Nature Communications, Circulation Research and Nature Structural & Molecular Biology.

In The Last Decade

Wouter de Laat

10 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wouter de Laat Netherlands	8	350	85	57	46	42	10	429
Michelle C. Ward United States	10	413 1.2×	127 1.5×	73 1.3×	19 0.4×	39 0.9×	20	526
Valentina Casà Italy	7	563 1.6×	100 1.2×	43 0.8×	22 0.5×	185 4.4×	8	606
Gennadiy Tenin United Kingdom	9	340 1.0×	69 0.8×	26 0.5×	15 0.3×	13 0.3×	14	386
Janice C. Palumbos United States	8	245 0.7×	161 1.9×	28 0.5×	16 0.3×	13 0.3×	13	391
Ana Vasileva United States	9	358 1.0×	210 2.5×	74 1.3×	11 0.2×	56 1.3×	11	524
Jennifer C. Harr United States	6	393 1.1×	32 0.4×	47 0.8×	13 0.3×	14 0.3×	8	457
Liana Fasching United States	6	354 1.0×	75 0.9×	165 2.9×	10 0.2×	104 2.5×	9	448
Tristin Liu United States	4	488 1.4×	113 1.3×	57 1.0×	7 0.2×	49 1.2×	4	540
Claudia Chavarria United States	6	215 0.6×	65 0.8×	24 0.4×	7 0.2×	26 0.6×	8	294
Ann-Kristin Östlund Farrants Sweden	6	423 1.2×	48 0.6×	11 0.2×	46 1.0×	20 0.5×	6	459

Countries citing papers authored by Wouter de Laat

Since Specialization

Citations

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

Fields of papers citing papers by Wouter de Laat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter de Laat. 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 Wouter de Laat. The network helps show where Wouter de Laat may publish in the future.

Co-authorship network of co-authors of Wouter de Laat

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

All Works

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10 of 10 papers shown

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

Zaugg, Judith B., Pelin Sahlén, Robin Andersson, et al.. (2022). Current challenges in understanding the role of enhancers in disease. Nature Structural & Molecular Biology. 29(12). 1148–1158. 35 indexed citations

Castelijns, Bas, Marit W. Vermunt, Peng Shang, et al.. (2020). Hominin-specific regulatory elements selectively emerged in oligodendrocytes and are disrupted in autism patients. Nature Communications. 11(1). 301–301. 29 indexed citations

Hall, Amelia Weber, Zachary A. Kadow, Jasmeet S. Reyat, et al.. (2020). Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation. Circulation Research. 127(1). 34–50. 47 indexed citations

Castelijns, Bas, Geert Geeven, Marit W. Vermunt, et al.. (2020). Recently Evolved Enhancers Emerge with High Interindividual Variability and Less Frequently Associate with Disease. Cell Reports. 31(12). 107799–107799. 6 indexed citations

Hall, Amelia Weber, Mark Chaffin, Carolina Roselli, et al.. (2020). Epigenetic Analyses of Human Left Atrial Tissue Identifies Gene Networks Underlying Atrial Fibrillation. Circulation Genomic and Precision Medicine. 13(6). e003085–e003085. 14 indexed citations

Krijger, Peter H.L., Geert Geeven, Valerio Bianchi, Catharina R.E. Hilvering, & Wouter de Laat. (2019). 4C-seq from beginning to end: A detailed protocol for sample preparation and data analysis. Methods. 170. 17–32. 118 indexed citations

Geeven, Geert, Phil Barnett, Gabriël J.E. Rinkel, et al.. (2019). Chromatin Conformation Links Putative Enhancers in Intracranial Aneurysm–Associated Regions to Potential Candidate Genes. Journal of the American Heart Association. 8(9). e011201–e011201. 7 indexed citations

Bianchi, Valerio, Geert Geeven, Nathan R. Tucker, et al.. (2019). Detailed Regulatory Interaction Map of the Human Heart Facilitates Gene Discovery for Cardiovascular Disease. SSRN Electronic Journal. 2 indexed citations

10.

Wang, Xinchen, Nathan R. Tucker, Gizem Rizki, et al.. (2016). Discovery and validation of sub-threshold genome-wide association study loci using epigenomic signatures. eLife. 5. 78 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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