Erik Splinter

10.6k total citations · 5 hit papers
43 papers, 7.5k citations indexed

About

Erik Splinter is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Erik Splinter has authored 43 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 14 papers in Plant Science and 12 papers in Genetics. Recurrent topics in Erik Splinter's work include Genomics and Chromatin Dynamics (28 papers), Chromosomal and Genetic Variations (13 papers) and RNA Research and Splicing (13 papers). Erik Splinter is often cited by papers focused on Genomics and Chromatin Dynamics (28 papers), Chromosomal and Genetic Variations (13 papers) and RNA Research and Splicing (13 papers). Erik Splinter collaborates with scholars based in Netherlands, United States and France. Erik Splinter's co-authors include Wouter de Laat, Frank Grosveld, Robert‐Jan Palstra, Petra Klous, Elzo de Wit, Bas Tolhuis, Marieke Simonis, Rob Willemsen, Yuri M. Moshkin and Bas van Steensel and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Erik Splinter

43 papers receiving 7.4k citations

Hit Papers

Looping and Interaction between Hypersensitive Sites in t... 2002 2026 2010 2018 2002 2006 2007 2006 2015 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. Looping and Interaction between Hypersensitive Sites in the Active β-globin Locus
    2002 1.0k citations Robert‐Jan Palstra, Erik Splinter et al. Molecular Cell profile →
  2. Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture–on-chip (4C)
    2006 1.0k citations Marieke Simonis, Petra Klous et al. Nature Genetics profile →
  3. Quantitative analysis of chromosome conformation capture assays (3C-qPCR)
    2007 553 citations Petra Klous, Erik Splinter et al. profile →
  4. CTCF mediates long-range chromatin looping and local histone modification in the β-globin locus
    2006 546 citations Erik Splinter, Jurgen Kooren et al. Genes & Development profile →
  5. CTCF Binding Polarity Determines Chromatin Looping
    2015 448 citations Elzo de Wit, Sjoerd J.B. Holwerda et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Splinter Netherlands 29 6.8k 1.8k 1.5k 480 440 43 7.5k
Joost Gribnau Netherlands 41 6.6k 1.0× 1.1k 0.6× 2.5k 1.7× 859 1.8× 395 0.9× 130 7.7k
Yin Shen United States 10 7.1k 1.0× 1.6k 0.9× 1.5k 1.0× 653 1.4× 350 0.8× 16 7.7k
Shelagh Boyle United Kingdom 30 5.1k 0.7× 1.2k 0.7× 933 0.6× 243 0.5× 269 0.6× 53 5.7k
Kami Ahmad United States 39 7.3k 1.1× 2.6k 1.5× 1.1k 0.7× 412 0.9× 500 1.1× 71 8.4k
Siddarth Selvaraj United States 11 7.4k 1.1× 2.0k 1.1× 1.6k 1.1× 665 1.4× 393 0.9× 16 8.1k
Stefan Schoenfelder United Kingdom 28 5.2k 0.8× 1.3k 0.7× 930 0.6× 522 1.1× 397 0.9× 45 5.7k
Jesse R. Dixon United States 21 9.8k 1.4× 2.4k 1.4× 1.9k 1.3× 942 2.0× 649 1.5× 29 10.7k
Niall Dillon United Kingdom 34 4.4k 0.7× 706 0.4× 996 0.7× 212 0.4× 523 1.2× 64 5.1k
Audrey Kim United States 4 6.3k 0.9× 1.4k 0.8× 1.4k 1.0× 527 1.1× 289 0.7× 5 6.8k
Ru Cao United States 23 8.2k 1.2× 660 0.4× 1.7k 1.2× 1.1k 2.3× 374 0.8× 28 9.0k

Countries citing papers authored by Erik Splinter

Since Specialization
Citations

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

Fields of papers citing papers by Erik Splinter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Splinter

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Splinter. A scholar is included among the top collaborators of Erik Splinter 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 Erik Splinter. Erik Splinter 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.
Smits, Willem K., Carlo Vermeulen, Shunsuke Kimura, et al.. (2023). Elevated enhancer-oncogene contacts and higher oncogene expression levels by recurrent CTCF inactivating mutations in acute T cell leukemia. Cell Reports. 42(4). 112373–112373. 5 indexed citations
2.
Stelloo, Ellen, Ruud W. J. Meijers, Joost F. Swennenhuis, et al.. (2023). Formalin-Fixed, Paraffin-Embedded–Targeted Locus Capture. Journal of Molecular Diagnostics. 25(10). 758–770. 3 indexed citations
3.
Vermeulen, Carlo, Marne C. Hagemeijer, Hugo R. de Jonge, et al.. (2023). Targeted locus amplification reveals heterogeneity between and within CFTR genotypes and association with CFTR function in patient-derived intestinal organoids. Journal of Cystic Fibrosis. 22(3). 538–547. 1 indexed citations
4.
Johansson, Lennart, Eddy N. de Boer, Erik Splinter, et al.. (2018). Genetic Screening Test to Detect Translocations in Acute Leukemias by Use of Targeted Locus Amplification. Clinical Chemistry. 64(7). 1096–1103. 2 indexed citations
5.
Loda, Agnese, J Brandsma, Nicolas Servant, et al.. (2017). Genetic and epigenetic features direct differential efficiency of Xist-mediated silencing at X-chromosomal and autosomal locations. Nature Communications. 8(1). 690–690. 45 indexed citations
6.
Marks, Harold G., Hindrik H. D. Kerstens, Erik Splinter, et al.. (2016). Dynamics of gene silencing during X inactivation using allele-specific RNA-seq (vol 16, 149, 2015). Genome biology. 17. 2–3. 11 indexed citations
7.
Splinter, Erik, Max van Min, Marieke Simonis, et al.. (2016). Efficient mapping of transgene integration sites and local structural changes in Cre transgenic mice using targeted locus amplification. Nucleic Acids Research. 45(8). gkw1329–gkw1329. 39 indexed citations
8.
Wit, Elzo de, Sjoerd J.B. Holwerda, Christian Valdes‐Quezada, et al.. (2015). CTCF Binding Polarity Determines Chromatin Looping. Molecular Cell. 60(4). 676–684. 448 indexed citations breakdown →
9.
Werken, Harmen J.G. van de, Erik Splinter, Sjoerd J.B. Holwerda, et al.. (2012). 4C Technology: Protocols and Data Analysis. Methods in enzymology on CD-ROM/Methods in enzymology. 513. 89–112. 162 indexed citations
10.
Splinter, Erik, Elzo de Wit, Harmen J.G. van de Werken, Petra Klous, & Wouter de Laat. (2012). Determining long-range chromatin interactions for selected genomic sites using 4C-seq technology: From fixation to computation. Methods. 58(3). 221–230. 162 indexed citations
11.
Werken, Harmen J.G. van de, Gilad Landan, Sjoerd J.B. Holwerda, et al.. (2012). Robust 4C-seq data analysis to screen for regulatory DNA interactions. Nature Methods. 9(10). 969–972. 272 indexed citations
12.
Noordermeer, Daan, Marion Leleu, Erik Splinter, et al.. (2011). The Dynamic Architecture of Hox Gene Clusters. Science. 334(6053). 222–225. 291 indexed citations
13.
Hakim, Ofir, Myong‐Hee Sung, Ty C. Voss, et al.. (2011). Diverse gene reprogramming events occur in the same spatial clusters of distal regulatory elements. Genome Research. 21(5). 697–706. 111 indexed citations
14.
Laat, Wouter de, Petra Klous, Jurgen Kooren, et al.. (2008). Chapter 5 Three‐Dimensional Organization of Gene Expression in Erythroid Cells. Current topics in developmental biology. 82. 117–139. 60 indexed citations
15.
Noordermeer, Daan, Miguel R. Branco, Erik Splinter, et al.. (2008). Correction: Transcription and Chromatin Organization of a Housekeeping Gene Cluster Containing an Integrated β-Globin Locus Control Region. PLoS Genetics. 4(3). 2 indexed citations
16.
Noordermeer, Daan, Miguel R. Branco, Erik Splinter, et al.. (2008). Transcription and Chromatin Organization of a Housekeeping Gene Cluster Containing an Integrated β-Globin Locus Control Region. PLoS Genetics. 4(3). e1000016–e1000016. 70 indexed citations
17.
Kooren, Jurgen, Robert‐Jan Palstra, Petra Klous, et al.. (2007). β-Globin Active Chromatin Hub Formation in Differentiating Erythroid Cells and in p45 NF-E2 Knock-out Mice. Journal of Biological Chemistry. 282(22). 16544–16552. 64 indexed citations
18.
Simonis, Marieke, Petra Klous, Erik Splinter, et al.. (2006). Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture–on-chip (4C). Nature Genetics. 38(11). 1348–1354. 1020 indexed citations breakdown →
19.
Drissen, Roy, Robert‐Jan Palstra, Nynke Gillemans, et al.. (2004). The active spatial organization of the β-globin locus requires the transcription factor EKLF. Genes & Development. 18(20). 2485–2490. 299 indexed citations
20.
Splinter, Erik, Frank Grosveld, & Wouter de Laat. (2003). 3C Technology: Analyzing the Spatial Organization of Genomic Loci In Vivo. Methods in enzymology on CD-ROM/Methods in enzymology. 375. 493–507. 102 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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