Greet Bervoets

739 total citations
3 papers, 80 citations indexed

About

Greet Bervoets is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Greet Bervoets has authored 3 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Cancer Research. Recurrent topics in Greet Bervoets's work include CRISPR and Genetic Engineering (2 papers), Genomics and Chromatin Dynamics (1 paper) and RNA modifications and cancer (1 paper). Greet Bervoets is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Genomics and Chromatin Dynamics (1 paper) and RNA modifications and cancer (1 paper). Greet Bervoets collaborates with scholars based in Belgium, Denmark and Germany. Greet Bervoets's co-authors include Florian Rambow, Jean‐Christophe Marine, Carmen Adriaens, Tomoki Chiba, Juan Song, Natalie De Geest, Torben Heick Jensen, Vincent Pasque, Toomas Silla and Hiroshi Asahara and has published in prestigious journals such as Genome Research, Genome biology and RNA.

In The Last Decade

Greet Bervoets

3 papers receiving 80 citations

Peers

Greet Bervoets
Joe R. Davis United States
Tony Zeng United States
Viren Amin United States
Ines Rabano United States
Clay Fischer United States
Eric Kutschera United States
Maria Lopopolo United Kingdom
Daphne M. van Beek Netherlands
Zongxiao He United States
Joe R. Davis United States
Greet Bervoets
Citations per year, relative to Greet Bervoets Greet Bervoets (= 1×) peers Joe R. Davis

Countries citing papers authored by Greet Bervoets

Since Specialization
Citations

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

Fields of papers citing papers by Greet Bervoets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greet Bervoets

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

All Works

3 of 3 papers shown
1.
Talón, Irene, Adrian Janiszewski, Juan Song, et al.. (2021). Enhanced chromatin accessibility contributes to X chromosome dosage compensation in mammals. Genome biology. 22(1). 302–302. 18 indexed citations
2.
Adriaens, Carmen, Florian Rambow, Greet Bervoets, et al.. (2019). The long noncoding RNA NEAT1_1 is seemingly dispensable for normal tissue homeostasis and cancer cell growth. RNA. 25(12). 1681–1695. 33 indexed citations
3.
Janiszewski, Adrian, Irene Talón, Joel Chappell, et al.. (2019). Dynamic reversal of random X-Chromosome inactivation during iPSC reprogramming. Genome Research. 29(10). 1659–1672. 29 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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