Daniel Peric‐Hupkes

1.0k total citations
9 papers, 635 citations indexed

About

Daniel Peric‐Hupkes is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Daniel Peric‐Hupkes has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Daniel Peric‐Hupkes's work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Peric‐Hupkes is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Daniel Peric‐Hupkes collaborates with scholars based in Netherlands, United States and Australia. Daniel Peric‐Hupkes's co-authors include Bas van Steensel, Maartje J. Vogel, Tom van Schaik, Christ Leemans, David M. Gilbert, René H. Medema, Stefano Giustino Manzo, Eva K. Brinkman, Roderick L. Beijersbergen and Ben Morris and has published in prestigious journals such as Cell, The EMBO Journal and Molecular Cell.

In The Last Decade

Daniel Peric‐Hupkes

9 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Peric‐Hupkes Netherlands 8 599 99 44 36 31 9 635
Adriana Gonzalez‐Sandoval Switzerland 8 637 1.1× 75 0.8× 80 1.8× 47 1.3× 20 0.6× 10 694
Pierre-Marie Dehé France 14 746 1.2× 99 1.0× 51 1.2× 64 1.8× 73 2.4× 15 786
Lætitia Delabaere United States 8 575 1.0× 107 1.1× 45 1.0× 118 3.3× 32 1.0× 8 638
Katsuki Johzuka Japan 8 622 1.0× 89 0.9× 44 1.0× 59 1.6× 13 0.4× 12 645
Xuehong Liang China 10 277 0.5× 61 0.6× 30 0.7× 44 1.2× 18 0.6× 12 340
Jennifer F. Garcia United States 10 692 1.2× 113 1.1× 34 0.8× 54 1.5× 8 0.3× 10 721
Gregory Shanower United States 6 495 0.8× 184 1.9× 44 1.0× 30 0.8× 32 1.0× 8 533
Chihiro Horigome Japan 11 671 1.1× 79 0.8× 40 0.9× 62 1.7× 32 1.0× 16 685
Samantha Beck France 9 414 0.7× 61 0.6× 40 0.9× 57 1.6× 17 0.5× 16 498
Jason A. Belsky United States 8 586 1.0× 105 1.1× 72 1.6× 35 1.0× 8 0.3× 8 618

Countries citing papers authored by Daniel Peric‐Hupkes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Peric‐Hupkes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Peric‐Hupkes. 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 Daniel Peric‐Hupkes. The network helps show where Daniel Peric‐Hupkes may publish in the future.

Co-authorship network of co-authors of Daniel Peric‐Hupkes

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

All Works

9 of 9 papers shown
1.
Manzo, Stefano Giustino, Stefan Preković, Tom van Schaik, et al.. (2023). Perturbations in 3D genome organization can promote acquired drug resistance. Cell Reports. 42(10). 113124–113124. 9 indexed citations
2.
Brinkman, Eva K., Christ Leemans, Xabier Vergara, et al.. (2021). Impact of chromatin context on Cas9-induced DNA double-strand break repair pathway balance. Molecular Cell. 81(10). 2216–2230.e10. 118 indexed citations
3.
Wang, Yuchuan, Yang Zhang, Ruochi Zhang, et al.. (2021). SPIN reveals genome-wide landscape of nuclear compartmentalization. Genome biology. 22(1). 36–36. 67 indexed citations
4.
Wang, Yuchuan, Yang Zhang, Ruochi Zhang, et al.. (2021). SPIN reveals genome-wide landscape of nuclear compartmentalization. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
5.
Brueckner, Laura, Peiyao A Zhao, Tom van Schaik, et al.. (2020). Local rewiring of genome–nuclear lamina interactions by transcription. The EMBO Journal. 39(6). e103159–e103159. 52 indexed citations
6.
Lenain, Christelle, Carolyn A. de Graaf, Ludo Pagie, et al.. (2017). Massive reshaping of genome–nuclear lamina interactions during oncogene-induced senescence. Genome Research. 27(10). 1634–1644. 65 indexed citations
7.
Peric‐Hupkes, Daniel & Bas van Steensel. (2008). Linking Cohesin to Gene Regulation. Cell. 132(6). 925–928. 28 indexed citations
8.
Vogel, Maartje J., Daniel Peric‐Hupkes, & Bas van Steensel. (2007). Detection of in vivo protein–DNA interactions using DamID in mammalian cells. Nature Protocols. 2(6). 1467–1478. 237 indexed citations
9.
Lapointe, David, Mai X. Luong, Daniel Peric‐Hupkes, et al.. (2002). Gene profiling of cell cycle progression through S-phase reveals sequential expression of genes required for DNA replication and nucleosome assembly.. PubMed. 62(11). 3233–43. 56 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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2026