Daan Peric‐Hupkes

1.8k total citations · 1 hit paper
6 papers, 1.3k citations indexed

About

Daan Peric‐Hupkes is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Daan Peric‐Hupkes has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Daan Peric‐Hupkes's work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and Nuclear Structure and Function (4 papers). Daan Peric‐Hupkes is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and Nuclear Structure and Function (4 papers). Daan Peric‐Hupkes collaborates with scholars based in Netherlands, United States and Germany. Daan Peric‐Hupkes's co-authors include Bas van Steensel, Lodewyk F.A. Wessels, Wouter Meuleman, Ludo Pagie, Marcel Reinders, Maarten van Lohuizen, Sophia W.M. Bruggeman, Irina Solovei, Wim Brugman and Paul Flicek and has published in prestigious journals such as Molecular Cell, Genome Research and Genome biology.

In The Last Decade

Daan Peric‐Hupkes

6 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation

2010 763 citations Daan Peric‐Hupkes, Wouter Meuleman et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daan Peric‐Hupkes Netherlands	5	1.2k	203	114	72	39	6	1.3k
Katharina Thanisch Germany	8	1.0k 0.8×	183 0.9×	107 0.9×	102 1.4×	18 0.5×	10	1.1k
Tatyana G. Kahn United States	15	1.3k 1.1×	408 2.0×	167 1.5×	41 0.6×	36 0.9×	21	1.4k
Wei-Hua Wu United States	10	967 0.8×	157 0.8×	57 0.5×	54 0.8×	38 1.0×	10	1.0k
Teresa Romeo Luperchio United States	9	731 0.6×	91 0.4×	89 0.8×	79 1.1×	16 0.4×	13	807
Nicholas J. McGlincy United Kingdom	8	843 0.7×	89 0.4×	54 0.5×	37 0.5×	76 1.9×	9	949
Vladic Mogila Russia	13	591 0.5×	186 0.9×	84 0.7×	47 0.7×	30 0.8×	28	648
Carl A. Stratton United States	8	681 0.6×	70 0.3×	75 0.7×	79 1.1×	39 1.0×	9	776
Maria Gause United States	17	1.1k 0.9×	350 1.7×	145 1.3×	69 1.0×	22 0.6×	27	1.2k
Zhilian Jia China	7	836 0.7×	215 1.1×	154 1.4×	20 0.3×	42 1.1×	9	887
Bodo Liebe Germany	10	719 0.6×	180 0.9×	120 1.1×	156 2.2×	40 1.0×	11	852

Countries citing papers authored by Daan Peric‐Hupkes

Since Specialization

Citations

This map shows the geographic impact of Daan 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 Daan 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 Daan Peric‐Hupkes more than expected).

Fields of papers citing papers by Daan Peric‐Hupkes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Kumar, Pradeep, Omid Gholamalamdari, Yang Zhang, et al.. (2024). Nucleolus and centromere Tyramide Signal Amplification-Seq reveals variable localization of heterochromatin in different cell types. Communications Biology. 7(1). 1135–1135. 4 indexed citations

2.

Schaik, Tom van, Ning Qing Liu, Stefano Giustino Manzo, et al.. (2022). CTCF and cohesin promote focal detachment of DNA from the nuclear lamina. Genome biology. 23(1). 185–185. 19 indexed citations

3.

Schaik, Tom van, et al.. (2020). Cell cycle dynamics of lamina‐associated DNA. EMBO Reports. 21(11). e50636–e50636. 77 indexed citations

4.

Meuleman, Wouter, Daan Peric‐Hupkes, Jop Kind, et al.. (2012). Constitutive nuclear lamina–genome interactions are highly conserved and associated with A/T-rich sequence. Genome Research. 23(2). 270–280. 329 indexed citations

5.

Peric‐Hupkes, Daan, Wouter Meuleman, Ludo Pagie, et al.. (2010). Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation. Molecular Cell. 38(4). 603–613. 763 indexed citations breakdown →

6.

Peric‐Hupkes, Daan & Bas van Steensel. (2010). Role of the Nuclear Lamina in Genome Organization and Gene Expression. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 517–524. 65 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.

Explore authors with similar magnitude of impact