Daan Peric‐Hupkes

1.8k citations
6 papers · 1.3k indexed · 1 hit paper · h-index 5
Topics
Genomics and Chromatin Dynamics (6 papers)RNA Research and Splicing (5 papers)Nuclear Structure and Function (4 papers)

In The Last Decade

Daan Peric‐Hupkes

6 papers receiving 1.3k citations

Hit Papers

Molecular Maps of the Reorganization of Genome-Nuclear La...20102026201520202010250500750

Peers

Daan Peric‐Hupkes
Comparison fields: 5 of 52
  • Molecular Biology 1.2k
  • Plant Science 203
  • Genetics 114
  • Cell Biology 72
  • Cancer Research 39
Replace Katharina Thanisch with:
Katharina Thanisch Germany
Wei-Hua Wu United States
Ya Guo China
Zhilian Jia China
Teresa Romeo Luperchio United States
Yuanxiao Tang China
Tatyana G. Kahn United States
William H. Light United States
Carl A. Stratton United States
Meilín Fernández García United States
Daan Peric‐Hupkes relative to Katharina Thanisch Germany Katharina Thanisch's profile →
Citations per field
00.5×1.5×2.5×
Katharina Thanisch · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1 4
2 19
3 77
4 329
5
Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiationbreakdown →
763
6 65

About Daan Peric‐Hupkes

Daan Peric‐Hupkes is a scholar working on Molecular Biology, Plant Science and Infectious Diseases, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (12 citations) and Plant Science (203 citations). Daan Peric‐Hupkes has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Bas van Steensel, Ludo Pagie, Lodewyk F.A. Wessels, Wouter Meuleman, Marcel Reinders, Ron Kerkhoven, Maarten van Lohuizen, Sophia W.M. Bruggeman, Paul Flicek and Wim Brugman. Their work appears in journals such as Molecular Cell, Genome Research and Genome biology.

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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