Daniel Peric‐Hupkes
Impact in
- Aging top 10%
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Nuclear Structure and Function
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
Papers in
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- Genomics and Chromatin Dynamics 8
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
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- Microtubule and mitosis dynamics 2
- Co-authors
- Bas van Steensel (8 shared papers)Maartje J. Vogel (1 shared paper)Tom van Schaik (5 shared papers)Christ Leemans (2 shared papers)David M. Gilbert (3 shared papers)Stefano Giustino Manzo (2 shared papers)René H. Medema (2 shared papers)Robin H. van der Weide (1 shared paper)
- Journals
- The EMBO Journal (1 paper)Cell Reports (1 paper)Genome Research (1 paper)Molecular Cell (1 paper)Cell (1 paper)
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Daniel Peric‐Hupkes
9 papers receiving 631 citations
Peers
Comparison fields: 5 of 57
- Aging 21
- Molecular Biology 599
- Plant Science 99
- Virology 12
- Cell Biology 36
Countries citing papers authored by Daniel Peric‐Hupkes
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
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-authors
The 25 scholars most cited alongside Daniel Peric‐Hupkes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 237 | |
| 2 | 2021 | 118 | |
| 3 | 2021 | 67 | |
| 4 | 2017 | 65 | |
| 5 | Gene profiling of cell cycle progression through S-phase reveals sequential expression of genes required for DNA replication and nucleosome assembly. | 2002 | 56 |
| 6 | 2020 | 52 | |
| 7 | 2008 | 28 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 3 |
About Daniel Peric‐Hupkes
Daniel Peric‐Hupkes is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Physiology, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Microtubule and mitosis dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), MicroRNA in disease regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (21 citations), Molecular Biology (599 citations), Plant Science (99 citations), Virology (12 citations) and Cell Biology (36 citations). Daniel Peric‐Hupkes has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Bas van Steensel, Maartje J. Vogel, Tom van Schaik, Christ Leemans, David M. Gilbert, Stefano Giustino Manzo, René H. Medema, Robin H. van der Weide, Ben Morris and Xabier Vergara. Their work appears in journals such as The EMBO Journal, Cell Reports, Genome Research, Molecular Cell and Cell.
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.