Berina Eppink
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
- Oncology 5
- PARP inhibition in cancer therapy 3
- Cancer Cells and Metastasis 1
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- DNA Repair Mechanisms 8
- CRISPR and Genetic Engineering 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Roland Kanaar (8 shared papers)Przemek M. Krawczyk (2 shared papers)Jan Stap (2 shared papers)Jeroen Essers (3 shared papers)Johannes M. Heuckmann (1 shared paper)Luis Sánchez‐Pulido (1 shared paper)Anne‐Cécile Déclais (1 shared paper)Mary Gardiner (1 shared paper)
- Journals
- Molecular Cell (4 papers)International Journal of Hyperthermia (2 papers)Experimental Cell Research (1 paper)Nature Cancer (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Berina Eppink
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Oncology 335
- Molecular Biology 869
- Cancer Research 153
- Aging 14
- Cell Biology 93
Countries citing papers authored by Berina Eppink
This map shows the geographic impact of Berina Eppink'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 Berina Eppink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berina Eppink more than expected).
Fields of papers citing papers by Berina Eppink
This network shows the impact of papers produced by Berina Eppink. 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 Berina Eppink. The network helps show where Berina Eppink may publish in the future.
Co-authors
The 25 scholars most cited alongside Berina Eppink, 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 | 2011 | 344 | |
| 2 | 2011 | 304 | |
| 3 | 2009 | 272 | |
| 4 | 2022 | 124 | |
| 5 | 2012 | 85 | |
| 6 | 2011 | 73 | |
| 7 | 2011 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2006 | 14 | |
| 10 | 2017 | 14 | |
| 11 | Requirement of ATM-Dependent Monoubiquitylation of Histone H2B for Timely Repair of DNA Double-Strand Breaks (vol 41, pg 529, 2011) | 2011 | 11 |
| 12 | 2011 | 9 |
About Berina Eppink
Berina Eppink is a scholar working on Oncology, Molecular Biology, Cell Biology, Biophysics and Endocrine and Autonomic Systems, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), PARP inhibition in cancer therapy (3 papers), CRISPR and Genetic Engineering (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Light effects on plants (1 paper), Cancer Research and Treatments (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (335 citations), Molecular Biology (869 citations), Cancer Research (153 citations), Aging (14 citations) and Cell Biology (93 citations). Berina Eppink has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Roland Kanaar, Przemek M. Krawczyk, Jan Stap, Jeroen Essers, Johannes M. Heuckmann, Luis Sánchez‐Pulido, Anne‐Cécile Déclais, Mary Gardiner, John Wilson Rouse and Rachel L. Toth. Their work appears in journals such as Molecular Cell, International Journal of Hyperthermia, Experimental Cell Research, Nature Cancer and The Journal of Cell 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.