Eva Petermann
- Oncology top 0.5%
- Cancer-related Molecular Pathways 13
- PARP inhibition in cancer therapy 10
- Molecular Biology top 1%
- DNA Repair Mechanisms 37
- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 5
- Protein Degradation and Inhibitors 4
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 7
- Cell Biology top 1%
- Microtubule and mitosis dynamics 12
- Genetics top 5%
- Co-authors
- Thomas HelledayBen HodgsonRicky A. SharmaCecilia LundinNiklas SchultzNatalia IssaevaKeith W. CaldecottPanagiotis Kotsantis
- Journals
- Nature Communications (3 papers)Nature Reviews Molecular Cell Biology (3 papers)The EMBO Journal (3 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Eva Petermann
46 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Oncology 2.7k
- Molecular Biology 5.5k
- Cancer Research 982
- Cell Biology 838
- Genetics 475
Countries citing papers authored by Eva Petermann
This map shows the geographic impact of Eva Petermann'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 Eva Petermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Petermann more than expected).
Fields of papers citing papers by Eva Petermann
This network shows the impact of papers produced by Eva Petermann. 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 Eva Petermann. The network helps show where Eva Petermann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Petermann, 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 | 2025 | 0 | |
| 2 | Sources, resolution and physiological relevance of R-loops and RNA–DNA hybridsbreakdown → | 2022 | 223 |
| 3 | 2022 | 4 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 81 | |
| 6 | 2020 | 44 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 39 | |
| 9 | 2015 | 211 | |
| 10 | 2014 | 38 | |
| 11 | 2014 | 3 | |
| 12 | 2013 | 33 | |
| 13 | 2011 | 4 | |
| 14 | 2010 | 221 | |
| 15 | 2010 | 59 | |
| 16 | 2007 | 195 | |
| 17 | 2006 | 148 | |
| 18 | 2006 | 39 | |
| 19 | 2005 | 43 | |
| 20 | 2004 | 13 |
About Eva Petermann
Eva Petermann is a scholar working on Oncology, Cell Biology and Molecular Biology, having authored 47 papers that have together received 6.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (37 papers), Cancer-related Molecular Pathways (13 papers), Microtubule and mitosis dynamics (12 papers), PARP inhibition in cancer therapy (10 papers), Carcinogens and Genotoxicity Assessment (7 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (5 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Oncology (2.7k citations), Molecular Biology (5.5k citations) and Cancer Research (982 citations). Eva Petermann has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Thomas Helleday, Ben Hodgson, Ricky A. Sharma, Cecilia Lundin, Niklas Schultz, Natalia Issaeva, Keith W. Caldecott, Panagiotis Kotsantis, Rebecca M. Jones and Manuel Luís Orta. Their work appears in journals such as Nature Communications, Nature Reviews Molecular Cell Biology, The EMBO Journal, Blood and Cell Reports.
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.