Eric Weterings
Impact in
- Molecular Biology top 5%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
- Cancer therapeutics and mechanisms
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- DNA Repair Mechanisms 11
- DNA and Nucleic Acid Chemistry 4
- CRISPR and Genetic Engineering 3
- Oncology 7
- Cancer-related Molecular Pathways 4
- Co-authors
- David J. Chen (5 shared papers)Dik C. van Gent (4 shared papers)Naoya Uematsu (3 shared papers)Keiko Morotomi‐Yano (2 shared papers)Ken‐ichi Yano (2 shared papers)Jan H.J. Hoeijmakers (2 shared papers)Wouter de Laat (1 shared paper)Esther Appeldoorn (1 shared paper)
- Journals
- DNA repair (2 papers)Nucleic Acids Research (2 papers)Immunology Letters (2 papers)Oncotarget (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Eric Weterings
20 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.4k
- Cancer Research 268
- Oncology 472
- Structural Biology 12
- Cell Biology 129
Countries citing papers authored by Eric Weterings
This map shows the geographic impact of Eric Weterings'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 Eric Weterings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Weterings more than expected).
Fields of papers citing papers by Eric Weterings
This network shows the impact of papers produced by Eric Weterings. 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 Eric Weterings. The network helps show where Eric Weterings may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Weterings, 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 | 326 | |
| 2 | 2008 | 287 | |
| 3 | 1998 | 264 | |
| 4 | 2004 | 154 | |
| 5 | 2007 | 137 | |
| 6 | 2003 | 95 | |
| 7 | 2007 | 84 | |
| 8 | 2016 | 59 | |
| 9 | 2008 | 52 | |
| 10 | 2019 | 32 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 21 | |
| 13 | 1989 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2024 | 2 | |
| 17 | 1988 | 2 | |
| 18 | 1988 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 1987 | 1 |
About Eric Weterings
Eric Weterings is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Surgery, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (4 papers), DNA and Nucleic Acid Chemistry (4 papers), CRISPR and Genetic Engineering (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cancer Research (268 citations), Oncology (472 citations), Structural Biology (12 citations) and Cell Biology (129 citations). Eric Weterings has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David J. Chen, Dik C. van Gent, Naoya Uematsu, Keiko Morotomi‐Yano, Ken‐ichi Yano, Jan H.J. Hoeijmakers, Wouter de Laat, Esther Appeldoorn, Kaoru Sugasawa and Nicolaas G.J. Jaspers. Their work appears in journals such as DNA repair, Nucleic Acids Research, Immunology Letters, Oncotarget 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.