Eric Weterings

2.2k citations
19 papers · 1.4k · h-index 14

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Cancer therapeutics and mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • Cancer-related Molecular Pathways 4
    • Glioma Diagnosis and Treatment 2

Eric Weterings

19 papers receiving 1.4k citations

Peers

Eric Weterings
Comparison fields: 5 of 85
  • Oncology 459
  • Molecular Biology 1.2k
  • Cancer Research 218
  • Structural Biology 12
  • Cell Biology 119
Replace Béatrix Bugler with:
Béatrix Bugler France
Prabha Sarangi United States
Juhani Eerik Syväoja Finland
Meera Patturajan United States
Arik Dvir United States
Go Watanabe United States
Claudia Schneider United Kingdom
Stephan Hamperl Germany
Jonas Andreas Schmid Switzerland
Marie‐Jeanne Pillaire France
Eric Weterings relative to Béatrix Bugler France Béatrix Bugler's profile →
Citations per field
00.5×1.5×2×2.4×
Béatrix Bugler · 1×
Citations per year

Countries citing papers authored by Eric Weterings

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Weterings Line = papers co-authored together Eric Weterings links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007333
2 2008313
3 2004157
4 2007142
5 200398
6 200786
7 201662
8 200855
9 201934
10 201828
11 201722
12 202120
13 198920
14 201719
15 20242
16 19882
17 19882
18 19871
19 20101

About Eric Weterings

Eric Weterings is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Small Animals, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Cancer-related Molecular Pathways (4 papers), DNA and Nucleic Acid Chemistry (3 papers), CRISPR and Genetic Engineering (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Glioma Diagnosis and Treatment (2 papers), Genomics and Chromatin Dynamics (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Oncology (459 citations), Molecular Biology (1.2k citations), Cancer Research (218 citations), Structural Biology (12 citations) and Cell Biology (119 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, Ken‐ichi Yano, Keiko Morotomi‐Yano, Pierre‐Olivier Mari, Burkhard Jakob, Benjamin P.C. Chen, G. Taucher-Scholz and Laurence S. Cooke. Their work appears in journals such as Oncotarget, Immunology Letters, Nucleic Acids Research, DNA repair 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.

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