Geert Weeda

5.5k citations
42 papers · 4.7k indexed · h-index 31
  • Aging top 1%
    • Carcinogens and Genotoxicity Assessment 8
    • DNA Repair Mechanisms 36
    • CRISPR and Genetic Engineering 12
    • Genomics and Chromatin Dynamics 5
    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 3
  • Oncology top 5%
    • Cancer-related Molecular Pathways 4
  • Genetics top 2%
    • Genetics and Neurodevelopmental Disorders 8

Geert Weeda

42 papers receiving 4.5k citations

Peers

Geert Weeda
Comparison fields: 5 of 108
  • Aging 197
  • Cancer Research 956
  • Molecular Biology 4.2k
  • Oncology 925
  • Genetics 727
Replace Monica Gostissa with:
Monica Gostissa United States
Carla Grandori United States
Nicole Schreiber‐Agus United States
Miria Stefanini Italy
John P. Murnane United States
Holger Hoehn Germany
Nicolaas G.J. Jaspers Netherlands
Purificacı́on Muñoz Spain
Patricia A. Kruk United States
Chengming Zhu United States
Geert Weeda relative to Monica Gostissa United States Monica Gostissa's profile →
Citations per field
00.5×1.5×1.9×
Monica Gostissa · 1×
Citations per year

Countries citing papers authored by Geert Weeda

Since Specialization
Citations

This map shows the geographic impact of Geert Weeda'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 Geert Weeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Weeda more than expected).

Fields of papers citing papers by Geert Weeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert Weeda. 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 Geert Weeda. The network helps show where Geert Weeda may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Geert Weeda, 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 Geert Weeda Line = papers co-authored together Geert Weeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002426
2 200040
3 2000147
4 199983
5 1998161
6 19984
7 19985
8 199833
9 1997278
10 199772
11 1997301
12 199558
13 1994120
14 199337
15 199231
16 199225
17 199130
18 199125
19 199127
20 1990376

About Geert Weeda

Geert Weeda is a scholar working on Molecular Biology, Aging, Cancer Research, Genetics and Biotechnology, having authored 42 papers that have together received 4.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (36 papers), CRISPR and Genetic Engineering (12 papers), Carcinogens and Genotoxicity Assessment (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Chromatin Dynamics (5 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Aging (197 citations), Cancer Research (956 citations), Molecular Biology (4.2k citations), Oncology (925 citations) and Genetics (727 citations). Geert Weeda has collaborated with scholars based in Netherlands, France and United Kingdom. Frequent co-authors include Jan H.J. Hoeijmakers, D. Bootsma, Jan de Wit, Wim Vermeulen, Harry van Steeg, Alex J. van der Eb, Jan de Boer, Gijsbertus T. J. van der Horst, Laurent Schaeffer and Jean‐Marc Egly. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, The EMBO Journal, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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