M Meuth

2.2k citations
44 papers · 2.0k · h-index 23

Impact in

Papers in

    • DNA Repair Mechanisms 12
    • CRISPR and Genetic Engineering 9
    • Biochemical and Molecular Research 8
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Epigenetics and DNA Methylation 4

M Meuth

42 papers receiving 1.9k citations

Peers

M Meuth
Comparison fields: 5 of 97
  • Cancer Research 532
  • Pathology and Forensic Medicine 511
  • Molecular Biology 1.4k
  • Oncology 379
  • Genetics 279
Replace Martina Veigl with:
Martina Veigl United States
Maria Zajac‐Kaye United States
Matty Verlaan–de Vries Netherlands
Deborah A. Zajchowski United States
Ayumi Yamada Japan
Hiroyuki Kitao Japan
Esra A. Akbay United States
J I Johnson United States
P Jeanteur France
Ryushin Mizuta Japan
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Citations per field
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Martina Veigl · 1×
Citations per year

Countries citing papers authored by M Meuth

Since Specialization
Citations

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

Fields of papers citing papers by M Meuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994378
2 1986148
3 1979119
4 200497
5 199094
6 200981
7 200580
8 199579
9 198776
10 198770
11 200667
12
Mutator phenotype in Msh2-deficient murine embryonic fibroblasts.
199763
13 198652
14
Expression of the endogenous O6-methylguanine-DNA-methyltransferase protects Chinese hamster ovary cells from spontaneous G:C to A:T transitions.
199252
15 201351
16 198451
17 199149
18 199044
19 198137
20 200836

About M Meuth

M Meuth is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), CRISPR and Genetic Engineering (9 papers), Biochemical and Molecular Research (8 papers), Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related Molecular Pathways (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (532 citations), Pathology and Forensic Medicine (511 citations), Molecular Biology (1.4k citations), Oncology (379 citations) and Genetics (279 citations). M Meuth has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Geraldine Phear, Joséphine Nalbantoglu, Anil Ganesh, Nitai P. Bhattacharyya, Adonis Skandalis, Joanna Groden, Marie Trudel, Freddie C. Hamdy, James W.F. Catto and Simon S. Cross. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Nucleic Acids Research, Oncogene and The EMBO Journal.

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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