Mona Meyer

2.8k citations
5 papers · 1.8k · 1 hit paper · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Gene expression and cancer classification 2
    • Bioinformatics and Genomic Networks 2
    • Genomics and Phylogenetic Studies 1
    • Biomedical Text Mining and Ontologies 1
    • DNA Repair Mechanisms 1

Mona Meyer

5 papers receiving 1.8k citations

Mona Meyer's Hit Papers

Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap 2019 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Mona Meyer
Comparison fields: 5 of 115
  • Cancer Research 301
  • Genetics 203
  • Molecular Biology 905
  • Biological Psychiatry 22
  • Immunology 184
Replace Christopher L. Plaisier with:
Christopher L. Plaisier United States
Oliver Stueker Canada
Phillip R. Musich United States
Lucia B. Cavelier Sweden
Marc Aubry France
Alexandra B. Keenan United States
Mike Kucera Canada
Chenglin Wu China
Manhong Dai United States
Shichong Liu United States
Mona Meyer relative to Christopher L. Plaisier United States Christopher L. Plaisier's profile →
Citations per field
00.5×1.5×2×2.4×
Christopher L. Plaisier · 1×
Citations per year

Countries citing papers authored by Mona Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Mona Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown

About Mona Meyer

Mona Meyer is a scholar working on Biophysics, Molecular Biology, Genetics, Hematology and Oncology, having authored 5 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Acute Myeloid Leukemia Research (1 paper), Glioma Diagnosis and Treatment (1 paper), Genomics and Phylogenetic Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer-related Molecular Pathways (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (301 citations), Genetics (203 citations), Molecular Biology (905 citations), Biological Psychiatry (22 citations) and Immunology (184 citations). Mona Meyer has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Jüri Reimand, Lina Wadi, Gary Bader, Mike Kucera, Véronique Voisin, Daniele Merico, Changjiang Xu, Ruth Isserlin, Joel Weiser and Lincoln Stein. Their work appears in journals such as Nature Methods, Proceedings of the National Academy of Sciences, PLoS ONE, Nature Protocols and Proteome Science.

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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