Mona Meyer

2.7k citations
4 papers · 1.5k · 1 hit paper · h-index 4

Impact in

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

Papers in

    • Genomics and Phylogenetic Studies 1
    • DNA Repair Mechanisms 1
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1
    • Single-cell and spatial transcriptomics 1
    • Glioma Diagnosis and Treatment 1

Mona Meyer

4 papers receiving 1.5k citations

Mona Meyer's Hit Papers

Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap 2019 · 1.2k citations
1.2k0+2+4Years since publication2505007501000

Peers

Mona Meyer
Comparison fields: 5 of 110
  • Cancer Research 278
  • Genetics 176
  • Molecular Biology 762
  • Aging 15
  • Immunology 164
Replace Alice Lau with:
Alice Lau United States
Phillip R. Musich United States
I‐Shing Yu Taiwan
Eryk Kropiwnicki United States
Oliver Stueker Canada
Anatole Ghazalpour United States
Jianbiao Zheng United States
Manhong Dai United States
Megan L. Wojciechowicz United States
Véronique Voisin Canada
Mona Meyer relative to Alice Lau United States Alice Lau's profile →
Citations per field
00.5×1.5×2.3×
Alice Lau · 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

About Mona Meyer

Mona Meyer is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Biophysics, having authored 4 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper), Gene expression and cancer classification (1 paper), Glioma Diagnosis and Treatment (1 paper), Bioinformatics and Genomic Networks (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (278 citations), Genetics (176 citations), Molecular Biology (762 citations), Aging (15 citations) and Immunology (164 citations). Mona Meyer has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Jüri Reimand, Gary D. Bader, Véronique Voisin, Changjiang Xu, Lina Wadi, Daniele Merico, Mike Kucera, Ruth Isserlin, Jessica C. Pressey and Michael D. Cusimano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Protocols, PLoS ONE 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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