Margit Riis

718 citations
16 papers · 513 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing

Papers in

    • Gene expression and cancer classification 4
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 2
    • Breast Cancer Treatment Studies 7
    • Cancer Genomics and Diagnostics 2

Margit Riis

15 papers receiving 502 citations

Peers

Margit Riis
Comparison fields: 5 of 70
  • Cancer Research 256
  • Molecular Biology 389
  • Oncology 117
  • Computational Mathematics 1
  • Immunology 32
Replace Shusen Xia with:
Shusen Xia China
Eva Y‐HP Lee United States
Nanhang Lu China
Hongjuan Xu China
Yichao Wang China
Victoria Harding United Kingdom
Bowen Yuan China
Rongxia Liao China
Alexandra Paye Belgium
Jana Plavá Slovakia
Margit Riis relative to Shusen Xia China Shusen Xia's profile →
Citations per field
00.5×1.7×
Shusen Xia · 1×
Citations per year

Countries citing papers authored by Margit Riis

Since Specialization
Citations

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

Fields of papers citing papers by Margit Riis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014139
2 2013106
3 202067
4 201435
5 201732
6 201129
7 202127
8 201425
9 201022
10 201616
11 20126
12 20204
13 20133
14 20251
15 20161
16 20220

About Margit Riis

Margit Riis is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 513 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Gene expression and cancer classification (4 papers), Cancer Cells and Metastasis (3 papers), Epigenetics and DNA Methylation (3 papers), Breast Lesions and Carcinomas (3 papers), Breast Implant and Reconstruction (3 papers), Cancer Genomics and Diagnostics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (256 citations), Molecular Biology (389 citations), Oncology (117 citations), Computational Mathematics (1 citation) and Immunology (32 citations). Margit Riis has collaborated with scholars based in Norway, United States and Finland. Frequent co-authors include Vessela N. Kristensen, Bjørn Naume, Torben Lüders, Åslaug Helland, Vilde Drageset Haakensen, Anne‐Lise Børresen‐Dale, Jörg Tost, Jovana Klajic, Thomas Fleischer and Nizar Touleimat. Their work appears in journals such as Scientific Reports, Molecular Oncology, BMC Cancer, Carcinogenesis and BMC Nephrology.

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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