Margit Riis

21 total papers · 697 total citations
16 papers, 508 citations indexed

About

Margit Riis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Margit Riis has authored 16 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Margit Riis's work include Breast Cancer Treatment Studies (7 papers), Gene expression and cancer classification (4 papers) and Epigenetics and DNA Methylation (3 papers). Margit Riis is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Gene expression and cancer classification (4 papers) and Epigenetics and DNA Methylation (3 papers). Margit Riis collaborates with scholars based in Norway, United States and France. Margit Riis's co-authors include Vessela N. Kristensen, Torben Lüders, Bjørn Naume, Åslaug Helland, Vilde Drageset Haakensen, Anne‐Lise Børresen‐Dale, Nizar Touleimat, Jörg Tost, Thomas Fleischer and Ida Bukholm and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Margit Riis

15 papers receiving 498 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margit Riis 388 256 117 48 31 16 508
Wei Zhu 394 1.0× 273 1.1× 136 1.2× 49 1.0× 40 1.3× 23 551
Victoria Harding 334 0.9× 283 1.1× 110 0.9× 62 1.3× 28 0.9× 16 507
Jessica Bockhorn 377 1.0× 310 1.2× 116 1.0× 41 0.9× 29 0.9× 19 548
Allison Goldberg 322 0.8× 212 0.8× 167 1.4× 48 1.0× 44 1.4× 16 507
Makoto Nagahara 365 0.9× 265 1.0× 136 1.2× 63 1.3× 56 1.8× 17 538
Rachel J. Suetani 433 1.1× 314 1.2× 185 1.6× 28 0.6× 37 1.2× 12 615
Elisa Paolicchi 337 0.9× 147 0.6× 161 1.4× 55 1.1× 31 1.0× 14 483
Manuel Saiselet 301 0.8× 213 0.8× 99 0.8× 60 1.3× 42 1.4× 13 480
Liangliang Shen 350 0.9× 261 1.0× 80 0.7× 39 0.8× 26 0.8× 13 471
Yun Seong Jeong 397 1.0× 143 0.6× 147 1.3× 39 0.8× 40 1.3× 17 495

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-authorship network of co-authors of Margit Riis

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Riis. A scholar is included among the top collaborators of Margit Riis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margit Riis. Margit Riis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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