Mai‐Britt W. Ørntoft

50 total papers · 3.8k total citations
20 papers, 678 citations indexed

About

Mai‐Britt W. Ørntoft is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Mai‐Britt W. Ørntoft has authored 20 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Mai‐Britt W. Ørntoft's work include Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Surgical Treatments (5 papers) and Genetic factors in colorectal cancer (5 papers). Mai‐Britt W. Ørntoft is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Surgical Treatments (5 papers) and Genetic factors in colorectal cancer (5 papers). Mai‐Britt W. Ørntoft collaborates with scholars based in Denmark, Spain and United Kingdom. Mai‐Britt W. Ørntoft's co-authors include Claus L. Andersen, Hans Jørgen Nielsen, Torben F. Ørntoft, Søren Laurberg, Jesper B. Bramsen, Sarah Østrup Jensen, Peter Mouritzen, Sigrid S. Árnadóttir, Thomas Reinert and Frank Viborg Mortensen and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.

In The Last Decade

Mai‐Britt W. Ørntoft

18 papers receiving 672 citations

Author Peers

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

Author Last Decade Papers Cites
Mai‐Britt W. Ørntoft 439 378 267 244 188 20 678
S. Veganzones 278 0.6× 447 1.2× 132 0.5× 136 0.6× 152 0.8× 27 608
Hege Marie Vedeld 287 0.7× 275 0.7× 144 0.5× 377 1.5× 157 0.8× 20 711
Eloise Scarano 406 0.9× 487 1.3× 115 0.4× 210 0.9× 105 0.6× 17 687
Francesca Fenizia 401 0.9× 325 0.9× 149 0.6× 207 0.8× 326 1.7× 25 621
Ghassan Allo 226 0.5× 194 0.5× 169 0.6× 333 1.4× 171 0.9× 29 793
Sumitra Mohan 398 0.9× 349 0.9× 98 0.4× 179 0.7× 229 1.2× 18 660
S. Peter Eggleton 310 0.7× 418 1.1× 132 0.5× 63 0.3× 116 0.6× 21 617
Roberta Sgariglia 342 0.8× 317 0.8× 161 0.6× 225 0.9× 318 1.7× 29 686
Pei-Ching Lin 249 0.6× 358 0.9× 234 0.9× 268 1.1× 106 0.6× 22 658
Dominiek Smeets 232 0.5× 305 0.8× 122 0.5× 283 1.2× 154 0.8× 19 713

Countries citing papers authored by Mai‐Britt W. Ørntoft

Since Specialization
Citations

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

Fields of papers citing papers by Mai‐Britt W. Ørntoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai‐Britt W. Ørntoft. 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 Mai‐Britt W. Ørntoft. The network helps show where Mai‐Britt W. Ørntoft may publish in the future.

Co-authorship network of co-authors of Mai‐Britt W. Ørntoft

This figure shows the co-authorship network connecting the top 25 collaborators of Mai‐Britt W. Ørntoft. A scholar is included among the top collaborators of Mai‐Britt W. Ørntoft 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 Mai‐Britt W. Ørntoft. Mai‐Britt W. Ørntoft 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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