Kajsa Møllersen

37 total papers · 624 total citations
20 papers, 437 citations indexed

About

Kajsa Møllersen is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kajsa Møllersen has authored 20 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kajsa Møllersen's work include AI in cancer detection (7 papers), Cutaneous Melanoma Detection and Management (6 papers) and Cell Image Analysis Techniques (3 papers). Kajsa Møllersen is often cited by papers focused on AI in cancer detection (7 papers), Cutaneous Melanoma Detection and Management (6 papers) and Cell Image Analysis Techniques (3 papers). Kajsa Møllersen collaborates with scholars based in Norway, United States and India. Kajsa Møllersen's co-authors include Lars Ailo Bongo, Fred Godtliebsen, Maciel Zortea, Thomas Schopf, Stein Olav Skrøvseth, Lill‐Tove Busund, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó and Kristian Hindberg and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and PLoS Medicine.

In The Last Decade

Kajsa Møllersen

19 papers receiving 425 citations

Hit Papers

Reproduction study using ... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Kajsa Møllersen 134 126 122 65 51 20 437
Walaa Gouda 155 1.2× 197 1.6× 258 2.1× 41 0.6× 102 2.0× 16 483
Saptarshi Chatterjee 144 1.1× 183 1.5× 146 1.2× 34 0.5× 72 1.4× 36 458
Yasmeen George 152 1.1× 59 0.5× 207 1.7× 37 0.6× 156 3.1× 19 379
Alican Bozkurt 189 1.4× 63 0.5× 87 0.7× 83 1.3× 53 1.0× 24 379
Mojdeh Rastgoo 277 2.1× 108 0.9× 129 1.1× 202 3.1× 138 2.7× 13 458
Marco Wiltgen 83 0.6× 124 1.0× 82 0.7× 12 0.2× 30 0.6× 30 406
Zeeshan Abbas 93 0.7× 51 0.4× 95 0.8× 37 0.6× 76 1.5× 34 490
Yangqin Feng 254 1.9× 52 0.4× 226 1.9× 68 1.0× 164 3.2× 20 432
Xinyi Du-Harpur 36 0.3× 124 1.0× 65 0.5× 16 0.2× 9 0.2× 8 411
Ali Serener 355 2.6× 53 0.4× 135 1.1× 174 2.7× 140 2.7× 31 483

Countries citing papers authored by Kajsa Møllersen

Since Specialization
Citations

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

Fields of papers citing papers by Kajsa Møllersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kajsa Møllersen

This figure shows the co-authorship network connecting the top 25 collaborators of Kajsa Møllersen. A scholar is included among the top collaborators of Kajsa Møllersen 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 Kajsa Møllersen. Kajsa Møllersen 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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