Mikael Lundin

74 papers and 4.1k indexed citations i.

About

Mikael Lundin is a scholar working on Artificial Intelligence, Oncology and Molecular Biology. According to data from OpenAlex, Mikael Lundin has authored 74 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Mikael Lundin’s work include AI in cancer detection (21 papers), Cell Image Analysis Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Mikael Lundin is often cited by papers focused on AI in cancer detection (21 papers), Cell Image Analysis Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Mikael Lundin collaborates with scholars based in Finland, Sweden and Poland. Mikael Lundin's co-authors include Johan Lundin, Jorma Isola, Heikki Joensuu, Caj Haglund, Nina Linder, Ari Ristimäki, Stig Nordling, Tiina Salminen, Anna Sivula and Riku Turkki and has published in prestigious journals such as JAMA, The EMBO Journal and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Mikael Lundin i

Fields of papers citing papers by Mikael Lundin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mikael Lundin

Since Specialization
Citations

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

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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