Mikaela Wiking

About

Mikaela Wiking is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Mikaela Wiking has authored 5 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Artificial Intelligence. Recurrent topics in Mikaela Wiking’s work include Cell Image Analysis Techniques (3 papers), Microtubule and mitosis dynamics (1 paper) and Scientific Computing and Data Management (1 paper). Mikaela Wiking is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Microtubule and mitosis dynamics (1 paper) and Scientific Computing and Data Management (1 paper). Mikaela Wiking collaborates with scholars based in Sweden, United States and Germany. Mikaela Wiking's co-authors include Emma Lundberg, Martin Hjelmare, Lovisa Åkesson, Devin P. Sullivan, Kevin Smith, B. Revaz, Mathias Uhlén, Rutger Schutten, Casper F. Winsnes and Marie Skogs and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Journal of Proteome Research.

In The Last Decade

Co-authorship network of co-authors of Mikaela Wiking i

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Fields of papers citing papers by Mikaela Wiking

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mikaela Wiking

Since Specialization

Citations

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