Markus Heinonen

31 papers and 628 indexed citations i.

About

Markus Heinonen is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Markus Heinonen has authored 31 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Markus Heinonen’s work include Gaussian Processes and Bayesian Inference (11 papers), Computational Drug Discovery Methods (6 papers) and T-cell and B-cell Immunology (4 papers). Markus Heinonen is often cited by papers focused on Gaussian Processes and Bayesian Inference (11 papers), Computational Drug Discovery Methods (6 papers) and T-cell and B-cell Immunology (4 papers). Markus Heinonen collaborates with scholars based in Finland, United States and Sweden. Markus Heinonen's co-authors include Juho Rousu, Huibin Shen, Harri Lähdesmäki, Nicola Zamboni, James E. Lucas, Kyle A. Barlow, Shane Ó Conchúir, Samuel Thompson, Tanja Kortemme and Pooja Suresh and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Markus Heinonen i

Fields of papers citing papers by Markus Heinonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Heinonen

Since Specialization
Citations

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