Hannes Sieling

About

Hannes Sieling is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Hannes Sieling has authored 7 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Statistics and Probability and 2 papers in Artificial Intelligence. Recurrent topics in Hannes Sieling’s work include Gene expression and cancer classification (4 papers), Statistical Methods and Inference (4 papers) and Genetic Associations and Epidemiology (1 paper). Hannes Sieling is often cited by papers focused on Gene expression and cancer classification (4 papers), Statistical Methods and Inference (4 papers) and Genetic Associations and Epidemiology (1 paper). Hannes Sieling collaborates with scholars based in Germany and United States. Hannes Sieling's co-authors include Axel Munk, Klaus Frick, Housen Li, Thomas Hotz, Claudia Steinem, Ole Mathis Schütte, Andreas Futschik, Ulf Diederichsen, Ulrich Bauer and Max Wardetzky and has published in prestigious journals such as Bioinformatics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Hannes Sieling i

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Fields of papers citing papers by Hannes Sieling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hannes Sieling

Since Specialization

Citations

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