Dominik Heider

128 papers and 2.4k indexed citations i.

About

Dominik Heider is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Dominik Heider has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 19 papers in Artificial Intelligence and 18 papers in Epidemiology. Recurrent topics in Dominik Heider’s work include Genomics and Phylogenetic Studies (22 papers), Machine Learning in Bioinformatics (17 papers) and HIV Research and Treatment (14 papers). Dominik Heider is often cited by papers focused on Genomics and Phylogenetic Studies (22 papers), Machine Learning in Bioinformatics (17 papers) and HIV Research and Treatment (14 papers). Dominik Heider collaborates with scholars based in Germany, United Kingdom and Austria. Dominik Heider's co-authors include Angelika Barnekow, Daniel Hoffmann, Sebastian Spänig, Ali Canbay, Jan‐Peter Sowa, Ursula Neumann, Mona Riemenschneider, Hannah F. Löchel, Guido Gerken and Anne-Christin Hauschild and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Dominik Heider i

Fields of papers citing papers by Dominik Heider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dominik Heider

Since Specialization
Citations

This map shows the geographic impact of Dominik Heider'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 Dominik Heider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Heider 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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2025