Markus Hsi-Yang Fritz

4 papers and 320 indexed citations i.

About

Markus Hsi-Yang Fritz is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Markus Hsi-Yang Fritz has authored 4 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Markus Hsi-Yang Fritz’s work include Genomics and Phylogenetic Studies (3 papers), Algorithms and Data Compression (1 paper) and Molecular Biology Techniques and Applications (1 paper). Markus Hsi-Yang Fritz is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Algorithms and Data Compression (1 paper) and Molecular Biology Techniques and Applications (1 paper). Markus Hsi-Yang Fritz collaborates with scholars based in Germany, Czechia and United Kingdom. Markus Hsi-Yang Fritz's co-authors include Rasko Leinonen, Guy Cochrane, Ewan Birney, Tobias Rausch, Vladimı́r Beneš, Andreas Untergasser, Jan O. Korbel, Jiřı́ Schwarz, Cyril Šálek and C Haškovec and has published in prestigious journals such as Bioinformatics, Genome Research and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of Markus Hsi-Yang Fritz i

Fields of papers citing papers by Markus Hsi-Yang Fritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Hsi-Yang Fritz. 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 Hsi-Yang Fritz. The network helps show where Markus Hsi-Yang Fritz may publish in the future.

Countries citing papers authored by Markus Hsi-Yang Fritz

Since Specialization
Citations

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