Algorithms for Molecular Biology

435 papers and 9.6k indexed citations i.

About

The 435 papers published in Algorithms for Molecular Biology in the last decades have received a total of 9.6k indexed citations. Papers published in Algorithms for Molecular Biology usually cover Molecular Biology (388 papers), Genetics (131 papers) and Artificial Intelligence (102 papers) specifically the topics of Genomics and Phylogenetic Studies (203 papers), RNA and protein synthesis mechanisms (90 papers) and Algorithms and Data Compression (85 papers). The most active scholars publishing in Algorithms for Molecular Biology are Peter F. Stadler, Ivo L. Hofacker, Christoph Flamm, Stephan Wolf, Hakim Tafer, Ronny Lorenz, Christian Höner zu Siederdissen, Rayan Chikhi, Guillaume Rizk and Burkhard Morgenstern.

In The Last Decade

Fields of papers published in Algorithms for Molecular Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Algorithms for Molecular Biology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Algorithms for Molecular Biology.

Countries where authors publish in Algorithms for Molecular Biology

Since Specialization
Citations

This map shows the geographic impact of research published in Algorithms for Molecular Biology. 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 papers published in Algorithms for Molecular Biology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Algorithms for Molecular Biology 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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