Statistical Applications in Genetics and Molecular Biology · 1×
×0.67k/13kMB
×0.4915/2kCR
×0.41k/4kGENET
×0.5969/2kAI
×0.61k/2kPS
Citations per year
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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).
Fields of papers published in Algorithms for Molecular Biology
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.
About Algorithms for Molecular Biology
The 438 papers published in Algorithms for Molecular Biology in the last decades have received a total of 10.3k indexed citations . Papers published in Algorithms for Molecular Biology usually cover Molecular Biology (242 papers), Genetics (75 papers), Artificial Intelligence (51 papers), Computational Theory and Mathematics (15 papers) and Paleontology (6 papers) specifically the topics of Genomics and Phylogenetic Studies (110 papers), Algorithms and Data Compression (47 papers), RNA and protein synthesis mechanisms (47 papers), Genome Rearrangement Algorithms (41 papers), Gene expression and cancer classification (33 papers), Bioinformatics and Genomic Networks (28 papers), Chromosomal and Genetic Variations (20 papers) and Machine Learning in Bioinformatics (18 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.
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.