Melbourne Bioinformatics

467 papers and 33.5k indexed citations i.

About

In recent decades, authors affiliated with Melbourne Bioinformatics have published 467 papers, which have received a total of 33.5k indexed citations. Scholars at this organization have produced 198 papers in Molecular Biology, 75 papers in Infectious Diseases and 74 papers in Genetics on the topics of Genomics and Phylogenetic Studies (54 papers), Antimicrobial Resistance in Staphylococcus (30 papers) and RNA and protein synthesis mechanisms (26 papers). Their work is cited by papers focused on Molecular Biology (13.3k citations), Ecology (5.3k citations) and Infectious Diseases (5.0k citations). Authors at Melbourne Bioinformatics collaborate with scholars in Australia, United States and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research. Some of Melbourne Bioinformatics's most productive authors include Torsten Seemann, Juan Nunez-Iglesias, Stéfan van der Walt, Emmanuelle Gouillart, Johannes L. Schönberger, François Boulogne, Tony Yu, Neil Yager, Joshua Warner and James C. Whisstock.

In The Last Decade

Fields of papers published by authors at Melbourne Bioinformatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Melbourne Bioinformatics at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Melbourne Bioinformatics at the time of their publication.

Countries citing scholars working at Melbourne Bioinformatics

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Melbourne Bioinformatics. 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 produced at Melbourne Bioinformatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melbourne Bioinformatics 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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