Joint Genome Institute

2.5k papers and 212.9k indexed citations

About

In recent decades, authors affiliated with Joint Genome Institute have published 2.5k papers, which have received a total of 212.9k indexed citations. Scholars at this organization have produced 1.6k papers in Molecular Biology, 856 papers in Ecology and 743 papers in Plant Science on the topics of Genomics and Phylogenetic Studies (859 papers), Microbial Community Ecology and Physiology (647 papers) and Bacteriophages and microbial interactions (209 papers). Their work is cited by papers focused on Molecular Biology (119.4k citations), Ecology (60.9k citations) and Plant Science (53.7k citations). Authors at Joint Genome Institute collaborate with scholars in United States, Germany and France and have published in prestigious journals including Nature, Science and Cell. Some of Joint Genome Institute's most productive authors include Jeffrey L. Boore, Philip Hugenholtz, Susannah G. Tringe, Edward M. Rubin, Nikos C. Kyrpides, Tanja Woyke, Frank W. Larimer, Miriam Land, L Pennacchio and Loren Hauser.

In The Last Decade

Joint Genome Institute

2.4k papers receiving 212.3k citations

Fields of papers published by authors at Joint Genome Institute

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Joint Genome Institute 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 Joint Genome Institute at the time of their publication.

Countries citing scholars working at Joint Genome Institute

Since Specialization

Citations

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