Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis

1.3k indexed citations
published 2008

Countries where authors are citing Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis

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Citations

This map shows the geographic impact of Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis. 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 Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis more than expected).

Fields of papers citing Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis.

About Polysaccharide utilization by gut bacteria: potential for new insights from genomic analysis

This paper, published in 2008, received 1.3k indexed citations . Written by Harry J. Flint, Edward A. Bayer, Marco T. Rincón, Raphael Lamed and Bryan A. White covering the research area of Molecular Biology, Nutrition and Dietetics and Food Science. It is primarily cited by scholars working on Molecular Biology (829 citations), Food Science (281 citations) and Nutrition and Dietetics (246 citations). Published in Nature Reviews Microbiology.

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.

This paper is also available at doi.org/10.1038/nrmicro1817.

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