Revised Estimates for the Number of Human and Bacteria Cells in the Body

3.3k indexed citations

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This paper, published in 2016, received 3.3k indexed citations. Written by Ron Sender, Shai Fuchs and Ron Milo covering the research area of Molecular Biology, Physiology and Immunology. It is primarily cited by scholars working on Molecular Biology (2.4k citations), Physiology (752 citations) and Infectious Diseases (561 citations). Published in PLoS Biology.

Countries where authors are citing Revised Estimates for the Number of Human and Bacteria Cells in the Body

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This map shows the geographic impact of Revised Estimates for the Number of Human and Bacteria Cells in the Body. 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 Revised Estimates for the Number of Human and Bacteria Cells in the Body with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Revised Estimates for the Number of Human and Bacteria Cells in the Body more than expected).

Fields of papers citing Revised Estimates for the Number of Human and Bacteria Cells in the Body

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Revised Estimates for the Number of Human and Bacteria Cells in the Body. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Revised Estimates for the Number of Human and Bacteria Cells in the Body.

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/10.1371/journal.pbio.1002533.

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