The cellular and signaling networks linking the immune system and metabolism in disease

1.2k indexed citations

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This paper, published in 2012, received 1.2k indexed citations. Written by Olivia Osborn and Jerrold M. Olefsky covering the research area of Epidemiology, Immunology and Physiology. It is primarily cited by scholars working on Epidemiology (566 citations), Physiology (473 citations) and Immunology (361 citations). Published in Nature Medicine.

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Countries where authors are citing The cellular and signaling networks linking the immune system and metabolism in disease

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This map shows the geographic impact of The cellular and signaling networks linking the immune system and metabolism in disease. 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 The cellular and signaling networks linking the immune system and metabolism in disease with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The cellular and signaling networks linking the immune system and metabolism in disease more than expected).

Fields of papers citing The cellular and signaling networks linking the immune system and metabolism in disease

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The cellular and signaling networks linking the immune system and metabolism in disease. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The cellular and signaling networks linking the immune system and metabolism in disease.

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/nm.2627.

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