Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?

628 indexed citations

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This paper, published in 2012, received 628 indexed citations. Written by Ralph J. DeBerardinis and Craig B. Thompson covering the research area of Molecular Biology and Physiology. It is primarily cited by scholars working on Molecular Biology (403 citations), Cancer Research (215 citations) and Physiology (61 citations). Published in Cell.

Countries where authors are citing Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?

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Citations

This map shows the geographic impact of Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?. 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 Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us? more than expected).

Fields of papers citing Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cellular Metabolism and Disease: What Do Metabolic Outliers Teach Us?.

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/10.1016/j.cell.2012.02.032.

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