Cell Metabolism

2.7k papers and 493.2k indexed citations i.

About

The 2.7k papers published in Cell Metabolism in the last decades have received a total of 493.2k indexed citations. Papers published in Cell Metabolism usually cover Molecular Biology (1.4k papers), Physiology (917 papers) and Surgery (500 papers) specifically the topics of Adipose Tissue and Metabolism (635 papers), Pancreatic function and diabetes (364 papers) and Mitochondrial Function and Pathology (309 papers). The most active scholars publishing in Cell Metabolism are Daniel J. Drucker, Craig B. Thompson, Natalya N. Pavlova, D. Grahame Hardie, Bruce M. Spiegelman, Christopher B. Newgard, Stephen R. Farmer, Mark P. Mattson, Satchidananda Panda and Fredrik Bäckhed.

In The Last Decade

Fields of papers published in Cell Metabolism

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cell Metabolism. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Cell Metabolism.

Countries where authors publish in Cell Metabolism

Since Specialization
Citations

This map shows the geographic impact of research published in Cell Metabolism. 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 published in Cell Metabolism with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell Metabolism 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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