Persistent metabolic adaptation 6 years after “The Biggest Loser” competition

Abstract

loading...

About

This paper, published in 1950, received 442 indexed citations. Written by Juen Guo, Lilian Howard, Jennifer C. Kerns, Nicolas D. Knuth, Robert J. Brychta, Kong Y. Chen, Monica C. Skarulis, Mary Walter, Peter J. Walter and Kevin D. Hall covering the research area of Physiology and Cell Biology. It is primarily cited by scholars working on Physiology (280 citations), Public Health, Environmental and Occupational Health (102 citations) and Endocrine and Autonomic Systems (87 citations). Published in Obesity.

Countries where authors are citing Persistent metabolic adaptation 6 years after “The Biggest Loser” competition

Since Specialization
Citations

This map shows the geographic impact of Persistent metabolic adaptation 6 years after “The Biggest Loser” competition. 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 Persistent metabolic adaptation 6 years after “The Biggest Loser” competition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Persistent metabolic adaptation 6 years after “The Biggest Loser” competition more than expected).

Fields of papers citing Persistent metabolic adaptation 6 years after “The Biggest Loser” competition

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Persistent metabolic adaptation 6 years after “The Biggest Loser” competition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Persistent metabolic adaptation 6 years after “The Biggest Loser” competition.

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/10.1002/oby.21538.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026