Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis

2.3k indexed citations

Abstract

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This paper, published in 1992, received 2.3k indexed citations. Written by C. N. Hales and David J.P. Barker covering the research area of Pediatrics, Perinatology and Child Health, Physiology and Endocrinology, Diabetes and Metabolism. It is primarily cited by scholars working on Pediatrics, Perinatology and Child Health (1.7k citations), Obstetrics and Gynecology (695 citations) and Physiology (607 citations). Published in Diabetologia.

Countries where authors are citing Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis

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Citations

This map shows the geographic impact of Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. 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 Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis more than expected).

Fields of papers citing Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis.

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/10.1007/bf00400248.

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