Maternal Obesity and Risk of Gestational Diabetes Mellitus

807 indexed citations

Abstract

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About

This paper, published in 2007, received 807 indexed citations. Written by Susan Y. Chu, William M. Callaghan, Shin Y. Kim, Christopher H. Schmid, Joseph Lau, Lucinda J. England and Patricia M. Dietz covering the research area of Obstetrics and Gynecology and Surgery. It is primarily cited by scholars working on Obstetrics and Gynecology (706 citations), Pediatrics, Perinatology and Child Health (364 citations) and Surgery (294 citations). Published in Diabetes Care.

Countries where authors are citing Maternal Obesity and Risk of Gestational Diabetes Mellitus

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Citations

This map shows the geographic impact of Maternal Obesity and Risk of Gestational Diabetes Mellitus. 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 Maternal Obesity and Risk of Gestational Diabetes Mellitus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maternal Obesity and Risk of Gestational Diabetes Mellitus more than expected).

Fields of papers citing Maternal Obesity and Risk of Gestational Diabetes Mellitus

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Maternal Obesity and Risk of Gestational Diabetes Mellitus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Maternal Obesity and Risk of Gestational Diabetes Mellitus.

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/10.2337/dc06-2559a.

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