Weight Bias among Health Professionals Specializing in Obesity

Abstract

About

This paper, published in 1950, received 590 indexed citations. Written by Marlene B. Schwartz, Heather Chambliss, Kelly D. Brownell, Steven N. Blair and Charles J. Billington covering the research area of Public Health, Environmental and Occupational Health, Clinical Psychology and Pharmacy. It is primarily cited by scholars working on Pharmacy (503 citations), Clinical Psychology (307 citations) and Public Health, Environmental and Occupational Health (237 citations). Published in Obesity Research.

In The Last Decade

doi.org/10.1038/oby.2003.142 →

Countries where authors are citing Weight Bias among Health Professionals Specializing in Obesity

Since Specialization

Citations

This map shows the geographic impact of Weight Bias among Health Professionals Specializing in Obesity. 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 Weight Bias among Health Professionals Specializing in Obesity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weight Bias among Health Professionals Specializing in Obesity more than expected).

Fields of papers citing Weight Bias among Health Professionals Specializing in Obesity

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Weight Bias among Health Professionals Specializing in Obesity. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Weight Bias among Health Professionals Specializing in Obesity.

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/10.1038/oby.2003.142.

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