Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation
In The Last Decade
doi.org/w56883024 →Countries where authors are citing Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation
This map shows the geographic impact of Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation. 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 Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation more than expected).
Fields of papers citing Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation
This network shows the impact of Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation.
About Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation
This paper, published in 2012, received 528 indexed citations . Written by Dan Glickman, Lynn Parker, Leslie J. Sim, Heather Del Valle Cook and Emily Miller covering the research area of General Health Professions and Public Health, Environmental and Occupational Health. It is primarily cited by scholars working on Public Health, Environmental and Occupational Health (397 citations), General Health Professions (229 citations) and Pharmacy (97 citations).
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/w56883024.