The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.
Impact in
- Epidemiology 114
- Journal
- PubMed
In The Last Decade
doi.org/w64138075 →Countries where authors are citing The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.
This map shows the geographic impact of The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.. 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 The National Health and Nutrition Examination Survey: Sample Design, 1999-2006. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The National Health and Nutrition Examination Survey: Sample Design, 1999-2006. more than expected).
Fields of papers citing The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.
This network shows the impact of The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The National Health and Nutrition Examination Survey: Sample Design, 1999-2006..
About The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.
This paper, published in 2012, received 543 indexed citations . Written by Vincent Carroll, R. Hirsch and Susan E. Schober. It is primarily cited by scholars working on Public Health, Environmental and Occupational Health (153 citations), Epidemiology (114 citations), Physiology (111 citations), Cardiology and Cardiovascular Medicine (66 citations) and Endocrinology, Diabetes and Metabolism (64 citations). Published in PubMed.
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/w64138075.