Urinary tract infection: self-reported incidence and associated costs.
- Journal
- Annals of Epidemiology
In The Last Decade
doi.org/w9555267 →Countries where authors are citing Urinary tract infection: self-reported incidence and associated costs.
This map shows the geographic impact of Urinary tract infection: self-reported incidence and associated costs.. 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 Urinary tract infection: self-reported incidence and associated costs. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urinary tract infection: self-reported incidence and associated costs. more than expected).
Fields of papers citing Urinary tract infection: self-reported incidence and associated costs.
This network shows the impact of Urinary tract infection: self-reported incidence and associated costs.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Urinary tract infection: self-reported incidence and associated costs..
About Urinary tract infection: self-reported incidence and associated costs.
This paper, published in 2000, received 645 indexed citations . Written by Betsy Foxman, Robin Barlow, Hannah d’Arcy, Brenda W. Gillespie and Jack D. Sobel covering the research area of Epidemiology, Rheumatology and Urology. It is primarily cited by scholars working on Epidemiology (512 citations), Rheumatology (221 citations), Urology (207 citations), Endocrinology (162 citations) and Pediatrics, Perinatology and Child Health (151 citations). Published in Annals of Epidemiology.
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/w9555267.