The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.

515 indexed citations
published 2002

Countries where authors are citing The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.

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This map shows the geographic impact of The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.. 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 importance of patient expectations in predicting functional outcomes after total joint arthroplasty. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The importance of patient expectations in predicting functional outcomes after total joint arthroplasty. more than expected).

Fields of papers citing The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The importance of patient expectations in predicting functional outcomes after total joint arthroplasty..

About The importance of patient expectations in predicting functional outcomes after total joint arthroplasty.

This paper, published in 2002, received 515 indexed citations . Written by Nizar N. Mahomed, Matthew H. Liang, E. Francis Cook, Lawren H. Daltroy, Paul R. Fortin, Anne H. Fossel and Jeffrey N. Katz covering the research area of General Health Professions and Surgery. It is primarily cited by scholars working on Surgery (428 citations), Rheumatology (73 citations) and Pharmacology (65 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/w45598726.

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