Perceived stress in a probability sample of the United States

3.0k indexed citations
published 1988

In The Last Decade

doi.org/w87113977 →

Countries where authors are citing Perceived stress in a probability sample of the United States

Specialization
Citations

This map shows the geographic impact of Perceived stress in a probability sample of the United States. 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 Perceived stress in a probability sample of the United States with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Perceived stress in a probability sample of the United States more than expected).

Fields of papers citing Perceived stress in a probability sample of the United States

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Perceived stress in a probability sample of the United States. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Perceived stress in a probability sample of the United States.

About Perceived stress in a probability sample of the United States

This paper, published in 1988, received 3.0k indexed citations . Written by Sheldon Cohen covering the research area of Social Psychology. It is primarily cited by scholars working on Clinical Psychology (979 citations), Social Psychology (519 citations), General Health Professions (493 citations), Experimental and Cognitive Psychology (289 citations) and Public Health, Environmental and Occupational Health (274 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/w87113977.

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