Systems analysis of adverse drug events. ADE Prevention Study Group.

495 indexed citations
published 1995

Countries where authors are citing Systems analysis of adverse drug events. ADE Prevention Study Group.

Specialization
Citations

This map shows the geographic impact of Systems analysis of adverse drug events. ADE Prevention Study Group.. 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 Systems analysis of adverse drug events. ADE Prevention Study Group. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Systems analysis of adverse drug events. ADE Prevention Study Group. more than expected).

Fields of papers citing Systems analysis of adverse drug events. ADE Prevention Study Group.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Systems analysis of adverse drug events. ADE Prevention Study Group.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Systems analysis of adverse drug events. ADE Prevention Study Group..

About Systems analysis of adverse drug events. ADE Prevention Study Group.

This paper, published in 1995, received 495 indexed citations . Written by David W. Bates, Jeffrey S. Cooper, Harold J. DeMonaco, Robert K. Hallisey and Glenn Laffel covering the research area of Emergency Medical Services. It is primarily cited by scholars working on Emergency Medical Services (322 citations), Geriatrics and Gerontology (267 citations) and Health Information Management (158 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/w42083063.

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