BMJ evidence-based medicine

430 papers and 6.4k indexed citations i.

About

The 430 papers published in BMJ evidence-based medicine in the last decades have received a total of 6.4k indexed citations. Papers published in BMJ evidence-based medicine usually cover General Health Professions (147 papers), Statistics, Probability and Uncertainty (118 papers) and Public Health, Environmental and Occupational Health (117 papers) specifically the topics of Meta-analysis and systematic reviews (117 papers), Health Systems, Economic Evaluations, Quality of Life (100 papers) and Health Sciences Research and Education (47 papers). The most active scholars publishing in BMJ evidence-based medicine are M. Hassan Murad, Samir Haffar, Shahnaz Sultan, Fateh Bazerbachi, Jeffrey K Aronson, David Nunan, Kamal R Mahtani, Carl Heneghan, Christian Gluud and Nicholas DeVito.

In The Last Decade

Fields of papers published in BMJ evidence-based medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in BMJ evidence-based medicine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in BMJ evidence-based medicine.

Countries where authors publish in BMJ evidence-based medicine

Since Specialization
Citations

This map shows the geographic impact of research published in BMJ evidence-based medicine. 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 papers published in BMJ evidence-based medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BMJ evidence-based medicine more than expected).

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.

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