Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH)
Impact in
Classified as
- Journal
- BMJ
In The Last Decade
doi.org/10.1136/bmj.37938.645220.ee →Countries where authors are citing Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH)
This map shows the geographic impact of Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH). 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 Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH) more than expected).
Fields of papers citing Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH)
This network shows the impact of Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH).
About Exercise training meta-analysis of trials in patients with chronic heart failure (ExTraMATCH)
This paper, published in 2004, received 767 indexed citations . Written by Massimo Francesco Piepoli, Constantinos H. Davos, Dárrel P. Francis and Andrew Stewart Coats covering the research area of Complementary and alternative medicine. It is primarily cited by scholars working on Cardiology and Cardiovascular Medicine (487 citations), Complementary and alternative medicine (345 citations), Physiology (61 citations), Biomedical Engineering (39 citations) and Surgery (34 citations). Published in BMJ.
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/10.1136/bmj.37938.645220.ee.