The Agenda for Familial Hypercholesterolemia
Impact in
- Surgery 454
Classified as
- Journal
- Circulation
In The Last Decade
doi.org/10.1161/cir.0000000000000297 →Countries where authors are citing The Agenda for Familial Hypercholesterolemia
This map shows the geographic impact of The Agenda for Familial Hypercholesterolemia. 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 Agenda for Familial Hypercholesterolemia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Agenda for Familial Hypercholesterolemia more than expected).
Fields of papers citing The Agenda for Familial Hypercholesterolemia
This network shows the impact of The Agenda for Familial Hypercholesterolemia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Agenda for Familial Hypercholesterolemia.
About The Agenda for Familial Hypercholesterolemia
This paper, published in 2015, received 552 indexed citations . Written by Samuel S. Gidding, Mary Ann Champagne, Sarah D. de Ferranti, Joep C. Defesche, Matthew K. Ito, Joshua W. Knowles, Brian W. McCrindle, Frederick Johan Raal, Daniel James Rader and Raul Dias Santos covering the research area of Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. It is primarily cited by scholars working on Surgery (454 citations), Endocrinology, Diabetes and Metabolism (100 citations), Cancer Research (92 citations), Cardiology and Cardiovascular Medicine (85 citations) and Economics and Econometrics (64 citations). Published in Circulation.
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/10.1161/cir.0000000000000297.