JACC Basic to Translational Science

676 papers and 16.3k indexed citations i.

About

The 676 papers published in JACC Basic to Translational Science in the last decades have received a total of 16.3k indexed citations. Papers published in JACC Basic to Translational Science usually cover Cardiology and Cardiovascular Medicine (356 papers), Molecular Biology (208 papers) and Surgery (164 papers) specifically the topics of Cardiovascular Function and Risk Factors (95 papers), Cardiac Fibrosis and Remodeling (65 papers) and Cardiomyopathy and Myosin Studies (47 papers). The most active scholars publishing in JACC Basic to Translational Science are Gail A. Van Norman, Subodh Verma, Gary D. Lopaschuk, Nikolaos G. Frangogiannis, Claudio Humeres, Douglas L. Mann, Hani N. Sabbah, Milton Packer, Peter Libby and Flora Sam.

In The Last Decade

Fields of papers published in JACC Basic to Translational Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in JACC Basic to Translational Science. 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 JACC Basic to Translational Science.

Countries where authors publish in JACC Basic to Translational Science

Since Specialization
Citations

This map shows the geographic impact of research published in JACC Basic to Translational Science. 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 JACC Basic to Translational Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JACC Basic to Translational Science 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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