Hypertension Research

4.2k papers and 92.1k indexed citations i.

About

The 4.2k papers published in Hypertension Research in the last decades have received a total of 92.1k indexed citations. Papers published in Hypertension Research usually cover Cardiology and Cardiovascular Medicine (2.6k papers), Endocrinology, Diabetes and Metabolism (987 papers) and Molecular Biology (631 papers) specifically the topics of Blood Pressure and Hypertension Studies (1.5k papers), Cardiovascular Health and Disease Prevention (757 papers) and Hormonal Regulation and Hypertension (723 papers). The most active scholars publishing in Hypertension Research are Kazuomi Kario, Takao Saruta, Hiromi Rakugi, Toshio Ogihara, Akira Yamashina, Yuhei Kawano, Hirofumi Tomiyama, Kazuyuki Shimada, Mitsuru Ohishi and Sadayoshi Ito.

In The Last Decade

Fields of papers published in Hypertension Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Hypertension Research. 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 Hypertension Research.

Countries where authors publish in Hypertension Research

Since Specialization
Citations

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