ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis

Abstract

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About

This paper, published in 1950, received 414 indexed citations. Written by Ana Cristina Simões e Silva, Kátia D. Silveira, AJ Ferreira and Mauro Martins Teixeira covering the research area of Immunology, Genetics and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Cardiology and Cardiovascular Medicine (180 citations), Infectious Diseases (145 citations) and Molecular Biology (101 citations). Published in British Journal of Pharmacology.

Countries where authors are citing ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis

Since Specialization
Citations

This map shows the geographic impact of ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis. 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 ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis more than expected).

Fields of papers citing ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ACE2, angiotensin‐(1‐7) and Mas receptor axis in inflammation and fibrosis.

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/10.1111/bph.12159.

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