Hyaluronic Acid in Inflammation and Tissue Regeneration.

437 indexed citations
published 2016
Authors
Małgorzata LitwiniukAlicja KrejnerMarcus S SpeyrerTomasz Grzela
Journal
PubMed

In The Last Decade

doi.org/w65454360 →

Countries where authors are citing Hyaluronic Acid in Inflammation and Tissue Regeneration.

Specialization
Citations

This map shows the geographic impact of Hyaluronic Acid in Inflammation and Tissue Regeneration.. 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 Hyaluronic Acid in Inflammation and Tissue Regeneration. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyaluronic Acid in Inflammation and Tissue Regeneration. more than expected).

Fields of papers citing Hyaluronic Acid in Inflammation and Tissue Regeneration.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Hyaluronic Acid in Inflammation and Tissue Regeneration.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Hyaluronic Acid in Inflammation and Tissue Regeneration..

About Hyaluronic Acid in Inflammation and Tissue Regeneration.

This paper, published in 2016, received 437 indexed citations . Written by Małgorzata Litwiniuk, Alicja Krejner, Marcus S Speyrer and Tomasz Grzela covering the research area of Rehabilitation and Cell Biology. It is primarily cited by scholars working on Cell Biology (131 citations), Rehabilitation (100 citations) and Biomaterials (86 citations). Published in PubMed.

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/w65454360.

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