The antimicrobial peptides and their potential clinical applications.

857 indexed citations
published 2019
Authors
Jun LeiSiyu HuangChenhong ZhuPing LiJun He
Journal
PubMed

In The Last Decade

doi.org/w68572607 →

Countries where authors are citing The antimicrobial peptides and their potential clinical applications.

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Citations

This map shows the geographic impact of The antimicrobial peptides and their potential clinical applications.. 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 antimicrobial peptides and their potential clinical applications. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The antimicrobial peptides and their potential clinical applications. more than expected).

Fields of papers citing The antimicrobial peptides and their potential clinical applications.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The antimicrobial peptides and their potential clinical applications.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The antimicrobial peptides and their potential clinical applications..

About The antimicrobial peptides and their potential clinical applications.

This paper, published in 2019, received 857 indexed citations . Written by Jun Lei, Siyu Huang, Chenhong Zhu, Ping Li, Jun He and David H. Coy covering the research area of Molecular Biology and Microbiology. It is primarily cited by scholars working on Microbiology (589 citations), Molecular Biology (510 citations) and Immunology (114 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/w68572607.

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