Design, synthesis and antimicrobial activity of novel berberine derivatives

This study indicates that the BBR derivatives are hopeful for further exploration as the lead compound with novel antimicrobial agents. © 2024 Society of Chemical Industry.

Authors

Institutions

Publication Details

Journal
Pest Management Science
Published
2024-08-13
DOI
https://doi.org/10.1002/ps.8363
Citations
8
Primary Topic
Berberine and alkaloids research
Type
article
Field-Weighted Citation Impact
3.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design, synthesis and antimicrobial activity of novel berberine derivatives

Bao‐Qi Zhang, Ying‐Qian Liu, Jun‐Xia An, Zhijun Zhang et al.
8 citations
Pest Management Science
Berberine and alkaloids research
3.58
article

Design, synthesis and antimicrobial activity of novel berberine derivatives

Bao‐Qi Zhang, Ying‐Qian Liu, Jun‐Xia An, Zhijun Zhang, Guo‐Liang Mou, Fu‐Ping Li, Ya‐Rui Jin, Deng‐Tuo Wang, Lu‐Lu Qin, Cheng‐Xin Jing, Gui‐Sha Chen, Li Ma
article en
8 citations

Abstract

This study indicates that the BBR derivatives are hopeful for further exploration as the lead compound with novel antimicrobial agents. © 2024 Society of Chemical Industry.

Pest Management ScienceVol. 80(12)
Huzhou Normal University (CN), Lanzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Gansu Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 7%
Berberine and alkaloids research
3.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.