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Cited by 1,716

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

A Review on Recent Advances in Nitrogen-Containing Molecules and Their Biological Applications

Open access
Kerru, Nagaraju, Gummidi, Lalitha, Maddila, Suresh, Gangu, Kranthi Kumar, Jonnalagadda, Sreekantha B.·2020·Molecules

Abstract

The analogs of nitrogen-based heterocycles occupy an exclusive position as a valuable source of therapeutic agents in medicinal chemistry. More than 75% of drugs approved by the FDA and currently available in the market are nitrogen-containing heterocyclic moieties. In the forthcoming decade, a much greater share of new nitrogen-based pharmaceuticals is anticipated. Many new nitrogen-based heterocycles have been designed. The number of novel N-heterocyclic moieties with significant physiological properties and promising applications in medicinal chemistry is ever-growing. In this review, we consolidate the recent advances on novel nitrogen-containing heterocycles and their distinct biological activities, reported over the past one year (2019 to early 2020). This review highlights the trends in the use of nitrogen-based moieties in drug design and the development of different potent and competent candidates against various diseases.

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Metadata

Authors
Kerru, N., Gummidi, L., Maddila, S., Gangu, K. K., & Jonnalagadda, S. B.
Venue
Molecules
Publisher
MDPI AG
Published
2020-04-20
Volume
25
Issue
8
Pages
1909
ISSN
1420-3049 (ISSN-L)
OpenAlex
W3016762617
Cited by
1,716
References
70
FWCI
72.05
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Review on Recent Advances in Nitrogen-Containing Molecules and Their Biological Applications. https://app.cochat.ai/papers/10.3390/molecules25081909
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Kerru, N., Gummidi, L., Maddila, S., Gangu, K. K., & Jonnalagadda, S. B. (2020). A Review on Recent Advances in Nitrogen-Containing Molecules and Their Biological Applications. Molecules. https://doi.org/10.3390/molecules25081909

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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