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Review
. 2023 Feb 8;12(2):414.
doi: 10.3390/antiox12020414.

Honey's Antioxidant and Antimicrobial Properties: A Bibliometric Study

Affiliations
Review

Honey's Antioxidant and Antimicrobial Properties: A Bibliometric Study

Christos Stefanis et al. Antioxidants (Basel). .

Abstract

Research attention has been drawn to honey's nutritional status and beneficial properties for human health. This study aimed to provide a bibliometric analysis of honey's antioxidant and antimicrobial properties. The research advancements within this field from 2001 to 2022 were addressed using the Scopus database, R, and VOSviewer. Of the 383 results, articles (273) and reviews (81) were the most common document types, while the annual growth rate of published manuscripts reached 17.5%. The most relevant topics about honey's antimicrobial and antioxidant properties were related to the agricultural and biological sciences, biochemistry, and pharmacology. According to a keyword analysis, the most frequent terms in titles, abstracts, and keywords were honey, antimicrobial, antioxidant, bee, propolis, phenolic compounds, wound, antibacterial, anti-inflammatory, and polyphenols. A trend topic analysis showed that the research agenda mainly encompassed antioxidants, pathogens, and anti-infection and chemical agents. In a co-occurrence analysis, antioxidants, anti-infection agents, and chemistry were connected to honey research. The initial research focus of this domain was primarily on honey's anti-inflammatory and antineoplastic activity, wound healing, and antibacterial agents. The research agenda was enriched in the subsequent years by pathogens, propolis, oxidative stress, and flavonoids. It was possible to pinpoint past trends and ongoing developments and provide a valuable insight into the field of honey research.

Keywords: R bibliometrix; VOSviewer; antimicrobial; antioxidant; bibliometric; honey.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Bee products, chemical composition, and honey therapeutic properties.
Figure 2
Figure 2
Research flow diagram.
Figure 3
Figure 3
Number of documents per year.
Figure 4
Figure 4
Top ten most productive countries.
Figure 5
Figure 5
Country collaboration network. (Node size is proportional to the number of publications per country. Edge size is proportional to the number of collaborations between two countries. Nodes are clustered using the Louvain algorithm).
Figure 6
Figure 6
(a) Most relevant sources; (b) documents by subject area.
Figure 7
Figure 7
Network, clusters, and number of documents of the authors.
Figure 8
Figure 8
Frequency word clouds of (a) titles; (b) abstracts; (c) keywords.
Figure 9
Figure 9
Word dynamics of Keywords plus.
Figure 10
Figure 10
Trend topics of Keywords plus (Interpretation: each topic is represented on the graph by a bubble, while the size of the bubble is proportional to the word occurrences. Minimum word frequency = 5. The grey bar represents the first and third quartiles of the occurrence distribution. 1 = 1-diphenyl 2 picrylhydrazyl).
Figure 11
Figure 11
Keyword analysis and total link strength of the keywords in each cluster.
Figure 12
Figure 12
Evolution of the research on the antimicrobial and antioxidant activities of honey, 2017–2021.

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