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Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis

Bibliometric analysis is an effective method used to identify research trends based on historical publications that involves combining different frameworks, tools and methods, leading to the creation of different metrics. This study employed bibliometric analysis to investigate the global health ris...

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Detalles Bibliográficos
Autores principales: Ungureanu, Elena L., Mocanu, Andreea L., Stroe, Corina A., Duță, Denisa E., Mustățea, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649142/
https://www.ncbi.nlm.nih.gov/pubmed/37959095
http://dx.doi.org/10.3390/foods12213974
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author Ungureanu, Elena L.
Mocanu, Andreea L.
Stroe, Corina A.
Duță, Denisa E.
Mustățea, Gabriel
author_facet Ungureanu, Elena L.
Mocanu, Andreea L.
Stroe, Corina A.
Duță, Denisa E.
Mustățea, Gabriel
author_sort Ungureanu, Elena L.
collection PubMed
description Bibliometric analysis is an effective method used to identify research trends based on historical publications that involves combining different frameworks, tools and methods, leading to the creation of different metrics. This study employed bibliometric analysis to investigate the global health risk assessment of heavy metals in food from 2000 to 2022 using Web of Science and VOSviewer. We explore publication trends, affiliations, countries, journals, citations, keywords and author collaborations. Of the 573 publications on this topic, there has been a notable increase in recent years. The Ministry of Agriculture and Rural Affairs (China) and Shahid Beheshti University of Medical Sciences (Iran) are the most prolific affiliations. Environmental Science and Pollution Research is the top journal. Notably, “heavy metals”, “risk assessment”, “cadmium”, “lead”, and “trace elements” are frequently used keywords. A study by Miraglia et al. in 2009 received the most citations. Amin Mousavi Khaneghah (Poland) is the most prolific author, with 24 papers. Articles mainly focus on contamination levels in fish, seafood, cereals, dairy, meat, and fruit/vegetables. Some studies highlight potential risks, necessitating stricter food product controls for consumer safety.
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spelling pubmed-106491422023-10-30 Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis Ungureanu, Elena L. Mocanu, Andreea L. Stroe, Corina A. Duță, Denisa E. Mustățea, Gabriel Foods Review Bibliometric analysis is an effective method used to identify research trends based on historical publications that involves combining different frameworks, tools and methods, leading to the creation of different metrics. This study employed bibliometric analysis to investigate the global health risk assessment of heavy metals in food from 2000 to 2022 using Web of Science and VOSviewer. We explore publication trends, affiliations, countries, journals, citations, keywords and author collaborations. Of the 573 publications on this topic, there has been a notable increase in recent years. The Ministry of Agriculture and Rural Affairs (China) and Shahid Beheshti University of Medical Sciences (Iran) are the most prolific affiliations. Environmental Science and Pollution Research is the top journal. Notably, “heavy metals”, “risk assessment”, “cadmium”, “lead”, and “trace elements” are frequently used keywords. A study by Miraglia et al. in 2009 received the most citations. Amin Mousavi Khaneghah (Poland) is the most prolific author, with 24 papers. Articles mainly focus on contamination levels in fish, seafood, cereals, dairy, meat, and fruit/vegetables. Some studies highlight potential risks, necessitating stricter food product controls for consumer safety. MDPI 2023-10-30 /pmc/articles/PMC10649142/ /pubmed/37959095 http://dx.doi.org/10.3390/foods12213974 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ungureanu, Elena L.
Mocanu, Andreea L.
Stroe, Corina A.
Duță, Denisa E.
Mustățea, Gabriel
Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title_full Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title_fullStr Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title_full_unstemmed Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title_short Assessing Health Risks Associated with Heavy Metals in Food: A Bibliometric Analysis
title_sort assessing health risks associated with heavy metals in food: a bibliometric analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649142/
https://www.ncbi.nlm.nih.gov/pubmed/37959095
http://dx.doi.org/10.3390/foods12213974
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