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Related Experiment Video

Updated: Jul 18, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

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Food Composition Databases (FCDBs): A Bibliometric Analysis.

Andy Wai Kan Yeung¹

¹Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.

|August 26, 2023

Summary

This study analyzed 803 papers on food composition databases (FCDBs), identifying key researchers, institutions, and databases. Flavonoids were the most cited chemical class, highlighting the importance of accessible FCDBs for global nutrition and health.

Keywords:

FCDB VOSviewer bibliometric flavonoid food composition database

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Last Updated: Jul 18, 2025

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

Nutrition Science
Bibliometrics
Food Science

Background:

Food composition databases (FCDBs) are crucial for nutritional information.
Previous research lacked clarity on highly cited FCDBs and their contents.
Bibliometric analysis provides insights into research trends and influential contributions.

Purpose of the Study:

To identify leading authors, institutions, and journals in FCDB research.
To determine frequently cited chemical compounds and FCDBs in high-impact papers.
To understand the landscape of FCDB utilization in scientific literature.

Main Methods:

Bibliometric analysis of 803 papers related to FCDBs from Web of Science Core Collection (July 2023).
Identification of productive authors, institutions, and journals.
Analysis of chemical compounds and FCDBs in highly cited publications.

Main Results:

The USDA and WHO were the most productive institutions.
Flavonoids were the most frequently cited chemical class, likely due to health benefits.
Key FCDBs identified include USDA databases, Fineli, EuroFIR eBASIS, and Phenol-Explorer.

Conclusions:

Accessible, high-quality FCDBs are essential for advancing global nutrition and public health research.
Promoting international FCDBs can enhance nutritional understanding and application.
Further research should focus on the impact and accessibility of these vital data resources.