Global trends in tea and diabetes research: a bibliometric analysis of literature from 2000 to 2024

Tea has attracted significant attention for its potential antidiabetic properties, primarily attributed to its bioactive compounds such as polyphenols. This study aims to systematically evaluate the global research landscape and emerging trends in tea and diabetes. Publications were retrieved from the Web of Science Core Collection and analyzed using bibliometric tools, including VOSviewer, RStudio, and CiteSpace. A total of 2634 publications from 103 countries/regions (2000-2024) were included, with an annual growth rate of 12.25%. China, the United States, and Japan were the leading contributors. Harvard University and Gan RY were the most influential institution and author, respectively, while Nutrients was the leading journal. Research themes have evolved from early mechanistic studies focusing on antioxidant and anti-inflammatory properties of tea polyphenols to more integrative investigations involving gut microbiota, inflammation, and metabolic regulation. Research on tea and diabetes has shifted toward a more comprehensive and translational framework. Tea polyphenols play important roles in improving insulin sensitivity, reducing oxidative stress and inflammation, and modulating metabolic pathways, although challenges such as low bioavailability remain. These findings provide valuable insights into the current research landscape and may inform future studies on diabetes prevention and management.

Authors

Institutions

Publication Details

Journal
Nutrition and Diabetes
Published
2026-05-08
DOI
https://doi.org/10.1038/s41387-026-00427-9
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global trends in tea and diabetes research: a bibliometric analysis of literature from 2000 to 2024

D. Wang, Yanan Ma, Jilong Bai, Rui Ren et al.
Nutrition and Diabetes
Tea Polyphenols and Effects
article

Global trends in tea and diabetes research: a bibliometric analysis of literature from 2000 to 2024

D. Wang, Yanan Ma, Jilong Bai, Rui Ren, Jinyan Liu, Yao Zhang, Liying Wang, Wenxu Wang, Na Li
article en

Abstract

Tea has attracted significant attention for its potential antidiabetic properties, primarily attributed to its bioactive compounds such as polyphenols. This study aims to systematically evaluate the global research landscape and emerging trends in tea and diabetes. Publications were retrieved from the Web of Science Core Collection and analyzed using bibliometric tools, including VOSviewer, RStudio, and CiteSpace. A total of 2634 publications from 103 countries/regions (2000-2024) were included, with an annual growth rate of 12.25%. China, the United States, and Japan were the leading contributors. Harvard University and Gan RY were the most influential institution and author, respectively, while Nutrients was the leading journal. Research themes have evolved from early mechanistic studies focusing on antioxidant and anti-inflammatory properties of tea polyphenols to more integrative investigations involving gut microbiota, inflammation, and metabolic regulation. Research on tea and diabetes has shifted toward a more comprehensive and translational framework. Tea polyphenols play important roles in improving insulin sensitivity, reducing oxidative stress and inflammation, and modulating metabolic pathways, although challenges such as low bioavailability remain. These findings provide valuable insights into the current research landscape and may inform future studies on diabetes prevention and management.

Nutrition and Diabetes
China Medical University (CN)
Openalex Percentile: Top 6%
Tea Polyphenols and Effects
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.