A bibliometric analysis and visualization of global food addiction over the last decade

Global research on food addiction primarily focuses on understanding the psychological and neurological underpinnings, metabolic implications, addictive behaviors, and treatment modalities such as sleeve gastrectomy. Future research aims to develop personalized prevention and intervention strategies for food addiction.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2024-10-25
DOI
https://doi.org/10.1097/md.0000000000040049
Citations
1
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bibliometric analysis and visualization of global food addiction over the last decade

Ruibin Li, Wei Wang, R Li, Tao Liu
1 citations
Medicine
Eating Disorders and Behaviors
0.64
article

A bibliometric analysis and visualization of global food addiction over the last decade

Ruibin Li, Wei Wang, R Li, Tao Liu
article en
1 citations

Abstract

Global research on food addiction primarily focuses on understanding the psychological and neurological underpinnings, metabolic implications, addictive behaviors, and treatment modalities such as sleeve gastrectomy. Future research aims to develop personalized prevention and intervention strategies for food addiction.

MedicineVol. 103(43)
Karamay Central Hospital of Xinjiang (CN), Baotou Medical College (CN)
Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 27%
Eating Disorders and Behaviors
0.64
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.