Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis

INTRODUCTION: Hashimoto's thyroiditis is the leading cause of hypothyroidism in iodine-sufficient regions and is often accompanied by various comorbid conditions. Hashimoto's encephalopathy (HE) represents one of its most severe neurological complications. This study aims to provide clinicians and researchers with a comprehensive understanding of recent research trends in HE. METHODS: We retrieved global publications on HE from 1990 to 2025 from the Web of Science Core Collection database. Bibliometric analysis was conducted utilizing CiteSpace. RESULTS: As of now, 641 publications on HE have been authored by researchers across 65 countries. Yoneda Makoto has authored the largest number of publications on HE, while Brain L. is the most frequently co-cited author. The Mayo Clinic emerges as the leading institution in HE research, and the United States ranks first in terms of publication volume, maintaining a dominant position in the field. Neurology stands out as both the most prolific journal in terms of publications and the most frequently co-cited source. An analysis of keywords and cited references reveals that current research hotspots in HE primarily center on its clinical manifestations, diagnostic criteria, and serological biomarkers-particularly the role of anti-α-enolase antibodies. CONCLUSION: These focal points reflect ongoing efforts to better characterize the disease and enhance diagnostic accuracy. In addition, the integration of emerging technologies-such as advanced imaging, high-throughput omics, and machine learning-holds promise for developing novel strategies aimed at the early detection and more precise diagnosis of HE, potentially improving patient outcomes.

Authors

Publication Details

Journal
Neuroendocrinology
Published
2026-05-08
DOI
https://doi.org/10.1159/000552032
Primary Topic
Autoimmune Neurological Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis

Zhiguo Ding, Peijin Li, Qian Wang, Ningjing Cai et al.
Neuroendocrinology
Autoimmune Neurological Disorders and Treatments
article

Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis

Zhiguo Ding, Peijin Li, Qian Wang, Ningjing Cai, Junhui Wang
article en

Abstract

INTRODUCTION: Hashimoto's thyroiditis is the leading cause of hypothyroidism in iodine-sufficient regions and is often accompanied by various comorbid conditions. Hashimoto's encephalopathy (HE) represents one of its most severe neurological complications. This study aims to provide clinicians and researchers with a comprehensive understanding of recent research trends in HE. METHODS: We retrieved global publications on HE from 1990 to 2025 from the Web of Science Core Collection database. Bibliometric analysis was conducted utilizing CiteSpace. RESULTS: As of now, 641 publications on HE have been authored by researchers across 65 countries. Yoneda Makoto has authored the largest number of publications on HE, while Brain L. is the most frequently co-cited author. The Mayo Clinic emerges as the leading institution in HE research, and the United States ranks first in terms of publication volume, maintaining a dominant position in the field. Neurology stands out as both the most prolific journal in terms of publications and the most frequently co-cited source. An analysis of keywords and cited references reveals that current research hotspots in HE primarily center on its clinical manifestations, diagnostic criteria, and serological biomarkers-particularly the role of anti-α-enolase antibodies. CONCLUSION: These focal points reflect ongoing efforts to better characterize the disease and enhance diagnostic accuracy. In addition, the integration of emerging technologies-such as advanced imaging, high-throughput omics, and machine learning-holds promise for developing novel strategies aimed at the early detection and more precise diagnosis of HE, potentially improving patient outcomes.

Neuroendocrinology
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Autoimmune Neurological Disorders and Treatments
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.