Analysis and prediction of cardiovascular research hotspots, trends and interdisciplinarity

This study provides valuable insights into the research hotspots for cardiovascular research, including an increasing emphasis on early disease detection and prevention, exploration of minimally invasive treatments and assessment of risk factors. The research landscape demonstrates signs of interdisciplinarity and integration as reflected in citation relationships. These findings suggest practical implications for optimising resource allocation in healthcare systems, guiding clinical guideline updates and informing policy-making to prioritise high-impact research areas aligned with evolving CVD challenges. Given the evolving global burden of CVD, continuous research and innovation are imperative, with interdisciplinary collaboration assuming a pivotal role in advancing scientific knowledge.

Authors

Institutions

Publication Details

Journal
Heart
Published
2025-08-28
DOI
https://doi.org/10.1136/heartjnl-2025-325877
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Analysis and prediction of cardiovascular research hotspots, trends and interdisciplinarity

Shouzheng Wang, Yi Shi, Wenbin Ouyang, Xuanqi An et al.
Heart
Artificial Intelligence in Healthcare and Education
article

Analysis and prediction of cardiovascular research hotspots, trends and interdisciplinarity

Shouzheng Wang, Yi Shi, Wenbin Ouyang, Xuanqi An, Zeye Liu, Chengliang Yin, Ziping Li, Fengwen Zhang, Yakun Li, Ruibing Xia, Wenchao Li, Hong Jiang, Cheng Wang, Xiaochun Sun, Anlin Dai, Guangyu Pan
article en

Abstract

This study provides valuable insights into the research hotspots for cardiovascular research, including an increasing emphasis on early disease detection and prevention, exploration of minimally invasive treatments and assessment of risk factors. The research landscape demonstrates signs of interdisciplinarity and integration as reflected in citation relationships. These findings suggest practical implications for optimising resource allocation in healthcare systems, guiding clinical guideline updates and informing policy-making to prioritise high-impact research areas aligned with evolving CVD challenges. Given the evolving global burden of CVD, continuous research and innovation are imperative, with interdisciplinary collaboration assuming a pivotal role in advancing scientific knowledge.

HeartVol. 112(7)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Amsterdam UMC Location University of Amsterdam (NL), Chinese PLA General Hospital (CN), Zhengzhou University (CN), München Klinik (DE), Peking University People's Hospital (CN), Zhengzhou People's Hospital (CN)
National Natural Science Foundation of China, Sanming Project of Medicine in Shenzhen, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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.