Bibliometric Analysis of Research Trends in Pulmonary Rehabilitation of Respiratory Tract Neoplasms

Pulmonary rehabilitation of respiratory tract neoplasms has attracted increasing attention from researchers in recent years. This study aims to identify current research hotspots and status in this field through bibliometric and visualization analysis. Literature on pulmonary rehabilitation of respiratory tract neoplasms, meeting the inclusion criteria, was collected from the Core Collection. Bibliometric analysis and visualization were performed using CiteSpace. Our study included 1,410 documents on pulmonary rehabilitation of respiratory tract neoplasms, authored by 7,595 researchers from 2,327 institutions across 79 countries/regions, and published in 636 journals. The USA emerged as the most productive and influential country in this field, with 355 publications and 16,748 citations. The University of California System and University of London were recognized as the most productive institution and the institution with the highest citation count, respectively. Medical Physics was the leading journal. Irene Julie Higginson and Sara Booth were identified as the most productive and most cited authors, respectively. Cluster analysis identified 17 key areas, focusing on the diseases, treatments, clinical trials and interventions. The relationship between rehabilitation of pulmonary neoplasms remains a contentious and frequently discussed topic. Our findings indicate that research primarily focuses on cancer, interventions, complications, exercises, outcomes.

Authors

Institutions

Publication Details

Journal
Biomedical Data Science
Published
2025-01-01
DOI
https://doi.org/10.47297/wspbdswsp2752-630533.20250502
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bibliometric Analysis of Research Trends in Pulmonary Rehabilitation of Respiratory Tract Neoplasms

X J Li, Ying Li, Jianhui Huang, Yuqin Chen
Biomedical Data Science
Delphi Technique in Research
article

Bibliometric Analysis of Research Trends in Pulmonary Rehabilitation of Respiratory Tract Neoplasms

X J Li, Ying Li, Jianhui Huang, Yuqin Chen
article en

Abstract

Pulmonary rehabilitation of respiratory tract neoplasms has attracted increasing attention from researchers in recent years. This study aims to identify current research hotspots and status in this field through bibliometric and visualization analysis. Literature on pulmonary rehabilitation of respiratory tract neoplasms, meeting the inclusion criteria, was collected from the Core Collection. Bibliometric analysis and visualization were performed using CiteSpace. Our study included 1,410 documents on pulmonary rehabilitation of respiratory tract neoplasms, authored by 7,595 researchers from 2,327 institutions across 79 countries/regions, and published in 636 journals. The USA emerged as the most productive and influential country in this field, with 355 publications and 16,748 citations. The University of California System and University of London were recognized as the most productive institution and the institution with the highest citation count, respectively. Medical Physics was the leading journal. Irene Julie Higginson and Sara Booth were identified as the most productive and most cited authors, respectively. Cluster analysis identified 17 key areas, focusing on the diseases, treatments, clinical trials and interventions. The relationship between rehabilitation of pulmonary neoplasms remains a contentious and frequently discussed topic. Our findings indicate that research primarily focuses on cancer, interventions, complications, exercises, outcomes.

Biomedical Data ScienceVol. 5(2)
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
Good health and well-being
Openalex Percentile: Top 73%
Delphi Technique in Research
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.