Mapping the future: bibliometric analysis of omics research trends in non-small cell lung cancer
Omics technologies, including genomics, transcriptomics, and proteomics, were widely used in the diagnosis, prognosis, and treatment of NSCLC. And innovative methods, including liquid biopsy and deep learning, demonstrate a profound impact on advancing the understanding and treatment strategies for NSCLC and warrant further investigation.
Authors
- Jinyang Hu
- Yufei Wang (ORCID: https://orcid.org/0000-0002-3090-513X)
- Linyu Wu (ORCID: https://orcid.org/0000-0001-7695-0385)
- Jiawei Chen (ORCID: https://orcid.org/0000-0001-5383-1359)
- Chen Gao (ORCID: https://orcid.org/0000-0001-9372-8014)
- Yueliang Zhu (ORCID: https://orcid.org/0000-0003-2006-9403)
Institutions
- Zhejiang Chinese Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1007/s12672-025-03140-8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Zhejiang Chinese Medical University
- Medical Science and Technology Project of Zhejiang Province
- Natural Science Foundation of Zhejiang Province
- Science and Technology Program of Zhejiang Province