Personalized Medicine Innovation
Jin-Ji Yang
Guangdong Provincial People’s Hospital
Jin-Ji Yang is affiliated with Guangdong Provincial People’s Hospital in China and is identified in Scopus under Author ID 57543111300. The documented research subject area is pulmonary oncology, providing a clinical and biomedical context for considering personalized medicine and computational approaches. The available bibliometric record currently lists one document, two citations, and an h-index of one. [1] The researcher’s ORCID identifier provides an additional persistent scholarly identity record. [2]
Abstract
Jin-Ji Yang is a researcher affiliated with Guangdong Provincial People’s Hospital whose documented subject area is pulmonary oncology. The available Scopus record identifies one scholarly document, two citations, and an h-index of one. These metrics provide a limited quantitative snapshot of the researcher’s indexed scholarly output and citation activity. [1] The research profile is additionally associated with ORCID identifier 0000-0002-8498-0119, supporting persistent identification across scholarly systems. [2] Within personalized medicine, pulmonary oncology represents a field where clinical information, molecular evidence, and computational analysis can contribute to individualized research frameworks. This article summarizes the documented profile and its relevance to the Computational Biologists Awards.
Keywords
Personalized Medicine; Pulmonary Oncology; Computational Biology; Biomedical Research; Clinical Informatics; Oncology; Precision Medicine; Guangdong Provincial People’s Hospital; Research Impact; Computational Biologists Awards.
Introduction
Personalized medicine integrates patient-specific biological and clinical information to support more individualized approaches to research and healthcare. Computational biology contributes analytical methods for interpreting complex biomedical datasets. Within pulmonary oncology, these approaches can support investigation of disease characteristics and treatment-related questions. Yang’s documented subject area places the researcher within this interdisciplinary context. [1]
Research Profile
Jin-Ji Yang is affiliated with Guangdong Provincial People’s Hospital in China, with pulmonary oncology identified as the recorded subject area. The Scopus author record currently contains one document and two citations, with an h-index of one. [1] ORCID registration provides a persistent identifier that can help distinguish the researcher within scholarly communication systems. [2]
Research Contributions
The documented research area of pulmonary oncology provides a basis for examining questions at the intersection of oncology, clinical research, and personalized medicine. Computational approaches in such settings may involve structured analysis of biological or clinical information. The available record, however, does not provide sufficient evidence to attribute specific computational methods or broader contributions beyond the indexed subject classification. [1]
Publications
The available Scopus author information records one document for Jin-Ji Yang. [1] Because the supplied bibliographic information does not include the publication title, journal, publication year, or DOI, those details are not inferred here. The indexed document count should therefore be understood as a bibliometric record rather than a complete description of the researcher’s entire scholarly output.
Research Impact
The supplied Scopus metrics report two citations and an h-index of one for the identified author record. [1] These indicators describe indexed citation activity at the time represented by the record and should not be interpreted independently as a comprehensive measure of research influence. Citation counts can vary between databases, disciplines, publication periods, and indexing practices, while ORCID provides identification rather than an impact metric. [2]
Award Suitability
For an award review focused on personalized medicine innovation, the documented affiliation and pulmonary oncology subject area provide relevant professional context. [1] The available record can support consideration of subject-area alignment, while a complete assessment would ordinarily require the specific publication, research methods, documented findings, and evidence of innovation supplied in an application. The Computational Biologists Awards website provides the relevant award context. [3]
Conclusion
Jin-Ji Yang’s documented scholarly profile connects Guangdong Provincial People’s Hospital with pulmonary oncology and a research context relevant to personalized medicine. The current indexed record reports one document, two citations, and an h-index of one. [1] ORCID further establishes a persistent researcher identifier. [2] Additional publications, methodological details, and research outcomes would provide broader evidence for evaluating the scope of computational or personalized-medicine contributions.
External Links
References
- Elsevier. (n.d.). Scopus author details: Jin-Ji Yang, Author ID 57543111300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57543111300
- ORCID. (n.d.). Jin-Ji Yang — ORCID record. ORCID.
https://orcid.org/0000-0002-8498-0119
- Computational Biologists Awards. (2026.) Computational Biologists Awards.
https://computationalbiologists.com/
- Research Article (2021. ) Clinicopathological features and resistance mechanisms in HIP1-ALK-rearranged lung cancer: A multicenter study.
https://doi.org/10.1002/gcc.23005