Best Researcher Award
Quankun Lv | The Sixth Affiliated Hospital, School of Medicine, South China University of Technology | China
Quankun Lv is a researcher affiliated with The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, China. The researcher’s scholarly record includes publications in critical care prediction and cancer research. These publications provide identifiable evidence of research activity in healthcare-related fields. This profile summarises the available identifying information and selected research outputs while distinguishing documented publication records from award-related claims. The ORCID identifier provides a persistent link for checking the researcher’s scholarly identity and associated publications. [1] [5] [6]
Abstract
This article presents a research profile for Quankun Lv, whose published work identifies an affiliation with The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, China. The available publisher and bibliographic records identify research contributions involving prognostic modelling in intensive care and mechanisms of chemoresistance in lung adenocarcinoma. These publications provide a basis for documenting the researcher’s scholarly activity in healthcare and medical research. Publication details can be checked through the journal publisher and PubMed records. No specific award outcome, citation count, or h-index is asserted here without independent evidence. [1] [5] [6]
Keywords
- Quankun Lv
- Health Professions
- Critical care research
- Prognostic modelling
- Cancer research
- Lung adenocarcinoma
- Academic publications
- Research assessment
Introduction
Researcher profiles help readers identify scholarly publications, institutional affiliations, and contributions to a particular field. In medical and health-related disciplines, the assessment of research requires consideration of study design, methodological quality, reproducibility, clinical relevance, and the accuracy of publication attribution. An individual’s research record should be established through authoritative journal pages and bibliographic databases rather than inferred solely from an institutional affiliation or a name match. [2] [3]
Research Profile
The available publisher and PubMed records identify Quankun Lv as an author affiliated with The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, in Foshan, Guangdong, China. The indexed records associate the author with work on intensive care prognostic prediction and lung adenocarcinoma research. These subject areas indicate participation in medical research, but they should not be treated as a complete description of the researcher’s expertise or professional responsibilities. The linked ORCID record provides an additional means of checking the author’s scholarly identity. [1] [5] [6]
Research Contributions
One identifiable publication examines whether an apparent transition to persistent critical illness remains consistent when clinical states are updated daily across two intensive care databases. The study evaluates prognostic modelling and compares findings across datasets. Another publication investigates the relationship between cancer-associated fibroblasts and chemotherapy resistance in lung adenocarcinoma, identifying a proposed PLAU-positive fibroblast signalling pathway associated with reduced drug sensitivity. Together, these publications cover distinct clinical research questions and demonstrate contributions to collaborative medical research. The conclusions and author details should be interpreted using the original articles. [5] [6]
Publications
The following publications have identifiable bibliographic records that list Quankun Lv among the authors. The first is indexed by PubMed and has a DOI record. The second is published in Cancer Research and has an official publisher page. Author order, article metadata, and publication status should be checked against the linked records before the details are reused in formal academic documents. [5] [6]
Research Impact
Research impact can be assessed through several dimensions, including scholarly citations, methodological influence, relevance to clinical practice, and the use of findings by other researchers. Citation counts and other bibliometric indicators may help describe the visibility of a publication, but they cannot independently establish the quality or practical value of the underlying research. Responsible assessment should consider the scientific content of the work alongside relevant quantitative and qualitative evidence. [2] [3]
Award Suitability
The supplied award programme is the International Research Excellence and Best Paper Awards. Its website describes recognition associated with research publications and scholarly contributions. However, the existence of publications does not establish that a researcher has won an award or been formally selected as a laureate. Any assessment of Quankun Lv’s eligibility or suitability should be based on the programme’s current criteria, the nominated publication, the applicant’s contribution, and the authenticity of the supporting documents. No award result is claimed by this profile. [4]
Conclusion
The available bibliographic records provide a basis for documenting Quankun Lv’s research activity in healthcare, including work on intensive care prognostic prediction and lung adenocarcinoma chemoresistance. The linked ORCID record, PubMed entry, and journal publisher page offer verifiable starting points for confirming identity and publication details. Further assessment of research impact or award suitability should rely on documented evidence, transparent criteria, and the official award programme’s published information. [1] [5] [6]
External Links
References
- ORCID. (n.d.). Quankun Lv — ORCID researcher record. The persistent researcher identifier and associated record can be consulted to verify scholarly identity and linked works.
https://orcid.org/0009-0000-6110-0855
- San Francisco Declaration on Research Assessment (DORA). (n.d.). Read the Declaration. Recommendations on assessing research based on scientific content and a broad range of research outputs rather than relying solely on journal-level metrics.
https://sfdora.org/read/
- San Francisco Declaration on Research Assessment (DORA). (n.d.). Frequently Asked Questions. Background on research assessment and the importance of considering research quality, value, relevance, and diverse contributions.
https://sfdora.org/faq/
- International Research Excellence and Best Paper Awards. (n.d.). Official award website. Consult the programme’s official website for its published event information, categories, criteria, and nomination process. This reference does not independently establish that the researcher named in this profile received an award.
https://bestpaperawards.com/
- Wu, G., Lv, Q., Ye, Y., Yang, Q., Wu, Y., Huo, J., Yang, B., Quan, Z., Huang, Z., Cai, Y., & Guan, Z. (2026). Assessing the consistency of a prognostic transition to persistent critical illness across two U.S. ICU databases: a daily risk-set analysis. International Journal of Medical Informatics, 223, Article 106759. DOI: 10.1016/j.ijmedinf.2026.106759. PubMed record.
https://pubmed.ncbi.nlm.nih.gov/42854465/
- Li, S., Zhang, Z., Lv, Q., Cao, Y., Song, C., Liang, J., Qi, Y.-F., Duan, Z., Wang, Y., & Chen, Y.-G. (2026). A paired tumor organoid-stroma biobank reveals PLAU⁺ fibroblasts as drivers of chemoresistance in lung adenocarcinoma. Cancer Research. DOI: 10.1158/0008-5472.CAN-26-1323. Official journal publisher record.
https://doi.org/10.1158/0008-5472.CAN-26-1323