Author

Qinglin Li

Hunan University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Ailing Zou· 1 shared Amalia PapanikolaouiD· 1 shared Bing XiaiD· 1 shared Bo YangiD· 1 shared Boxin LiuiD· 1 shared Boyu WangiD· 1 shared Caiming WuiD· 1 shared Da Wang· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperCancer Biology

Ailing Zou

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

Taoyu Zhu, Yaping Xu, Junming Li, Zijin Wang, Zhenting Zhang, Boyu Wang, Mingyang Xiao, Boxin Liu, Manyu Xiao, Huiran Wang, Xinyi Xu, Ran Ji, Bo Yang, Songsong Li, Zuolin Shen, , Jian Liu

This study identifies a polyclonal-to-monoclonal evolutionary trajectory in lung squamous cell carcinoma using genomic and transcriptomic data, with implications for precision therapeutics.

bioRxiv · Mar 31, 2026 · PreprintGenomics

FASN Inactivation-induced Progranulin (GRN) Expression Promotes Lysosome-dependent Cell Death to Suppress Leukemogenesis

Meng Su, Qinglin Li, Zhiyi Lv, Xinshu Xie, Yating Lu, Yaohui He, Hanqi Liu, Hui Cao, Jie Ouyang, Qiao Zhang, Xuezhen Ma, Yexin Yang, Ailing Zou, Kang Liu (423471), Shuqian Xu, , Yang Mei

This study shows that inhibiting FASN leads to lysosome-dependent cell death via GRN expression, suppressing leukemogenesis in myeloid leukemia.

Cell Reports · Mar 1, 2026Peer-reviewedCancer Biology

Measuring single neuron visual receptive field sizes by fMRI

Georgios A. Keliris, Qinglin Li, Amalia Papanikolaou, Nikos K. Logothetis, Stelios M. Smirnakis

This paper introduces a method to estimate single-neuron visual receptive field sizes in humans using fMRI, finding smaller sizes compared to population-based estimates.

Proceedings of the National Academy of Sciences · Mar 13, 2019Peer-reviewedNeuroscience