Jun S. Wei

China Three Gorges University — China

Medicine · Health Sciences

54h-index13.2kcitations453works4.02yr avg
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Research Topics

Neuroblastoma Research and Treatments(131), Sarcoma Diagnosis and Treatment(64), Cancer-related molecular mechanisms research(64), CAR-T cell therapy research(56), Immunotherapy and Immune Responses(55)

Publications453 total

Gonystylones A–E, Antiproliferative 5,6-Dihydro-α-pyrones from the Plant <i>Gonystylus borneensis</i>
Journal of Natural Products·2026
The effect of evidence-based discharge planning on the health outcomes of stroke patients with dysphagia: a prospective cohort study
Frontiers in Neurology·2026Open Access
Figure S2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Supplementary_Methods1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
supplementary table legend1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure S6 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure S4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Supplementary Table S1-S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure 6 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure S5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Figure S1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&amp;E Images: A Report from the Children's Oncology Group
2025Open Access
Maximizing framework titanium content in TS-1 zeolite through a novel boron extraction and titanium incorporation strategy
Molecular Catalysis·2025
The association between neutrophil lymphocyte ratio and perihematomal edema in cerebral hemorrhage: a multicenter retrospective study
Frontiers in Neurology·2025Open Access
Abstract 3777: Development of potent FGFR4-targeted antibody-drug conjugate therapies for rhabdomyosarcoma and other cancers expressing FGFR4
Cancer Research·2025· 1 cited
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Frequent Co-authors

Javed Khan(43), Young Song(19), Xinyu Wen(13), Sivasish Sindiri(12), Jack F. Shern(9), Rajesh Patidar(9), John M. Maris(8), Shile Zhang(8), Daniel Catchpoole(8), Qingrong Chen(7), Stephen M. Hewitt(7), Marielle E. Yohe(7), Frank Westermann(6), Shahab Asgharzadeh(6), Hongling Liao(6), Craig C. Whiteford(6), Robert C. Seeger(5), Laura Hurd(5), Andrew S. Brohl(5), Adam Cheuk(5)