Zhongguo Liang
Guangxi Medical University(CN)South China University of Technology(CN)
Publications by Year
Research Areas
Head and Neck Cancer Studies, Head and Neck Surgical Oncology, Radiomics and Machine Learning in Medical Imaging, Cholangiocarcinoma and Gallbladder Cancer Studies, Lung Cancer Research Studies
Most-Cited Works
- → Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma(2021)94 cited
- → Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma(2019)56 cited
- → A Radiomics Model for Predicting the Response to Bevacizumab in Brain Necrosis after Radiotherapy(2020)52 cited
- → PARP-1 promotes autophagy via the AMPK/mTOR pathway in CNE-2 human nasopharyngeal carcinoma cells following ionizing radiation, while inhibition of autophagy contributes to the radiation sensitization of CNE-2 cells(2015)43 cited
- → A Review: Proteomics in Nasopharyngeal Carcinoma(2015)38 cited
- → Silencing of <em>c-jun</em> decreases cell migration, invasion, and EMT in radioresistant human nasopharyngeal carcinoma cell line CNE-2R(2018)35 cited
- → Advances and Challenges in Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma(2015)33 cited
- → Intensity-modulated radiotherapy for paranasal sinuses and base of skull tumors(2018)29 cited
- → Induction Chemotherapy Followed by Concurrent Chemoradiotherapy Versus Concurrent Chemoradiotherapy with or without Adjuvant Chemotherapy for Locoregionally Advanced Nasopharyngeal Carcinoma: Meta-analysis of 1,096 Patients from 11 Randomized Controlled Trials(2013)29 cited
- → Nomogram Based on Inflammatory Biomarkers and Nutritional Indicators for Predicting Overall Survival in Locoregionally Advanced Nasopharyngeal Carcinoma(2022)28 cited