Technology in Cancer Research & Treatment

Papers
(The H4-Index of Technology in Cancer Research & Treatment is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Hypoxia and the Tumor Microenvironment105
LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification28
Silencing lncRNA SLC16A1-AS1 Induced Ferroptosis in Renal Cell Carcinoma Through miR-143-3p/SLC7A11 Signaling27
Diagnostic and Therapeutic Potential of Extracellular Vesicles25
Serum Exosomal lncRNA DLX6-AS1 Is a Promising Biomarker for Prognosis Prediction of Cervical Cancer25
Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer24
Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images24
STEAP3 Affects Ferroptosis and Progression of Renal Cell Carcinoma Through the p53/xCT Pathway22
A Retrospective Study on Therapeutic Efficacy of Transarterial Chemoembolization Combined With Immune Checkpoint Inhibitors Plus Lenvatinib in Patients With Unresectable Hepatocellular Carcinoma20
Fluorescence-Guided Surgery for High-Grade Gliomas: State of the Art and New Perspectives19
Prognostic Value of Platelet-to-Lymphocyte Ratio, Neutrophil-to-Lymphocyte Ratio, and Lymphocyte-to-White Blood Cell Ratio in Colorectal Cancer Patients Who Received Neoadjuvant Chemotherapy18
MiR-495 Inhibits Cisplatin Resistance and Angiogenesis in Esophageal Cancer by Targeting ATP7A17
Nanobody Conjugates for Targeted Cancer Therapy and Imaging17
Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study16
LINC01094 Predicts Poor Prognosis in Patients With Gastric Cancer and is Correlated With EMT and Macrophage Infiltration16
Identification of Circ_001569 as a Potential Biomarker in the Diagnosis and Prognosis of Pancreatic Cancer16
Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach16
Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis16
Identification of Novel Biomarkers Associated With the Prognosis and Potential Pathogenesis of Breast Cancer via Integrated Bioinformatics Analysis16
Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data16
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