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Jun Ma

Researcher at Harbin Institute of Technology

Publications -  1523
Citations -  58397

Jun Ma is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Nasopharyngeal carcinoma & Medicine. The author has an hindex of 97, co-authored 1338 publications receiving 39643 citations. Previous affiliations of Jun Ma include Shenyang Aerospace University & University of Technology, Sydney.

Papers
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Preparation and characterization of PVDF/TiO2 hybrid membranes with ionic liquid modified nano-TiO2 particles

TL;DR: In this paper, a thermally induced phase separation (TIPS) method was used to synthesize hybrid microfiltration membranes with different contents of ionic liquid modified nano-TiO 2.
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Prognostic factors and failure patterns in non-metastatic nasopharyngeal carcinoma after intensity-modulated radiotherapy.

TL;DR: The key failure pattern for NPC was distant metastasis in the IMRT era and the significant prognostic parameters for local control have also been altered substantially.
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Bio-inspired loose nanofiltration membranes with optimized separation performance for antibiotics removals

TL;DR: In this paper, the effects of fabrication conditions on separation performance of the loose membranes with the bio-coating as the effective selective layer were examined in detail for imitating the industrial separation conditions.
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Circular RNA CRIM1 functions as a ceRNA to promote nasopharyngeal carcinoma metastasis and docetaxel chemoresistance through upregulating FOXQ1

TL;DR: The findings reveal the critical role of circCRIM1 specifically in promoting NPC metastasis and chemoresistance via a ceRNA mechanism and provide an exploitable biomarker and therapeutic target for prognosis and treatment resistance in NPC patients.
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The N staging system in nasopharyngeal carcinoma with radiation therapy oncology group guidelines for lymph node levels based on magnetic resonance imaging.

TL;DR: The proposed N staging system of NPC using RTOG guidelines based on MRI is highly predictive and may provide a more objective method for staging NPCs.