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Institution

Tongji University

EducationShanghai, China
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.


Papers
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Journal ArticleDOI
Xiao Wang1, Fei Pan1, Zhen Xiang1, Qingwen Zeng2, Ke Pei2, Renchao Che2, Wei Lu1 
01 Feb 2020-Carbon
TL;DR: In this paper, magnetic vortex core-shell Fe3O4@C nanorings (FNR-C) with excellent microwave absorption property have been successfully prepared by a facile strategy.

295 citations

Journal ArticleDOI
TL;DR: The addition to bevacizumab to carboplatin/paclitaxel was well tolerated and resulted in a clinically meaningful treatment benefit in Chinese patients with advanced nonsquamous NSCLC.
Abstract: Purpose The phase III BEYOND trial was undertaken to confirm in a Chinese patient population the efficacy seen with first-line bevacizumab plus platinum doublet chemotherapy in globally conducted studies. Patients and Methods Patients age ≥ 18 years with locally advanced, metastatic, or recurrent advanced nonsquamous non–small-cell lung cancer (NSCLC) were randomly assigned to receive carboplatin (area under the curve, 6) intravenously and paclitaxel (175 mg/m2) intravenously (CP) on day 1 of each 3-week cycle, for ≤ six cycles, plus placebo (Pl+CP) or bevacizumab (B+CP) 15 mg/kg intravenously, on day 1 of each cycle, until progression, unacceptable toxicity, or death. The primary end point was progression-free survival (PFS); secondary end points were objective response rate, overall survival, exploratory biomarkers, safety. Results A total of 276 patients were randomly assigned, 138 to each arm. PFS was prolonged with B+CP versus Pl+CP (median, 9.2 v 6.5 months, respectively; hazard ratio [HR], 0.40; 95...

294 citations

Journal ArticleDOI
TL;DR: DeepCRISPR is presented, a comprehensive computational platform to unify sgRNA on-target and off-target site prediction into one framework with deep learning, surpassing available state-of-the-art in silico tools.
Abstract: A major challenge for effective application of CRISPR systems is to accurately predict the single guide RNA (sgRNA) on-target knockout efficacy and off-target profile, which would facilitate the optimized design of sgRNAs with high sensitivity and specificity. Here we present DeepCRISPR, a comprehensive computational platform to unify sgRNA on-target and off-target site prediction into one framework with deep learning, surpassing available state-of-the-art in silico tools. In addition, DeepCRISPR fully automates the identification of sequence and epigenetic features that may affect sgRNA knockout efficacy in a data-driven manner. DeepCRISPR is available at http://www.deepcrispr.net/ .

294 citations

Journal ArticleDOI
TL;DR: It is demonstrated that nanoscale zero-valent iron (nZVI) is an ideal reagent for removing heavy metals from wastewater and provides proof that nanomaterials can offer truly green and cost-effective solutions for wastewater treatment.

294 citations

Journal ArticleDOI
TL;DR: Wound dressings composed of borate bioactive glass microfibers doped with Cu showed a significantly better capacity to stimulate angiogenesis than the undoped fibers and the untreated defects at 7 and 14 days post-surgery, and provided valuable data for understanding the role of the microfiber in healing soft tissue wounds.

294 citations


Authors

Showing all 76610 results

NameH-indexPapersCitations
Gang Chen1673372149819
Yang Yang1642704144071
Georgios B. Giannakis137132173517
Jian Li133286387131
Jianlin Shi12785954862
Zhenyu Zhang118116764887
Ju Li10962346004
Peng Wang108167254529
Qian Wang108214865557
Yan Zhang107241057758
Richard B. Kaner10655766862
Han-Qing Yu10571839735
Wei Zhang104291164923
Fabio Marchesoni10460774687
Feng Li10499560692
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023238
20221,051
20219,713
20208,502
20197,517
20186,352