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Connection

Paul Wang to Xenograft Model Antitumor Assays

This is a "connection" page, showing publications Paul Wang has written about Xenograft Model Antitumor Assays.
Connection Strength

0.590
  1. Korotcov AV, Ye Y, Chen Y, Zhang F, Huang S, Lin S, Sridhar R, Achilefu S, Wang PC. Glucosamine-linked near-infrared fluorescent probes for imaging of solid tumor xenografts. Mol Imaging Biol. 2012 Aug; 14(4):443-51.
    View in: PubMed
    Score: 0.393
  2. Shan L, Wang S, Sridhar R, Bhujwalla ZM, Wang PC. Dual probe with fluorescent and magnetic properties for imaging solid tumor xenografts. Mol Imaging. 2007 Mar-Apr; 6(2):85-95.
    View in: PubMed
    Score: 0.068
  3. Wen Y, Zhang W, Gong N, Wang YF, Guo HB, Guo W, Wang PC, Liang XJ. Carrier-free, self-assembled pure drug nanorods composed of 10-hydroxycamptothecin and chlorin e6 for combinatorial chemo-photodynamic antitumor therapy in vivo. Nanoscale. 2017 Oct 05; 9(38):14347-14356.
    View in: PubMed
    Score: 0.035
  4. Zhang J, Li S, An FF, Liu J, Jin S, Zhang JC, Wang PC, Zhang X, Lee CS, Liang XJ. Self-carried curcumin nanoparticles for in vitro and in vivo cancer therapy with real-time monitoring of drug release. Nanoscale. 2015 Aug 28; 7(32):13503-10.
    View in: PubMed
    Score: 0.030
  5. Meng J, Liu Y, Gao S, Lin S, Gu X, Pomper MG, Wang PC, Shan L. A bivalent recombinant immunotoxin with high potency against tumors with EGFR and EGFRvIII expression. Cancer Biol Ther. 2015; 16(12):1764-74.
    View in: PubMed
    Score: 0.029
  6. Yin JJ, Lao F, Meng J, Fu PP, Zhao Y, Xing G, Gao X, Sun B, Wang PC, Chen C, Liang XJ. Inhibition of tumor growth by endohedral metallofullerenol nanoparticles optimized as reactive oxygen species scavenger. Mol Pharmacol. 2008 Oct; 74(4):1132-40.
    View in: PubMed
    Score: 0.019
  7. Pirollo KF, Dagata J, Wang P, Freedman M, Vladar A, Fricke S, Ileva L, Zhou Q, Chang EH. A tumor-targeted nanodelivery system to improve early MRI detection of cancer. Mol Imaging. 2006 Jan-Mar; 5(1):41-52.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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