Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Ken Kageyama and Mizue Terai.
Connection Strength

0.755
  1. Terai M, Kageyama K, Sugase T, Lam BQ, Alexeev V, Sato T. Orthotopic Human Metastatic Uveal Melanoma Xenograft Mouse Models: Applications for Understanding the Pathophysiology and Therapeutic Management of Metastatic Uveal Melanoma. Curr Protoc. 2021 Apr; 1(4):e110.
    View in: PubMed
    Score: 0.234
  2. Kageyama K, Ohara M, Saito K, Ozaki S, Terai M, Mastrangelo MJ, Fortina P, Aplin AE, Sato T. Establishment of an orthotopic patient-derived xenograft mouse model using uveal melanoma hepatic metastasis. J Transl Med. 2017 Jun 23; 15(1):145.
    View in: PubMed
    Score: 0.180
  3. Terai M, Mu Z, Eschelman DJ, Gonsalves CF, Kageyama K, Chervoneva I, Orloff M, Weight R, Mastrangelo MJ, Cristofanilli M, Sato T. Arterial Blood, Rather Than Venous Blood, is a Better Source for Circulating Melanoma Cells. EBioMedicine. 2015 Nov; 2(11):1821-6.
    View in: PubMed
    Score: 0.160
  4. Ohara M, Saito K, Kageyama K, Terai M, Cheng H, Aplin AE, Sato T. Dual Targeting of CDK4/6 and cMET in Metastatic Uveal Melanoma. Cancers (Basel). 2021 Mar 04; 13(5).
    View in: PubMed
    Score: 0.058
  5. Cheng H, Chua V, Liao C, Purwin TJ, Terai M, Kageyama K, Davies MA, Sato T, Aplin AE. Co-targeting HGF/cMET Signaling with MEK Inhibitors in Metastatic Uveal Melanoma. Mol Cancer Ther. 2017 Mar; 16(3):516-528.
    View in: PubMed
    Score: 0.044
  6. Ozaki S, Vuyyuru R, Kageyama K, Terai M, Ohara M, Cheng H, Manser T, Mastrangelo MJ, Aplin AE, Sato T. Establishment and Characterization of Orthotopic Mouse Models for Human Uveal Melanoma Hepatic Colonization. Am J Pathol. 2016 Jan; 186(1):43-56.
    View in: PubMed
    Score: 0.040
  7. Cheng H, Terai M, Kageyama K, Ozaki S, McCue PA, Sato T, Aplin AE. Paracrine Effect of NRG1 and HGF Drives Resistance to MEK Inhibitors in Metastatic Uveal Melanoma. Cancer Res. 2015 Jul 1; 75(13):2737-48.
    View in: PubMed
    Score: 0.039
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.