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Connection

Ravi Salgia to Enzyme Inhibitors

This is a "connection" page, showing publications Ravi Salgia has written about Enzyme Inhibitors.
Connection Strength

1.486
  1. Non-receptor tyrosine kinase inhibitors in lung cancer. Anticancer Agents Med Chem. 2007 Nov; 7(6):633-42.
    View in: PubMed
    Score: 0.248
  2. A review of topoisomerase inhibition in lung cancer. Cancer Biol Ther. 2006 Dec; 5(12):1600-7.
    View in: PubMed
    Score: 0.234
  3. Novel therapies in lung cancer. Hematol Oncol Clin North Am. 2005 Apr; 19(2):343-67, vii.
    View in: PubMed
    Score: 0.208
  4. Therapeutic targeting of the receptor tyrosine kinase Met. Cancer Treat Res. 2004; 119:121-38.
    View in: PubMed
    Score: 0.190
  5. Growth inhibition and modulation of kinase pathways of small cell lung cancer cell lines by the novel tyrosine kinase inhibitor STI 571. Oncogene. 2000 Jul 20; 19(31):3521-8.
    View in: PubMed
    Score: 0.150
  6. Targeting FTO Suppresses Cancer Stem Cell Maintenance and Immune Evasion. Cancer Cell. 2020 07 13; 38(1):79-96.e11.
    View in: PubMed
    Score: 0.149
  7. Ethnic differences and functional analysis of MET mutations in lung cancer. Clin Cancer Res. 2009 Sep 15; 15(18):5714-23.
    View in: PubMed
    Score: 0.070
  8. Epidermal growth factor receptor mutations and susceptibility to targeted therapy in lung cancer. Respirology. 2006 Nov; 11(6):687-92.
    View in: PubMed
    Score: 0.058
  9. Targeting c-Kit mutations: basic science to novel therapies. Leuk Res. 2004 May; 28 Suppl 1:S11-20.
    View in: PubMed
    Score: 0.049
  10. Role of receptor tyrosine kinases in lung cancer. Methods Mol Med. 2003; 74:113-25.
    View in: PubMed
    Score: 0.044
  11. Activated c-Met signals through PI3K with dramatic effects on cytoskeletal functions in small cell lung cancer. J Cell Mol Med. 2002 Oct-Dec; 6(4):539-53.
    View in: PubMed
    Score: 0.044
  12. Modulation of the c-Met/hepatocyte growth factor pathway in small cell lung cancer. Clin Cancer Res. 2002 Feb; 8(2):620-7.
    View in: PubMed
    Score: 0.042
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.