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Connection

Duane Smoot to Bacterial Proteins

This is a "connection" page, showing publications Duane Smoot has written about Bacterial Proteins.
Connection Strength

0.314
  1. Choi SI, Yoon C, Park MR, Lee D, Kook MC, Lin JX, Kang JH, Ashktorab H, Smoot DT, Yoon SS, Cho SJ. CDX1 Expression Induced by CagA-Expressing Helicobacter pylori Promotes Gastric Tumorigenesis. Mol Cancer Res. 2019 11; 17(11):2169-2183.
    View in: PubMed
    Score: 0.128
  2. Shim JH, Yoon JH, Choi SS, Ashktorab H, Smoot DT, Song KY, Nam SW, Lee JY, Park CH, Park WS. The effect of Helicobacter pylori CagA on the HER-2 copy number and expression in gastric cancer. Gene. 2014 Aug 10; 546(2):288-96.
    View in: PubMed
    Score: 0.089
  3. Yoon JH, Lee YS, Kim O, Ashktorab H, Smoot DT, Nam SW, Park WS. NKX6.3 protects against gastric mucosal atrophy by downregulating ?-amyloid production. World J Gastroenterol. 2019 Jan 21; 25(3):330-345.
    View in: PubMed
    Score: 0.031
  4. Yoon JH, Seo HS, Choi SS, Chae HS, Choi WS, Kim O, Ashktorab H, Smoot DT, Nam SW, Lee JY, Park WS. Gastrokine 1 inhibits the carcinogenic potentials of Helicobacter pylori CagA. Carcinogenesis. 2014 Nov; 35(11):2619-29.
    View in: PubMed
    Score: 0.023
  5. Kim O, Yoon JH, Choi WS, Ashktorab H, Smoot DT, Nam SW, Lee JY, Park WS. GKN2 contributes to the homeostasis of gastric mucosa by inhibiting GKN1 activity. J Cell Physiol. 2014 Jun; 229(6):762-71.
    View in: PubMed
    Score: 0.022
  6. Siavoshi F, Malekzadeh R, Daneshmand M, Smoot DT, Ashktorab H. Association between Helicobacter pylori Infection in gastric cancer, ulcers and gastritis in Iranian patients. Helicobacter. 2004 Oct; 9(5):470.
    View in: PubMed
    Score: 0.011
  7. Marlink KL, Bacon KD, Sheppard BC, Ashktorab H, Smoot DT, Cover TL, Deveney CW, Rutten MJ. Effects of Helicobacter pylori on intracellular Ca2+ signaling in normal human gastric mucous epithelial cells. Am J Physiol Gastrointest Liver Physiol. 2003 Jul; 285(1):G163-76.
    View in: PubMed
    Score: 0.010
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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