Connection

RU CHEN to Proteome

This is a "connection" page, showing publications RU CHEN has written about Proteome.
Connection Strength

2.483
  1. Proteome alterations in pancreatic ductal adenocarcinoma. Cancer Lett. 2020 01 28; 469:429-436.
    View in: PubMed
    Score: 0.582
  2. Proteomics analysis of bodily fluids in pancreatic cancer. Proteomics. 2015 Aug; 15(15):2705-15.
    View in: PubMed
    Score: 0.425
  3. Tissue proteomics in pancreatic cancer study: discovery, emerging technologies, and challenges. Proteomics. 2013 Feb; 13(3-4):710-21.
    View in: PubMed
    Score: 0.362
  4. Quantitative proteomics analysis reveals that proteins differentially expressed in chronic pancreatitis are also frequently involved in pancreatic cancer. Mol Cell Proteomics. 2007 Aug; 6(8):1331-42.
    View in: PubMed
    Score: 0.245
  5. Quantitative proteomic profiling of pancreatic cancer juice. Proteomics. 2006 Jul; 6(13):3871-9.
    View in: PubMed
    Score: 0.230
  6. Pancreatic cancer proteome: the proteins that underlie invasion, metastasis, and immunologic escape. Gastroenterology. 2005 Oct; 129(4):1187-97.
    View in: PubMed
    Score: 0.219
  7. Proteomic Investigation of Glyceraldehyde-Derived Intracellular AGEs and Their Potential Influence on Pancreatic Ductal Cells. Cells. 2021 04 24; 10(5).
    View in: PubMed
    Score: 0.161
  8. Metaproteomics Study of the Gut Microbiome. Methods Mol Biol. 2019; 1871:123-132.
    View in: PubMed
    Score: 0.137
  9. Quantitative proteomics investigation of pancreatic intraepithelial neoplasia. Electrophoresis. 2009 Apr; 30(7):1132-44.
    View in: PubMed
    Score: 0.070
  10. Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MS. Cell Rep. 2018 05 29; 23(9):2819-2831.e5.
    View in: PubMed
    Score: 0.033
  11. Mass spectrometry based glycoproteomics--from a proteomics perspective. Mol Cell Proteomics. 2011 Jan; 10(1):R110.003251.
    View in: PubMed
    Score: 0.019
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.