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Connection

Anthony Atala to Models, Biological

This is a "connection" page, showing publications Anthony Atala has written about Models, Biological.
Connection Strength

1.185
  1. Nzou G, Wicks RT, VanOstrand NR, Mekky GA, Seale SA, El-Taibany A, Wicks EE, Nechtman CM, Marrotte EJ, Makani VS, Murphy SV, Seeds MC, Jackson JD, Atala AJ. Multicellular 3D Neurovascular Unit Model for Assessing Hypoxia and Neuroinflammation Induced Blood-Brain Barrier Dysfunction. Sci Rep. 2020 06 17; 10(1):9766.
    View in: PubMed
    Score: 0.635
  2. Sokolova V, Mekky G, van der Meer SB, Seeds MC, Atala AJ, Epple M. Transport of ultrasmall gold nanoparticles (2 nm) across the blood-brain barrier in a six-cell brain spheroid model. Sci Rep. 2020 10 22; 10(1):18033.
    View in: PubMed
    Score: 0.163
  3. Skardal A, Shupe T, Atala A. Organoid-on-a-chip and body-on-a-chip systems for drug screening and disease modeling. Drug Discov Today. 2016 09; 21(9):1399-1411.
    View in: PubMed
    Score: 0.121
  4. Skardal A, Devarasetty M, Forsythe S, Atala A, Soker S. A reductionist metastasis-on-a-chip platform for in vitro tumor progression modeling and drug screening. Biotechnol Bioeng. 2016 09; 113(9):2020-32.
    View in: PubMed
    Score: 0.118
  5. Atala A. Advances in tissue and organ replacement. Curr Stem Cell Res Ther. 2008 Jan; 3(1):21-31.
    View in: PubMed
    Score: 0.067
  6. Atala A, Koh CJ. Tissue engineering applications of therapeutic cloning. Annu Rev Biomed Eng. 2004; 6:27-40.
    View in: PubMed
    Score: 0.051
  7. Zhang YS, Aleman J, Shin SR, Kilic T, Kim D, Mousavi Shaegh SA, Massa S, Riahi R, Chae S, Hu N, Avci H, Zhang W, Silvestri A, Sanati Nezhad A, Manbohi A, De Ferrari F, Polini A, Calzone G, Shaikh N, Alerasool P, Budina E, Kang J, Bhise N, Ribas J, Pourmand A, Skardal A, Shupe T, Bishop CE, Dokmeci MR, Atala A, Khademhosseini A. Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors. Proc Natl Acad Sci U S A. 2017 03 21; 114(12):E2293-E2302.
    View in: PubMed
    Score: 0.032
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.