Chen Gao

Chen Gao

Research assistant

Member of:


    Publication year:
    1. 2023
    2. Published

      Tracing the opposing assimilate and nutrient flows in live conifer needles

      Gao, Chen, Marker, S. J. V., Gundlach, C., Poulsen, H. F., Bohr, T. & Schulz, Alexander, 2023, In: Journal of Experimental Botany. 74, 21, p. 6677-6691

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. 2022
    4. Published

      Arabidopsis plants engineered for high root sugar secretion enhance the diversity of soil microorganisms

      Song, M., Zhang, X., Yang, J., Gao, Chen, Wei, Y., Chen, S. & Liesche, J., 2022, In: Biotechnology Journal. 17, 11, 13 p., 2100638.

      Research output: Contribution to journalJournal articleResearchpeer-review

    5. Published

      Evidence for conifer sucrose transporters’ functioning in the light-dependent adjustment of sugar allocation

      Han, X., Gao, Chen, Liang, B., Cui, J., Xu, Q., Schulz, Alexander & Liesche, J., 2022, In: Tree Physiology. 42, 3, p. 488-500

      Research output: Contribution to journalJournal articleResearchpeer-review

    6. Published

      Multimodal Imaging and Functional Anatomy of Vascular Flows in Conifer Needles

      Gao, Chen, 2022, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen. 125 p.

      Research output: Book/ReportPh.D. thesisResearch

    7. Published

      Tracing 3D apoplasmic complexity in vascular tissue of live conifer needles by X-ray computed tomography

      Gao, Chen, Marker, S. J. V., Gundlach, C., Poulsen, H. F., Bohr, T. & Schulz, Alexander, 2022, bioRxiv, 29 p.

      Research output: Working paperPreprintResearch

    8. 2021
    9. Published

      The mechanism of sugar export from long conifer needles

      Liesche, J., Vincent, C., Han, X., Zwieniecki, M., Schulz, Alexander, Gao, Chen, Bravard, R., Marker, S. & Bohr, T., 2021, In: New Phytologist. 230, 5, p. 1911-1924

      Research output: Contribution to journalJournal articleResearchpeer-review

    ID: 229426557