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H Hu

First name:
H
Last name:
Hu
Hu, H., Li, J., Delatte, T., Vervoort, J., Gao, L., Verstappen, F., et al. (2018). Modification of chrysanthemum odour and taste with chrysanthemol synthase induces strong dual resistance against cotton aphids. Plant Biotechnology Journal. https://doi.org/10.1111/pbi.12885 (Original work published 2018)
Liu, Y., Liu, Q., Li, P., Xing, D., Hu, H., Li, L., et al. (2018). Plants traditionally used to make Cantonese slow-cooked soup in China. Journal Of Ethnobiology And Ethnomedicine, 14(1), 4. https://doi.org/10.1186/s13002-018-0206-y (Original work published 2018)
Yuan, Y., Lee, H., Hu, H., Scheben, A., & Edwards, D. (2018). Single-Cell Genomic Analysis in Plants. Genes, 9(1). https://doi.org/10.3390/genes9010050 (Original work published 2018)
Chen, J., Wang, K., Long, H., Han, X., Hu, H., Liu, W., et al. (2018). Tungsten disulfide-gold nanohole hybrid metasurfaces for nonlinear metalens in the visible region. Nano Letters. https://doi.org/10.1021/acs.nanolett.7b05033 (Original work published 2018)
Gieseking, R. L., Ensley, T. R., Hu, H., Hagan, D. J., Risko, C., Van Stryland, E. W., & Brédas, J. L. (2015). Nonlinear Optical Properties of X(C6H5)4 (X = B(-), C, N(+), P(+)): A New Class of Molecules with a Negative Third-Order Polarizability. Journal Of The American Chemical Society, 137(30), 9635-42. https://doi.org/10.1021/jacs.5b04377 (Original work published 2015)
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Arozena, A., et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy, 12(1), 1-222. https://doi.org/10.1080/15548627.2015.1100356 (Original work published 2016)
Niyogi, S., Hu, H., Hamon, M. A., Bhowmik, P., Zhao, B., Rozenzhak, S. M., et al. (2001). Chromatographic purification of soluble single-walled carbon nanotubes (s-SWNTS). Journal Of The American Chemical Society, 123(4), 733-4. https://doi.org/10.1021/ja0024439 (Original work published 2001)
Ghasemi, M., Balar, N., Peng, Z., Hu, H., Qin, Y., Kim, T., et al. (2021). A molecular interaction-diffusion framework for predicting organic solar cell stability. Nature Materials, 20(4), 525-532. https://doi.org/10.1038/s41563-020-00872-6