Samusik, Nikolay
Stanford Medicine · Stanford University
6 papers on CoChatORCID 0000-0002-3559-1010
Most cited papers
- Verified
Three-dimensional intact-tissue sequencing of single-cell transcriptional states
Wang, X., Allen, W. E., Wright, M. A., Sylwestrak, E. L., Samusik, N., Vesuna, S., Evans, K., Liu, C., Ramakrishnan, C., Liu, J., et al. (2018) · Science
Single-cell and spatial transcriptomicsMolecular Biology Techniques and Applications
Cited by 1,620
- Verified
Deep profiling of mouse splenic architecture with CODEX multiplexed imaging
Goltsev, Y., Samusik, N., Kennedy-Darling, J., Bhate, S., Hale, M., Vazquez, G., Black, S., & Nolan, G. P. (2018) · Cell
Single-cell and spatial transcriptomicsCell Image Analysis Techniques
Cited by 1,501
- Verified
Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models
Ajami, B., Samusik, N., Wieghofer, P., Ho, P. P., Crotti, A., Bjornson, Z., Prinz, M., Fantl, W. J., Nolan, G. P., & Steinman, L. (2018) · Nature Neuroscience
Neuroinflammation and Neurodegeneration MechanismsMultiple Sclerosis Research Studies
Cited by 338
- Verified
Transcriptomes of germinal zones of human and mouse fetal neocortex suggest a role of extracellular matrix in progenitor self-renewal
Fietz, S. A., Lachmann, R., Brandl, H., Kircher, M., Samusik, N., Schröder, R., Lakshmanaperumal, N., Henry, I., Vogt, J., Riehn, A., et al. (2012) · Proceedings of the National Academy of Sciences
Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation
Cited by 337
- Verified
High-resolution myogenic lineage mapping by single-cell mass cytometry
Porpiglia, E., Samusik, N., Ho, A. T. V., Cosgrove, B. D., Mai, T., Davis, K. L., Jager, A., Nolan, G. P., Bendall, S. C., Fantl, W. J., et al. (2017) · Nature Cell Biology
Muscle Physiology and DisordersCongenital heart defects research
Cited by 128
- Verified
Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA
Zhang, W., Li, I., Reticker-Flynn, N. E., Good, Z., Chang, S., Samusik, N., Saumyaa, S., Li, Y., Zhou, X., Liang, R., et al. (2022) · Nature Methods
Single-cell and spatial transcriptomicsCell Image Analysis Techniques
Cited by 108
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free