Aevermann, Brian
Chan Zuckerberg Initiative (United States) · Stanford Medicine · Stanford University
9 papers on CoChatORCID 0000-0003-1346-1327
Most cited papers
- Verified
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature
Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research
Cited by 1,775
- Verified
Comparative cellular analysis of motor cortex in human, marmoset and mouse
Bakken, T. E., Jorstad, N. L., Hu, Q., Lake, B. B., Tian, W., Kalmbach, B. E., Crow, M., Hodge, R. D., Krienen, F. M., Sorensen, S. A., et al. (2021) · Nature
Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research
Cited by 812
- Verified
Evolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse
Bakken, T. E., Jorstad, N. L., Hu, Q., Lake, B. B., Tian, W., Kalmbach, B. E., Crow, M., Hodge, R. D., Krienen, F. M., Sorensen, S. A., et al. (2020) · Nature
Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research
Cited by 809
- Verified
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
Bakken, T. E., Hodge, R. D., Miller, J. A., Yao, Z., Nguyen, T. N., Aevermann, B., Barkan, E., Bertagnolli, D., Casper, T., Dee, N., et al. (2018) · PLoS ONE
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 608
- Verified
Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons
Krishnaswami, S. R., Grindberg, R. V., Novotny, M., Venepally, P., Lacar, B., Bhutani, K., Linker, S. B., Pham, S., Erwin, J. A., Miller, J. A., et al. (2016) · Nature Protocols
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 445
- Verified · note
CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Program, C. C. S., Abdulla, S., Aevermann, B., Assis, P., Badajoz, S., Bell, S. M., Bezzi, E., Cakir, B., Chaffer, J., Chambers, S., et al. (2025) · Nucleic Acids Research
Single-cell and spatial transcriptomicsScientific Computing and Data Management
Cited by 399
- Verified
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
Boldog, E., Bakken, T. E., Hodge, R. D., Novotny, M., Aevermann, B. D., Baka, J., Bordé, S., Close, J. L., Diez-Fuertes, F., Ding, S.-L., et al. (2018) · Nature Neuroscience
Neuroscience and Neuropharmacology ResearchSingle-cell and spatial transcriptomics
Cited by 291
- Verified
CZ CELL×GENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data
Program, C. S.-C. B., Abdulla, S., Aevermann, B., Assis, P., Badajoz, S., Bell, S. M., Bezzi, E., Cakir, B., Chaffer, J., Chambers, S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomicsScientific Computing and Data Management
Cited by 142
- Verified
Cell type discovery and representation in the era of high-content single cell phenotyping
Bakken, T., Cowell, L., Aevermann, B. D., Novotny, M., Hodge, R., Miller, J. A., Lee, A., Chang, I., McCorrison, J., Pulendran, B., et al. (2017) · BMC Bioinformatics
Single-cell and spatial transcriptomicsBiomedical Text Mining and Ontologies
Cited by 55
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