Jian, Ruiqi
Stanford Medicine · Stanford University
6 papers on CoChatORCID 0000-0003-2406-5303
Most cited papers
- Verified
A Quantitative Proteome Map of the Human Body
Jiang, L., Wang, M., Lin, S., Jian, R., Li, X., Chan, J., Dong, G., Fang, H., Robinson, A. E., Aguet, F., et al. (2020) · Cell
Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks
Cited by 458
- Verified
A genome-wide atlas of co-essential modules assigns function to uncharacterized genes
Wainberg, M., Kamber, R. A., Balsubramani, A., Meyers, R. M., Sinnott-Armstrong, N., Hornburg, D., Jiang, L., Chan, J., Jian, R., Gu, M., et al. (2021) · Nature Genetics
Bioinformatics and Genomic NetworksGene Regulatory Network Analysis
Cited by 204
- Verified
A genome-wide almanac of co-essential modules assigns function to uncharacterized genes
Wainberg, M., Kamber, R. A., Balsubramani, A., Meyers, R. M., Sinnott-Armstrong, N., Hornburg, D., Jiang, L., Chan, J., Jian, R., Gu, M., et al. (2019) · Nature Genetics
Bioinformatics and Genomic NetworksGene Regulatory Network Analysis
Cited by 204
- Verified
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 69
- Verified
Single-cell proteomic landscape of the developing human brain
Wu, T., Jiang, L., Mukhtar, T., Wang, L., Jian, R., Wang, C., Trinh, T., Kriegstein, A. R., Snyder, M., & Li, J. (2026) · Nature Biotechnology
Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics
Cited by 23
- Verified
Single Cell Proteomics in the Developing Human Brain
Wu, T., Jiang, L., Mukhtar, T., Wang, L., Jian, R., Wang, C., Trinh, T., Kriegstein, A. R., Snyder, M., & Li, J. (2025) · Nature Biotechnology
Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomics
Cited by 23
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