The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Tracing the temporal-spatial transcriptome landscapes of the human fetal digestive tract using single-cell RNA-sequencing
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Citations
Cites
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
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Spatial reconstruction of single-cell gene expression data
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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944
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A single-cell survey of the small intestinal epithelium
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Cited by
Peng, J., Sun, B.-F., Chen, C.-Y., Zhou, J.-Y., Chen, Y.-S., Chen, H., Liu, L., Huang, D., Jiang, J., Cui, G.-S., et al. (2019) · Cell Research · doi:10.1038/s41422-019-0195-y · Cited by 1,321
Self-citationChallenges in unsupervised clustering of single-cell RNA-seq data
Kiselev, V. Y., Andrews, T. S., & Hemberg, M. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0088-9 · Cited by 1,160
Construction of a human cell landscape at single-cell level
Han, X., Zhou, Z., Fei, L., Sun, H., Wang, R., Chen, Y., Chen, H., Wang, J., Tang, H., Ge, W., et al. (2020) · Nature · doi:10.1038/s41586-020-2157-4 · Cited by 1,087
Self-citationThe Ultimate qPCR Experiment: Producing Publication Quality, Reproducible Data the First Time
Taylor, S. C., Nadeau, K., Abbasi, M., Lachance, C., Nguyen, M., & Fenrich, J. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2018.12.002 · Cited by 830
A human cell atlas of fetal gene expression
Cao, J., O’Day, D. R., Pliner, H. A., Kingsley, P. D., Deng, M., Daza, R. M., Zager, M. A., Aldinger, K. A., Blecher-Gonen, R., Zhang, F., et al. (2020) · Science · doi:10.1126/science.aba7721 · Cited by 764
Metadata
- Authors
- Gao, S., Yan, L., Wang, R., Li, J., Yong, J., Zhou, X., Wei, Y., Wu, X., Wang, X., Fan, X., Yan, J., Zhi, X., Gao, Y., Guo, H., Jin, X., Wang, W., Mao, Y., Wang, F., Wen, L., Fu, W., Ge, H., Qiao, J., & Tang, F.
- Venue
- Nature Cell Biology
- Published
- 2018-05-25
- Volume
- 20
- Issue
- 6
- Pages
- 721-734
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- OpenAlex
- W2803656008
- Cited by
- 213
- References
- 22
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Tracing the temporal-spatial transcriptome landscapes of the human fetal digestive tract using single-cell RNA-sequencing. https://app.cochat.ai/papers/10.1038/s41556-018-0105-4
- The paper
- Gao, S., Yan, L., Wang, R., Li, J., Yong, J., Zhou, X., Wei, Y., Wu, X., Wang, X., Fan, X., Yan, J., Zhi, X., Gao, Y., Guo, H., Jin, X., Wang, W., Mao, Y., Wang, F., Wen, L., . . . Tang, F. (2018). Tracing the temporal-spatial transcriptome landscapes of the human fetal digestive tract using single-cell RNA-sequencing. Nature Cell Biology. https://doi.org/10.1038/s41556-018-0105-4
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
