The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Gene expression cartography
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Citations
Cites
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055
Topics in Optimal Transportation
Villani, C. (2003) · Graduate Studies in Mathematics · doi:10.1090/gsm/058 · Cited by 4,412
Mutations affecting segment number and polarity in Drosophila
Nüsslein-Volhard, C., & Wieschaus, E. (1980) · Nature · doi:10.1038/287795a0 · Cited by 4,370
Villani, C. (2009) · Grundlehren der mathematischen Wissenschaften · doi:10.1007/978-3-540-71050-9 · Cited by 3,669
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
Rodriques, S. G., Stickels, R. R., Goeva, A., Martin, C. A., Murray, E., Vanderburg, C. R., Welch, J., Chen, L. M., Chen, F., & Macosko, E. Z. (2019) · Science · doi:10.1126/science.aaw1219 · Cited by 2,424
Sinkhorn Distances: Lightspeed Computation of Optimal TransportPreprint
Cuturi, M. (2013) · Cited by 2,385
The Technology and Biology of Single-Cell RNA Sequencing
Kolodziejczyk, A. A., Kim, J. K., Svensson, V., Marioni, J. C., & Teichmann, S. A. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.04.005 · Cited by 1,487
Cellular Heterogeneity: Do Differences Make a Difference?
Altschuler, S. J., & Wu, L. F. (2010) · Cell · doi:10.1016/j.cell.2010.04.033 · Cited by 1,214
Cited by
Exploring tissue architecture using spatial transcriptomics
Rao, A., Barkley, D., França, G. S., & Yanai, I. (2021) · Nature · doi:10.1038/s41586-021-03634-9 · Cited by 1,700
Museum of spatial transcriptomics
Moses, L., & Pachter, L. (2022) · Nature Methods · doi:10.1038/s41592-022-01409-2 · Cited by 1,255
Museum of Spatial Transcriptomics
Moses, L., & Pachter, L. (2021) · doi:10.1101/2021.05.11.443152 · Cited by 1,255
Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Longo, S. K., Guo, M. G., Ji, A. L., & Khavari, P. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00370-8 · Cited by 1,059
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
Biancalani, T., Scalia, G., Buffoni, L., Avasthi, R., Lu, Z., Sanger, A., Tokcan, N., Vanderburg, C. R., Segerstolpe, Å., Zhang, M., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01264-7 · Cited by 931
Self-citation
Metadata
- Authors
- Nitzan, M., Karaiskos, N., Friedman, N., & Rajewsky, N.
- Venue
- Nature
- Published
- 2019-11-20
- Volume
- 576
- Issue
- 7785
- Pages
- 132-137
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2990145226
- Cited by
- 284
- References
- 26
- FWCI
- 10.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Gene expression cartography. https://app.cochat.ai/papers/10.1038/s41586-019-1773-3
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- Nitzan, M., Karaiskos, N., Friedman, N., & Rajewsky, N. (2019). Gene expression cartography. Nature. https://doi.org/10.1038/s41586-019-1773-3
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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.
