The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Social network architecture of human immune cells unveiled by quantitative proteomics
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Cites
Gene Ontology: tool for the unification of biology
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WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
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Self-citationGlobal quantification of mammalian gene expression control
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Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
Self-citationFunctions of natural killer cells
Vivier, E., Tomasello, E., Baratin, M., Walzer, T., & Ugolini, S. (2008) · Nature Immunology · doi:10.1038/ni1582 · Cited by 3,943
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334
Self-citationBendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
A draft map of the human proteome
Kim, M.-S., Pinto, S. M., Getnet, D., Nirujogi, R. S., Manda, S. S., Chaerkady, R., Madugundu, A. K., Kelkar, D. S., Isserlin, R., Jain, S., et al. (2014) · Nature · doi:10.1038/nature13302 · Cited by 2,198
The Immunological Genome Project: networks of gene expression in immune cells
The Immunological Genome Project Consortium, Heng, T. S. P., Painter, M. W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S. J., Koller, D., Kim, F. S., Wagers, A. J., et al. (2008) · Nature Immunology · doi:10.1038/ni1008-1091 · Cited by 1,864
Cited by
The gasdermins, a protein family executing cell death and inflammation
Broz, P., Pelegrín, P., & Shao, F. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0228-2 · Cited by 1,641
CD4+ T cell help in cancer immunology and immunotherapy
Borst, J., Ahrends, T., Bąbała, N., Melief, C. J. M., & Kastenmüller, W. (2018) · Nature Reviews Immunology · doi:10.1038/s41577-018-0044-0 · Cited by 1,585
Deciphering cell–cell interactions and communication from gene expression
Armingol, E., Officer, A., Harismendy, O., & Lewis, N. E. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00292-x · Cited by 1,267
Proteogenomic and metabolomic characterization of human glioblastoma
Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.01.006 · Cited by 661
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
Schapiro, D., Jackson, H. W., Raghuraman, S., Fischer, J. R., Zanotelli, V. R. T., Schulz, D., Giesen, C., Catena, R., Varga, Z., & Bodenmiller, B. (2017) · Nature Methods · doi:10.1038/nmeth.4391 · Cited by 659
Metadata
- Authors
- Rieckmann, J. C., Geiger, R., Hornburg, D., Wolf, T., Kveler, K., Jarrossay, D., Sallusto, F., Shen-Orr, S. S., Lanzavecchia, A., Mann, M., & Meissner, F.
- Venue
- Nature Immunology
- Published
- 2017-03-06
- Volume
- 18
- Issue
- 5
- Pages
- 583-593
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W2594694689
- Cited by
- 385
- References
- 17
- FWCI
- 18.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Social network architecture of human immune cells unveiled by quantitative proteomics. https://app.cochat.ai/papers/10.1038/ni.3693
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- Rieckmann, J. C., Geiger, R., Hornburg, D., Wolf, T., Kveler, K., Jarrossay, D., Sallusto, F., Shen-Orr, S. S., Lanzavecchia, A., Mann, M., & Meissner, F. (2017). Social network architecture of human immune cells unveiled by quantitative proteomics. Nature Immunology. https://doi.org/10.1038/ni.3693
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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.
