The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
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Cites
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Liquid biopsy and minimal residual disease - latest advances and implications for cure
Pantel, K., & Alix-Panabières, C. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0187-3 · Cited by 1,110
Allgayer, H., Mahapatra, S., Mishra, B., Swain, B., Saha, S., Khanra, S., Kumari, K., Panda, V. K., Malhotra, D., Patil, N. S., et al. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02338-2 · Cited by 127
The revolution of PDMS microfluidics in cellular biology
Banik, S., Uchil, A., Kalsang, T., Chakrabarty, S., Ali, M. A., Srisungsitthisunti, P., Mahato, K. K., Surdo, S., & Mazumder, N. (2023) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2022.2034733 · Cited by 84
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Metadata
- Authors
- Eyer, K., Doineau, R. C. L., Castrillon, C. E., Briseño-Roa, L., Menrath, V., Mottet, G., England, P., Godina, A., Brient-Litzler, E., Nizak, C., Jensen, A., Griffiths, A. D., Bibette, J., Bruhns, P., & Baudry, J.
- Venue
- Nature Biotechnology
- Published
- 2017-09-11
- Volume
- 35
- Issue
- 10
- Pages
- 977-982
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2750595332
- Cited by
- 264
- References
- 29
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring. https://app.cochat.ai/papers/10.1038/nbt.3964
- The paper
- Eyer, K., Doineau, R. C. L., Castrillon, C. E., Briseño-Roa, L., Menrath, V., Mottet, G., England, P., Godina, A., Brient-Litzler, E., Nizak, C., Jensen, A., Griffiths, A. D., Bibette, J., Bruhns, P., & Baudry, J. (2017). Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring. Nature Biotechnology. https://doi.org/10.1038/nbt.3964
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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.
