The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Executable cell biology
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Citations
Cites
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Network motifs: theory and experimental approaches
Alon, U. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2102 · Cited by 3,279
A N EW A PPROACH TO D ECODING L IFE : Systems Biology
Ideker, T., Galitski, T., & Hood, L. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.343 · Cited by 1,664
A genomic regulatory network for development
Davidson, E. H., Rast, J. P., Oliveri, P., Ransick, A., Calestani, C., Yuh, C.-H., Minokawa, T., Amore, G., Hinman, V., Arenas-Mena, C., et al. (2002) · Science · doi:10.1126/science.1069883 · Cited by 1,567
The logical analysis of continuous, non-linear biochemical control networks
Glass, L., & Kauffman, S. A. (1973) · Journal of Theoretical Biology · doi:10.1016/0022-5193(73)90208-7 · Cited by 940
Physicochemical modelling of cell signalling pathways
Aldridge, B. B., Burke, J. M., Lauffenburger, D. A., & Sorger, P. K. (2006) · Nature Cell Biology · doi:10.1038/ncb1497 · Cited by 592
Mathematical models in microbial systems biology
Stelling, J. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.08.004 · Cited by 164
Cited by
Computational thinking and thinking about computing
Wing, J. M. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2008.0118 · Cited by 1,784
Rethinking drug design in the artificial intelligence era
Schneider, P., Walters, W. P., Plowright, A. T., Sieroka, N., Listgarten, J., Goodnow, R. A., Fisher, J., Jansen, J. M., Duca, J. S., Rush, T. S., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0050-3 · Cited by 894
Self-citationLogic-Based Models for the Analysis of Cell Signaling Networks
Morris, M. K., Saez-Rodriguez, J., Sorger, P. K., & Lauffenburger, D. A. (2010) · Biochemistry · doi:10.1021/bi902202q · Cited by 332
Efficient modeling, simulation and coarse-graining of biological complexity with NFsim
Sneddon, M. W., Faeder, J. R., & Emonet, T. (2011) · Nature Methods · doi:10.1038/nmeth.1546 · Cited by 288
The Cell Collective: Toward an open and collaborative approach to systems biology
Helikar, T., Kowal, B., McClenathan, S., Bruckner, M., Rowley, T., Madrahimov, A., Wicks, B., Shrestha, M., Limbu, K., & Rogers, J. A. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-96 · Cited by 254
Metadata
- Authors
- Fisher, J., & Henzinger, T. A.
- Venue
- Nature Biotechnology
- Published
- 2007-11
- Volume
- 25
- Issue
- 11
- Pages
- 1239-1249
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1986397618
- Cited by
- 538
- References
- 7
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Executable cell biology. https://app.cochat.ai/papers/10.1038/nbt1356
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- Fisher, J., & Henzinger, T. A. (2007). Executable cell biology. Nature Biotechnology. https://doi.org/10.1038/nbt1356
Data sources
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.