The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Functional analysis of natural microbial consortia using community proteomics
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Citations
Cites
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Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
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Large-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,752
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
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A Molecular View of Microbial Diversity and the Biosphere
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TANDEM: matching proteins with tandem mass spectra
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Cited by
Blazewicz, S. J., Barnard, R. L., Daly, R. A., & Firestone, M. K. (2013) · The ISME Journal · doi:10.1038/ismej.2013.102 · Cited by 878
Paxdb, a database of protein abundance averages across all three domains of life
Wang, M., Weiss, M., Simonovic, M., Haertinger, G., Schrimpf, S. P., Hengartner, M. O., & von Mering, C. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.014704 · Cited by 466
“…such measurements are arguably among the most biologically meaningful functional genomics data sets; they support multiple application scenarios, including genome annotation (5, 6), biomarker discovery (7, 8), posttranslational modification detection (9), and even environmental studies (10, 11).”
BackgroundTracking heavy water (D 2 O) incorporation for identifying and sorting active microbial cells
Berry, D., Mader, E., Lee, T. K., Woebken, D., Wang, Y., Zhu, D., Palatinszky, M., Schintlmeister, A., Schmid, M. C., Hanson, B. T., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420406112 · Cited by 455
Microbial diversity and biogeochemical cycling in soda lakes
Sorokin, D. Y., Berben, T., Melton, E. D., Overmars, L., Vavourakis, C. D., & Muyzer, G. (2014) · Extremophiles · doi:10.1007/s00792-014-0670-9 · Cited by 344
Diamant, M., Blaak, E. E., & de Vos, W. M. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2010.00797.x · Cited by 308
Metadata
- Authors
- VerBerkmoes, N. C., Denef, V. J., Hettich, R. L., & Banfield, J. F.
- Venue
- Nature Reviews Microbiology
- Published
- 2009-03
- Volume
- 7
- Issue
- 3
- Pages
- 196-205
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W2007258729
- Cited by
- 269
- References
- 79
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Functional analysis of natural microbial consortia using community proteomics. https://app.cochat.ai/papers/10.1038/nrmicro2080
- The paper
- VerBerkmoes, N. C., Denef, V. J., Hettich, R. L., & Banfield, J. F. (2009). Functional analysis of natural microbial consortia using community proteomics. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro2080
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.
