The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics
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Citations
Cites
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Universal sample preparation method for proteome analysis
Wiśniewski, J. R., Zougman, A., Nagaraj, N., & Mann, M. (2009) · Nature Methods · doi:10.1038/nmeth.1322 · Cited by 8,352
Mass spectrometry-based proteomics
Aebersold, R., & Mann, M. (2003) · Nature · doi:10.1038/nature01511 · Cited by 6,955
Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.016717 · Cited by 2,877
Self-citationAbsolute Quantification of Proteins by LCMSE
Silva, J. C., Gorenstein, M. V., Li, G.-Z., Vissers, J. P. C., & Geromanos, S. J. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m500230-mcp200 · Cited by 1,529
Michalski, A., Cox, J., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr101060v · Cited by 685
Cited by
Bruderer, R., Bernhardt, O. M., Gandhi, T., Miladinović, S. M., Cheng, L.-Y., Messner, S., Ehrenberger, T., Zanotelli, V., Butscheid, Y., Escher, C., et al. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.044305 · Cited by 1,238
Meier, F., Brunner, A.-D., Koch, S., Koch, H., Lubeck, M., Krause, M., Goedecke, N., Decker, J., Kosinski, T., Park, M. A., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.000900 · Cited by 965
Meier, F., Beck, S., Grassl, N., Lubeck, M., Park, M. A., Raether, O., & Mann, M. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00932 · Cited by 423
A multicenter study benchmarks software tools for label-free proteome quantification
Navarro, P., Kuharev, J., Gillet, L. C., Bernhardt, O. M., MacLean, B., Röst, H. L., Tate, S. A., Tsou, C.-C., Reiter, L., Distler, U., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3685 · Cited by 346
Self-citationPhosphoproteomics in the Age of Rapid and Deep Proteome Profiling
Riley, N. M., & Coon, J. J. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04123 · Cited by 265
Short term changes in the proteome of human cerebral organoids induced by 5-MeO-DMT
Dakic, V., Minardi Nascimento, J., Costa Sartore, R., Maciel, R. D. M., de Araujo, D. B., Ribeiro, S., Martins-de-Souza, D., & Rehen, S. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-12779-5 · Cited by 134
Oligodendroglial fatty acid metabolism as a central nervous system energy reserve
Asadollahi, E., Trevisiol, A., Saab, A. S., Looser, Z. J., Dibaj, P., Ebrahimi, R., Kusch, K., Ruhwedel, T., Möbius, W., Jahn, O., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01749-6 · Cited by 130
“For post-identification analysis including TOP3 quantification of proteins, the freely available software ISO-Quant 81 (www.isoquant.net) was used.”
MethodWhite matter integrity in mice requires continuous myelin synthesis at the inner tongue
Meschkat, M., Steyer, A. M., Weil, M.-T., Kusch, K., Jahn, O., Piepkorn, L., Agüi-Gonzalez, P., Phan, N. T. N., Ruhwedel, T., Sadowski, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28720-y · Cited by 112
Ion Activation Methods for Peptides and Proteins
Macias, L. A., Santos, I. C., & Brodbelt, J. S. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b04859 · Cited by 107
Dietary- and host-derived metabolites are used by diverse gut bacteria for anaerobic respiration
Little, A. S., Younker, I. T., Schechter, M. S., Bernardino, P. N., Méheust, R., Stemczynski, J., Scorza, K., Mullowney, M. W., Sharan, D., Waligurski, E., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-023-01560-2 · Cited by 80
Erwig, M. S., Patzig, J., Steyer, A. M., Dibaj, P., Heilmann, M., Heilmann, I., Jung, R. B., Kusch, K., Möbius, W., Jahn, O., et al. (2019) · eLife · doi:10.7554/elife.43888 · Cited by 79
Structure of mycobacterial respiratory complex I
Liang, Y., Plourde, A., Bueler, S. A., Liu, J., Brzezinski, P., Vahidi, S., & Rubinstein, J. L. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214949120 · Cited by 31
Progressive axonopathy when oligodendrocytes lack the myelin protein CMTM5
Buscham, T. J., Eichel-Vogel, M. A., Steyer, A. M., Jahn, O., Strenzke, N., Dardawal, R., Memhave, T. R., Siems, S. B., Müller, C., Meschkat, M., et al. (2022) · eLife · doi:10.7554/elife.75523 · Cited by 18
Metadata
- Authors
- Distler, U., Kuharev, J., Navarro, P., Levin, Y., Schild, H., & Tenzer, S.
- Venue
- Nature Methods
- Published
- 2013-12-15
- Volume
- 11
- Issue
- 2
- Pages
- 167-170
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2066138347
- Cited by
- 481
- References
- 6
- FWCI
- 11.28
- 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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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.
