The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Detection technologies in proteome analysis
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Citations
Cites
Towbin, H., Staehelin, T., & Gordon, J. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.9.4350 · Cited by 53,385
Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels
Shevchenko, A., Wilm, M., Vorm, O., & Mann, M. (1996) · Analytical Chemistry · doi:10.1021/ac950914h · Cited by 8,995
Green fluorescent protein as a marker for gene expression
Chalfie, M., Tu, Y., Euskirchen, G., Ward, W. W., & Prasher, D. C. (1994) · Science · doi:10.1126/science.8303295 · Cited by 6,802
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
A simplified ultrasensitive silver stain for detecting proteins in polyacrylamide gels
Oakley, B. R., Kirsch, D. R., & Morris, N. R. (1980) · Analytical Biochemistry · doi:10.1016/0003-2697(80)90470-4 · Cited by 3,247
Merril, C. R., Goldman, D., Sedman, S. A., & Ebert, M. H. (1981) · Science · doi:10.1126/science.6162199 · Cited by 2,933
Difference gel electrophoresis. A single gel method for detecting changes in protein extracts
Ünlü, M., Morgan, M. E., & Minden, J. S. (1997) · ELECTROPHORESIS · doi:10.1002/elps.1150181133 · Cited by 2,179
Glycoprotein staining following electrophoresis on acrylamide gels
Zacharius, R. M., Zell, T. E., Morrison, J. H., & Woodlock, J. J. (1969) · Analytical Biochemistry · doi:10.1016/0003-2697(69)90383-2 · Cited by 1,918
Nitric oxide circulates in mammalian plasma primarily as an S-nitroso adduct of serum albumin.
Stamler, J. S., Jaraki, O., Osborne, J., Simon, D. I., Keaney, J., Vita, J., Singel, D., Valeri, C. R., & Loscalzo, J. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.16.7674 · Cited by 1,238
Hager, D. A., & Burgess, R. R. (1980) · Analytical Biochemistry · doi:10.1016/0003-2697(80)90013-5 · Cited by 1,209
Cited by
Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity
Chandramouli, K., & Qian, P.-Y. (2009) · Human Genomics and Proteomics · doi:10.4061/2009/239204 · Cited by 511
Cánovas, F. M., Dumas‐Gaudot, E., Recorbet, G., Jorrin, J., Mock, H., & Rossignol, M. (2004) · PROTEOMICS · doi:10.1002/pmic.200300602 · Cited by 340
Methods for samples preparation in proteomic research
Bodzon-Kulakowska, A., Bierczynska-Krzysik, A., Dylag, T., Drabik, A., Suder, P., Noga, M., Jarzebinska, J., & Silberring, J. (2007) · Journal of Chromatography B · doi:10.1016/j.jchromb.2006.10.040 · Cited by 254
Metadata
- Authors
- Patton, W. F.
- Venue
- Journal of Chromatography B
- Publisher
- Elsevier BV
- Published
- 2002-05
- Volume
- 771
- Issue
- 1-2
- Pages
- 3-31
- ISSN
- 1570-0232 (ISSN-L)
- OpenAlex
- W1989039684
- Cited by
- 476
- References
- 111
- FWCI
- 22.63
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
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- CoChat. (2026). Citation check: Detection technologies in proteome analysis. https://app.cochat.ai/papers/10.1016/s1570-0232(02)00043-0
- The paper
- Patton, W. F. (2002). Detection technologies in proteome analysis. Journal of Chromatography B. https://doi.org/10.1016/s1570-0232(02)00043-0
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.
