Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
Published by Elsevier
ISSN : 1570-0232 eISSN : 1873-376X
Abbreviation : J. Chromatogr. B Anal. Technol. Biomed. Life Sci.
Aims & Scope
The Journal of Chromatography B publishes papers on developments in separation science relevant to biology and biomedical research including both fundamental advances and applications.
Analytical techniques which may be considered include the various facets of chromatography, electrophoresis and related methods, affinity and immunoaffinity-based methodologies, hyphenated and other multi-dimensional techniques, and microanalytical approaches.
The journal also considers articles reporting developments in sample preparation, detection techniques including mass spectrometry, and data handling and analysis.
Developments related to preparative separations for the isolation and purification of components of biological systems may be published, including chromatographic and electrophoretic methods, affinity separations, field flow fractionation and other preparative approaches.
Applications to the analysis of biological systems and samples will be considered when the analytical science contains a significant element of novelty, e.g. a new approach to the separation of a compound, novel combination of analytical techniques, or significantly improved analytical performance.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.8 |
2024 | 2.80 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.568 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 169 |
Journal Rank
Year | Value |
---|---|
2024 | 10244 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 2979 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Chemistry and Medicine, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Apc url
- License
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Downstream processing of monoclonal antibodies—Application of platform approaches
Citation: 753
Authors: Abhinav A., Brian, Tim, Sam, Duncan
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Validation of bioanalytical LC–MS/MS assays: Evaluation of matrix effects
Citation: 662
Authors: Ann, Katrien, Sophie, Ilse, Yvette
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Systematic and comprehensive strategy for reducing matrix effects in LC/MS/MS analyses
Citation: 640
Authors: Erin, Diane M., Ziling, Jeffrey R.
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Optimization of protein precipitation based upon effectiveness of protein removal and ionization effect in liquid chromatography–tandem mass spectrometry
Citation: 586
Authors: Cara, Pratibha, Bev, Vanaja, Russell
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Oxidative stress in brain aging, neurodegenerative and vascular diseases: An overview
Citation: 535
Authors: E., M.C., A., P.
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Oral bioavailability of curcumin in rat and the herbal analysis from Curcuma longa by LC–MS/MS
Citation: 511
Authors: Kuo-Yi, Lei-Chwen, Ting-Yu, Shau-Chun, Tung-Hu
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Standard line slopes as a measure of a relative matrix effect in quantitative HPLC–MS bioanalysis
Citation: 488
Authors: B.K.
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Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods
Citation: 480
Authors: A.M, M.M, A.C
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Molecularly imprinted polymers: synthesis and characterisation
Citation: 474
Authors: Peter A.G, Amaia Zurutuza