About the journal
Annual Review of Chemical and Biomolecular Engineering is a journal published by Annual Reviews in United States. It is listed in MEDLINE and PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Annual Reviews
- ISSN
- 1947-5438 · 1947-5446
- Country
- United States
- Access
- Not open access / not declared
- Official website
- http://www.annualreviews.org/journal/chembioeng
Index listings
- MEDLINE · 2010-01-01
- PUBMED · 2016-06-07
- Indexing
- MEDLINE · PUBMED
- APC
- —
- Declared review time (DOAJ)
- —
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Works in OpenAlex
383
Last recorded publication year
2026
h-index
97
i10-index
286
From OpenAlex open data (CC0).
Editorial & policy5
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- Portico
- Norwegian register (HK-dir)— 2026
- Level 1 — approved scholarly channel
- Open references deposited at Crossref
- 90%
- ORCID iDs in current deposits
- 0%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
Identity & continuity3
- Alternate titles
- Chemical and biomolecular engineering
- Source type
- journal
- NLM unique ID (PubMed)
- 101574034
Classification(no data)
No data available to the platform for this group
No platform data for: Classification — absence is not a judgment about the journal.
Subject areas
- Process Optimization and Integration
- Process Optimization and Integration
- Phase Equilibria and Thermodynamics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Phase Equilibria and Thermodynamics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Machine Learning in Materials Science
- Machine Learning in Materials Science
Show all subjects (50)
- Catalytic Processes in Materials Science
- Catalytic Processes in Materials Science
- Microbial Metabolic Engineering and Bioproduction
- Microbial Metabolic Engineering and Bioproduction
- Crystallization and Solubility Studies
- Crystallization and Solubility Studies
- Catalysis for Biomass Conversion
- Catalysis for Biomass Conversion
- Electrocatalysts for Energy Conversion
- Biofuel production and bioconversion
- Biofuel production and bioconversion
- Ionic liquids properties and applications
- Ionic liquids properties and applications
- Electrocatalysts for Energy Conversion
- 3D Printing in Biomedical Research
- 3D Printing in Biomedical Research
- RNA Interference and Gene Delivery
- RNA Interference and Gene Delivery
- Catalysis and Oxidation Reactions
- Carbon Dioxide Capture Technologies
- Carbon Dioxide Capture Technologies
- Catalysis and Oxidation Reactions
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
- Computational Drug Discovery Methods
- Granular flow and fluidized beds
- Chemistry and Chemical Engineering
- CRISPR and Genetic Engineering
- Enzyme Catalysis and Immobilization
- Computational Drug Discovery Methods
- Granular flow and fluidized beds
- Chemistry and Chemical Engineering
- Zeolite Catalysis and Synthesis
- Advanced Polymer Synthesis and Characterization
- Material Dynamics and Properties
- Fuel Cells and Related Materials
- Fuel Cells and Related Materials
- Material Dynamics and Properties
- Advanced Battery Materials and Technologies
- Advanced Polymer Synthesis and Characterization
- Zeolite Catalysis and Synthesis
- Advanced Battery Materials and Technologies
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ