Nature Protocols

Aims & Scope

Nature Protocols aims to publish the protocols being used to answer outstanding biological and biomedical science research questions, including methods grounded in physics and chemistry that have a practical application to the study of biological problems.

As the main audience for Nature Protocols articles is research scientists, we only publish protocols that have research applications; thus, we do not publish protocols where the main application is to make decisions that influence patient management and treatment.

Specific techniques of interest include, but are not limited to, protocols relating to: Biochemistry; Cell biology; Cell culture; Chemical modification; Computational biology; Developmental biology; Epigenomics; Genetic analysis; Genetic modification; Genomics; Imaging; Immunology; Isolation, purification and separation; Lipidomics; Metabolomics; Microbiology; Model organisms; Nanotechnology; Neuroscience; Nucleic-acid based molecular biology; Pharmacology; Plant biology; Protein analysis; Proteomics; Spectroscopy; Structural biology; Synthetic chemistry; Tissue culture; Toxicology; Virology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	16
2024	13.10

SJR (SCImago Journal Rank)

Year	Value
2024	5.854

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	320

Journal Rank

Year	Value
2024	217

Journal Citation Indicator

Year	Value
2024	7452

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, designed to support cutting-edge academic discovery.

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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.

• Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

  Citation: 30537

  Authors: Da Wei, Brad T, Richard A

• Analyzing real-time PCR data by the comparative CT method

  Citation: 22108

  Authors: Thomas D, Kenneth J

• Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

  Citation: 10669

  Authors: Cole, Adam, Loyal, Geo, Daehwan, David R, Harold, Steven L, John L, Lior

• Genome engineering using the CRISPR-Cas9 system

  Citation: 10215

  Authors: F Ann, Patrick D, Jason, Vineeta, David A, Feng

• The Phyre2 web portal for protein modeling, prediction and analysis

  Citation: 8768

  Authors: Lawrence A, Stefans, Christopher M, Mark N, Michael J E

• De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

  Citation: 7351

  Authors: Brian J, Alexie, Moran, Manfred, Philip D, Joshua, Matthew Brian, David, Bo, Matthias, Matthew D, Michael, Joshua, Nathalie, Francesco, Nathan, Rick, Thomas, Colin N, Robert, Richard D, Nir, Aviv

• Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm

  Citation: 5625

  Authors: Prateek, Steven, Pauline C

• Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

  Citation: 5549

  Authors: Mihaela, Daehwan, Geo M, Jeffrey T, Steven L

• I-TASSER: a unified platform for automated protein structure and function prediction

  Citation: 5449

  Authors: Ambrish, Alper, Yang

• Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances

  Citation: 4842

  Authors: Irith, Kai, Robert E W

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