Nature Biotechnology

Aims & Scope

Nature Biotechnology is a monthly journal covering the science and business of biotechnology.

It publishes new concepts in technology/methodology of relevance to the biological, biomedical, agricultural and environmental sciences as well as covers the commercial, political, ethical, legal, and societal aspects of this research.

The first function is fulfilled by the peer-reviewed research section, the second by the expository efforts in the front of the journal.

We provide researchers with news about business; we provide the business community with news about research developments.

The core areas in which we are actively seeking research papers include: molecular engineering of nucleic acids and proteins; molecular therapy (therapeutics genes, antisense, siRNAs, aptamers, DNAzymes, ribozymes, peptides, proteins); large-scale biology (genomics, functional genomics, proteomics, structural genomics, metabolomics, etc.); computational biology (algorithms and modeling), regenerative medicine (stem cells, tissue engineering, biomaterials); imaging technology; analytical biotechnology (sensors/detectors for analytes/macromolecules), applied immunology (antibody engineering, xenotransplantation, T-cell therapies); food and agricultural biotechnology; and environmental biotechnology.

A comprehensive list of areas of interest is shown below.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	41.7
2024	33.10

SJR (SCImago Journal Rank)

Year	Value
2024	19.006

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	531

Journal Rank

Year	Value
2024	18

Journal Citation Indicator

Year	Value
2024	16503

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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, Chemical Engineering, Engineering and Immunology and Microbiology, 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.

• Full-length transcriptome assembly from RNA-Seq data without a reference genome

  Citation: 18265

  Authors: Manfred G, Brian J, Moran, Joshua Z, Dawn A, Ido, Xian, Lin, Raktima, Qiandong, Zehua, Evan, Nir, Andreas, Nicholas, Federica, Bruce W, Chad, Kerstin, Nir, Aviv

• Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

  Citation: 17094

  Authors: Evan, Jai Ram, Matthew R., Nicholas A., Christian C., Gabriel A., Harriet, Eric J., Manimozhiyan, Francesco, Yang, Jordan E., Kyle, Asker, Colin J., C. Titus, Benjamin J., Andrés Mauricio, John, Emily K., Ricardo, Christian, Pieter C., Gavin M., Daniel M., Claire, Christian F., Madeleine, Mehrbod, Jennifer, Julia M., Sean M., Deanna L., Antonio, Kestrel, Jiarong, Benjamin, Susan, Hannes, Curtis, Gavin A., Stefan, Alan K., Lingjing, Benjamin D., Kyo Bin, Christopher R., Paul, Scott T., Dan, Irina, Tomasz, Jorden, Morgan G. I., Joslynn, Ruth, Yong-Xin, Erikka, Catherine, Massoud, Clarisse, Bryan D., Daniel, Lauren J., Alexey V., Jessica L., Sydney C., Jamie T., Ahmad Turan, Jose A., Louis Felix, Stephanie B., Talima, Samuel L., Daniel, Mary Lai, Elmar, Lasse Buur, Adam, Michael S., Patrick, Nicola, Michael, Arron, Rashmi, Se Jin, John R., Austin D., Luke R., Pedro J., Pauline, Anupriya, Peter J., Sabah, Justin J. J., Fernando, Yoshiki, Emily, Max, William, Yunhu, Mingxun, Jonathan, Kyle C., Charles H. D., Amy D., Zhenjiang Zech, Jesse R., Yilong, Qiyun, Rob, J. Gregory

• MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification

  Citation: 13739

  Authors: Jürgen, Matthias

• Integrative genomics viewer

  Citation: 13514

  Authors: James T, Helga, Wendy, Mitchell, Eric S, Gad, Jill P

• Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

  Citation: 13445

  Authors: Cole, Brian A, Geo, Ali, Gordon, Marijke J, Steven L, Barbara J, Lior

• Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype

  Citation: 11505

  Authors: Daehwan, Joseph M., Chanhee, Christopher, Steven L.

• Integrating single-cell transcriptomic data across different conditions, technologies, and species

  Citation: 11458

  Authors: Andrew, Paul, Peter, Efthymia, Rahul

• StringTie enables improved reconstruction of a transcriptome from RNA-seq reads

  Citation: 11169

  Authors: Mihaela, Geo M, Corina M, Tsung-Cheng, Joshua T, Steven L

• Near-optimal probabilistic RNA-seq quantification

  Citation: 8857

  Authors: Nicolas L, Harold, Páll, Lior

• Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

  Citation: 7782

  Authors: Morgan G I, Jesse, J Gregory, Daniel, Dan, Joshua A, Jose C, Deron E, Rebecca L, Rob, Robert G, Curtis

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