Aims & Scope

Nature Methods is a forum for the publication of novel methods and significant improvements to tried-and-tested basic research techniques in the life sciences.

This monthly publication is aimed at a broad, interdisciplinary audience of academic and industry researchers actively involved in laboratory practice.

It provides them with new tools to conduct their research and places a strong emphasis on the immediate practical relevance of the work presented.

The journal publishes primary research papers as well as overviews of recent technical and methodological developments.

We are actively seeking primary methods papers of relevance to the biological and biomedical sciences, including methods grounded in chemistry that have a practical application to the study of biological problems.

To enhance the practical relevance of each paper, description of the method must be accompanied by its validation, its application to an important biological question and results illustrating its performance in comparison to available approaches.

Articles are selected for publication that present broad interest, thorough assessments of methodological performance and comprehensive technical descriptions that facilitate immediate application.

View Aims & Scope

Metrics & Ranking

Impact Factor

Year Value
2025 32.1
2024 36.10

SJR (SCImago Journal Rank)

Year Value
2024 17.251

Quartile

Year Value
2024 Q1

h-index

Year Value
2024 408

Journal Rank

Year Value
2024 27

Journal Citation Indicator

Year Value
2024 19073

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, designed to support cutting-edge academic discovery.


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.

  • SciPy 1.0: fundamental algorithms for scientific computing in Python

    Citation: 28878

    Authors: Pauli, Ralf, Travis E., Matt, Tyler, David, Evgeni, Pearu, Warren, Jonathan, Stéfan J., Matthew, Joshua, K. Jarrod, Nikolay, Andrew R. J., Eric, Robert, Eric, C J, İlhan, Yu, Eric W., Jake, Denis, Josef, Robert, Ian, E. A., Charles R., Anne M., Antônio H., Fabian, Paul, Aditya, Alessandro Pietro, Alex, Andreas, Andreas, Anthony, Antony, Ariel, C. Nathan, Chad, Charles, Christian, Clark, David A., David R., Dmitrii V., Emanuele, Eric, Eric, Fabrice, Felix, Florian, G., Gavin A., Gert-Ludwig, Gregory E., Gregory R., Hervé, Irvin, Jörg P., Jacob, James T, Janko, Joel, Johannes, Johannes, Johannes L., José Vinícius, Joscha, Joseph, Juan Luis Cano, Juan, Justin, Kevin, Martin, Matthew, Matthias, Maximilian, Michael, Mikhail, Nathaniel J., Nikolai, Nikolay, Oleksandr, Per A., Perry, Robert T., Roman, Sam, Sam, Scott, Sebastiano, Stefan, Surhud, Tadeusz, Takuya, Thomas J., Thomas P., Thomas, Thouis R., Tim, Tim, Tiziano, Tom, Utkarsh, Yaroslav O., Yoshiki

  • DADA2: High-resolution sample inference from Illumina amplicon data

    Citation: 27353

    Authors: Benjamin J, Paul J, Michael J, Andrew W, Amy Jo A, Susan P


Quick Facts

Current Factor
32.1
First Published: 2025

SJR (SCImago Journal Rank)

SJR
17.251
First Published: 2024

Quartile

Current Quartile
Q1
First Published: 2024

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