Nature Methods
Published by Springer Nature
ISSN : 1548-7091 eISSN : 1548-7105
Abbreviation : Nat. Method
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 & ScopeMetrics & 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.
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Fiji: an open-source platform for biological-image analysis
Citation: 59144
Authors: Johannes, Ignacio, Erwin, Verena, Mark, Tobias, Stephan, Curtis, Stephan, Benjamin, Jean-Yves, Daniel James, Volker, Kevin, Pavel, Albert
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NIH Image to ImageJ: 25 years of image analysis
Citation: 54687
Authors: Caroline A, Wayne S, Kevin W
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QIIME allows analysis of high-throughput community sequencing data
Citation: 29915
Authors: J Gregory, Justin, Jesse, Kyle, Frederic D, Elizabeth K, Noah, Antonio Gonzalez, Julia K, Jeffrey I, Gavin A, Scott T, Dan, Jeremy E, Ruth E, Catherine A, Daniel, Brian D, Meg, Jens, Joel R, Peter J, William A, Jeremy, Tanya, Jesse, Rob
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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 VinÃcius, 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
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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
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HISAT: a fast spliced aligner with low memory requirements
Citation: 19587
Authors: Daehwan, Ben, Steven L
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UPARSE: highly accurate OTU sequences from microbial amplicon reads
Citation: 14132
Authors: Robert C
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ModelFinder: fast model selection for accurate phylogenetic estimates
Citation: 14088
Authors: Subha, Bui Quang, Thomas K F, Arndt, Lars S
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jModelTest 2: more models, new heuristics and parallel computing
Citation: 14008
Authors: Diego, Guillermo L, Ramón, David