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Statistical Applications in Genetics and Molecular Biology

Walter de Gruyter GmbH · Germany · Est. 1990

ISSN1544-6115

SJR Q4✓ WOS SCIE✓ Scopus / SJR

/ 100

Medium Risk

Score Breakdown

✓ WoS SCIE/SSCI+25

✓ Scopus Q4+5

Total40

Journal Impact Factor

This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View the current value on the journal’s page ↗

SJR Score

0.213

H-Index

CiteScore

1.2

SNIP

0.228

Total Works

745

Total Citations

38,964

2yr Mean Citedness

1.14

Free JIF alternative

Aims & Scope

Statistical Applications in Genetics and Molecular Biology (SAGMB) is a peer reviewed journal dedicated to advancing statistical, machine learning, and artificial intelligence (AI) methodologies and their applications across the full spectrum of modern molecular biosciences. The journal welcomes high-quality research addressing analytical challenges in all omics domains, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics. SAGMB serves as a platform for rigorous quantitative methods that support the analysis and interpretation of complex, high-dimensional biological data. Submissions that introduce novel techniques or demonstrate insightful applications of existing statistical, machine learning, and AI approaches to molecular biology are strongly encouraged. Review papers and Tutorials (including on software applications) are also welcome.

⚡ Speed vs Prestige

How does this journal balance review speed with impact level?

SJR Rank

Bottom 25%

General Information

Country / RegionGermany

Primary LanguageEnglish

1st Year Published1990

Annual Volume~ 8 articles / year

StatusActive (last: 2025)

Total Publications745

Publisher OrgDe Gruyter

Visit Journal Website

Submission Info

Peer Reviewpeer reviewed

Review Time—

Acceptance Rate—

OA License—

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Plagiarism Detection✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

8/12 · 67%

✅

Do you know the journal / publisher?

Walter de Gruyter GmbH

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

1544-6115

✅

Indexed in a trusted database?

WoS, Scopus

✅

Peer review process documented?

peer reviewed

❌

Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

✅

Plagiarism detection in place?

Yes

❌

Listed in DOAJ (verified OA)?

N/A

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published

Times cited

2019

2020

2021

2022

2023

2024

2025

2026

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Computational MathematicsQ4

GeneticsQ4

Molecular BiologyQ4

Statistics and ProbabilityQ4

Subject Classification

Web of Science Categories

Biochemistry & Molecular BiologyMathematical & Computational BiologyStatistics & Probability

Scopus Categories

GeneticsComputational MathematicsStatistics and ProbabilityMolecular Biology

Research Topics (OpenAlex)

Gene expression and cancer classificationBioinformatics and Genomic NetworksGenetic Mapping and Diversity in Plants and AnimalsGenetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGene Regulatory Network AnalysisStatistical Methods and InferenceStatistical Methods in Clinical TrialsBayesian Methods and Mixture ModelsGenomics and Phylogenetic Studies