Impact Factor
2.18
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
1.38
22 total citations
h5-index
7
h5 depth signal
Cited share
47.6%
10 of 21
Total citations
22
Citation footprint
Metric signal
1.46
External metric anchor
Self-citation
4.5%
1 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
63
China
19
United Kingdom
8
Germany
7
India
7
Citing Fields of Research
Genetics & Genomics
111
Statistical Methods
86
AI & Machine Learning
43
Mass Spectrometry
12
Evolutionary Genomics
11
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
735
Articles tracked across the journal lifetime
Indexed publication set
21
10 cited publications
Last 12 months
10
10.0 publications/month
Open access share
20.0%
2 OA publications in the last year
Leading citing country
United States
63 citing publications
Leading citing field
Genetics & Genomics
111 citing publications
Latest tracked publication
1 January 2026
10 recent records available
Coverage & Indexing History
v5n1, 2006-
v5n1, 2006-
Research Focus & Classification
Indexed Subjects
Genetics & Genomics
AI & Machine Learning
Statistical Methods
Cystic Fibrosis
Broad Categories
Genetics
Molecular Biology
Statistics as Topic
Protein Structure & Folding
Statistical Methods
Genetics & Genomics
Medical Ethics
MeSH Descriptors
Genetics
Molecular Biology
Statistics as Topic
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1515/sagmb-2025-0074
Open DOI
A research on machine learning based gene selection algorithms for RNA-seq data
Discovering differentially expressed genes (DEGs) is an essential process for diagnosis and treatment. In this study, we evaluate the capacity of machine learning algorithms to identify genes that are simulated as truly differentially ex...
02
DOI 10.1515/sagmb-2026-0007
Open DOI
A statistical review of polygenic risk scores: from heuristics to model-based inference
Polygenic risk scores (PRS) were initially developed as pragmatic tools to aggregate genome-wide association study (GWAS) signals for individual-level prediction, relying on heuristic strategies such as clumping and thresholding to appro...
03
DOI 10.1515/sagmb-2025-0058
Open DOI
A bi-directional Mendelian randomization study of sarcopenia-related traits and renal function
The association between sarcopenia and renal function has been reported in observational studies; however, the directionality and potential causal nature of these associations remain uncertain. We assessed whether genetically predicted s...
04
DOI 10.1515/sagmb-2026-0006
Open DOI
Methods for modeling gene-environment interplay using polygenic risk scores
Polygenic risk scores (PRS) are increasingly recognized as pivotal tools for quantifying disease risk through the aggregation of multiple genetic variants. As sample sizes in genome-wide association studies (GWAS) continue to expand and ...
05
DOI 10.1515/sagmb-2025-0078
Open DOI
A hybrid deep learning framework for WT or mutant peptide prediction using p53 mutation data
P53 is a tumor suppressor protein that maintains genome integrity. Single amino acid variations (SAVs), especially hotspot mutations (such as R175 and R248), are closely associated with oncogenic transformation and weaken DNA-binding and...
06
DOI 10.1515/sagmb-2025-0068
Open DOI
Balanced mediated pathway detection in genomic data
Researchers are increasingly interested in identifying different parts of the genome which work together to influence a phenotypic trait. A major objective in bioinformatics involves finding groups of variables determined from omics tech...
07
DOI 10.1515/sagmb-2025-0001
Open DOI
Annealed variational mixtures for disease subtyping and biomarker discovery
Cluster analyses of high-dimensional data are often hampered by the presence of large numbers of variables that do not provide relevant information, as well as the perennial issue of choosing an appropriate number of clusters. These chal...
08
DOI 10.1515/sagmb-2025-0039
Open DOI
BLOG: Bayesian longitudinal omics with group constraints
Clinical investigators are increasingly interested in discovering computational biomarkers from short-term longitudinal omics datasets. This work focuses on Bayesian regression and variable selection for longitudinal omics datasets, whic...
09
DOI 10.1515/sagmb-2024-0020
Open DOI
Performance of the permutation test approach with base calling errors for detecting changes in variant allele frequencies in ctDNA for a single patient
Serial measurements of circulating tumor DNA (ctDNA) with next-generation sequencing (NGS) technology enable the real-time, noninvasive evaluation of longitudinal changes of molecular profiles in tumor tissues. These profiles can assist ...
10
DOI 10.1515/sagmb-2025-0042
Open DOI
AI-driven risk prediction and categorization in cystic fibrosis leveraging AttentiveLSTM and Fox Wolf Optimizer
Cystic fibrosis (CF), a genetic disorder stemming from CFTR gene mutations, requires accurate risk prediction to improve management. Modulator therapies have advanced treatment but remain limited, as they don’t cover all gene variants an...
Bibliographical & Catalog Notes
Title from cover p. (viewed Apr. 23, 2003).
Latest issue consulted: Vol. 2, issue 1 (2003).
Articles added consecutively to current annual v.
Electronic journal in HTML format.
Also issued in print.
Mode of access: Internet.