Articles published in Journal of Data Mining in Genomics & Proteomics have been cited by esteemed scholars and scientists all around the world. Journal of Data Mining in Genomics & Proteomics has got h-index 16, which means every article in Journal of Data Mining in Genomics & Proteomics has got 16 average citations.

Following are the list of articles that have cited the articles published in Journal of Data Mining in Genomics & Proteomics.

  2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010

Total published articles

30 56 30 30 23 2 4 8 30 22 23 34 14 4 5

Research, Review articles and Editorials

5 4 7 15 8 2 4 8 26 22 22 32 14 4 5

Research communications, Review communications, Editorial communications, Case reports and Commentary

25 52 23 15 15 0 0 0 4 0 1 2 0 0 0

Conference proceedings

0 0 0 6 0 0 0 0 0 164 0 0 0 0 0

Citations received as per Google Scholar, other indexing platforms and portals

86 104 118 125 166 142 170 190 150 77 52 46 11 14 0
Journal total citations count 1467
Journal impact factor 2.41
Journal 5 years impact factor 3.5
Journal cite score 7.71
Journal h-index 16
Important citations

ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples.

A new strategy to infer circularity applied to four new complete frog mitogenomes.

Role of Bioinformatics in Various Aspects of Biological Research: A Mini Review

Zebrafish in Biomedical Research and Drug Discovery

Direct visualization of replication dynamics in early zebrafish embryos

New Algorithms for Genome Characterization, Epigenetic Profiling Analysis, Data Mining and Population-based Studies

Role of Bioinformatics in Various Aspects of Biological Research: A Mini Review

New Algorithms for Genome Characterization, Epigenetic Profiling Analysis, Data Mining and Population-based Studies

New Algorithms for Genome Characterization, Epigenetic Profiling Analysis, Data Mining and Population-based Studies

New Algorithms for Genome Characterization, Epigenetic Profiling Analysis, Data Mining and Population-based Studies

A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values

Collective feature selection to identify crucial epistatic variants

Towards broadening Forensic DNA Phenotyping beyond pigmentation: Improving the prediction of head hair shape from DNA.

SOCS3 is epigenetically up-regulated in steroid resistant nephrotic children.

Integration of data in biosciences.

Role of Bioinformatics in Various Aspects of Biological Research: A Mini Review

Bioinformatics Applications in Biological and Clinical Studies

New Algorithms for Genome Characterization, Epigenetic Profiling Analysis, Data Mining and Population-based Studies

Highlights of Recent Articles on Data Mining in Genomics and Proteomics

Highlights of Recent Articles on Data Mining in Genomics and Proteomics