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

Chemical Structure of DNA

Clinical Decision Support Systems: Decision-Making System for Clinical Data

Comparative proteome analyses of rhizomania resistant transgenic sugar beets based on RNA silencing mechanism.

Overexpression of hlyB and mdh genes confers halotolerance in Fremyella diplosiphon, a freshwater cyanobacterium.

Concepts and strategies of soybean seed proteomics using the shotgun proteomics approach

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

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

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

In silico identification and characterization of microRNAs based on EST and GSS in orphan legume crop, Lens culinaris medik. (Lentil)

Computational Identification, Characterization and Analysis of Conserved miRNAs and their Targets in Amborella Trichopoda

Computational Identification of MicroRNAs and Their Transcript Target(s) in Field Mustard (Brassica rapa L.).

Computational Identification, Target Prediction, and Validation of Conserved miRNAs in Insulin Plant ( Costus pictus D. Don)

Sequence Motif-Based One-Class Classifiers Can Achieve Comparable Accuracy to Two-Class Learners for Plant microRNA Detection

Mining Ferula gummosa transcriptome to identify miRNAs involved in the regulation and biosynthesis of terpenes.

Intelligent mining of large-scale bio-data: Bioinformatics applications

SlopMap: a software application tool for quick and flexible identification of similar sequences using exact k-mer matching.

Viremia during pregnancy and risk of childhood leukemia and lymphomas in the offspring: Nested case–control study

Machine Learning for detection of viral sequences in human metagenomic datasets

Recurrent respiratory papillomatosis: HPV genotypes and risk of high-grade laryngeal neoplasia.

Metagenomic profile of the viral communities in Rhipicephalus spp. ticks from Yunnan, China.