OOIR: Observatory of International Research

Papers

(The H4-Index of Biodata Mining is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)

Article	Citations
Investigating potential drug targets for IgA nephropathy and membranous nephropathy through multi-queue plasma protein analysis: a Mendelian randomization study based on SMR and co-localization analys	380
Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning	333
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma	74
MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder	67
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses	55
Processing imbalanced medical data at the data level with assisted-reproduction data as an example	54
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics	36
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion	30
Polygenic risk modeling of tumor stage and survival in bladder cancer	28
Unsupervised clustering based coronary artery segmentation	25
circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data	23
Skin in the game: a review of computational models of the skin	23
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data	21
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records	20
Comparing new tools of artificial intelligence to the authentic intelligence of our global health students	20
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data	17
Ten simple rules for providing bioinformatics support within a hospital	17