Biology Direct

Papers
(The TQCC of Biology Direct is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-10-01 to 2023-10-01.)
ArticleCitations
AMDock: a versatile graphical tool for assisting molecular docking with Autodock Vina and Autodock477
COVID-19 and iron dysregulation: distant sequence similarity between hepcidin and the novel coronavirus spike glycoprotein55
Pathophysiology of Crohn’s disease inflammation and recurrence53
Genome-based classification of Burkholderia cepacia complex provides new insight into its taxonomic status37
Can COVID-19 pandemic boost the epidemic of neurodegenerative diseases?37
Inter-organelle membrane contact sites: implications for lipid metabolism37
A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models33
Cancer predictive studies33
Predictability of drug-induced liver injury by machine learning27
A link between mitotic defects and mitotic catastrophe: detection and cell fate26
The p53 family member p73 in the regulation of cell stress response26
High-fat diet impairs ferroptosis and promotes cancer invasiveness via downregulating tumor suppressor ACSL4 in lung adenocarcinoma25
Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure23
More support for Earth’s massive microbiome22
Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling21
Understanding p53 tumour suppressor network20
Diverse approaches to predicting drug-induced liver injury using gene-expression profiles18
The immune system view of the coronavirus SARS-CoV-218
Micronucleus production, activation of DNA damage response and cGAS-STING signaling in syncytia induced by SARS-CoV-2 infection18
Lifestyle-dependent microglial plasticity: training the brain guardians17
Redressing the interactions between stem cells and immune system in tissue regeneration17
Mini-review: advances in 3D bioprinting of vascularized constructs15
Integrative analysis of the salt stress response in cyanobacteria14
Environmental metagenome classification for constructing a microbiome fingerprint14
Long non-coding RNA LINC00426 contributes to doxorubicin resistance by sponging miR-4319 in osteosarcoma14
The periosteum: a simple tissue with many faces, with special reference to the antler-lineage periostea14
Why call it developmental bias when it is just development?14
NUAK2 and RCan2 participate in the p53 mutant pro-tumorigenic network14
Commensal microbes and p53 in cancer progression13
Migrasomes, new vescicles as Hansel and Gretel white pebbles?13
Circ_0067680 expedites the osteogenic differentiation of human bone marrow-derived mesenchymal stem cells through miR-4429/CTNNB1/Wnt/β-catenin pathway13
Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use13
Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data11
Unraveling city-specific signature and identifying sample origin locations for the data from CAMDA MetaSUB challenge11
p53 regulates expression of nuclear envelope components in cancer cells11
mPies: a novel metaproteomics tool for the creation of relevant protein databases and automatized protein annotation11
Transcription factor KLF15 inhibits the proliferation and migration of gastric cancer cells via regulating the TFAP2A-AS1/NISCH axis11
p53-driven lipidome influences non-cell-autonomous lysophospholipids in pancreatic cancer11
An ensemble learning approach for modeling the systems biology of drug-induced injury10
Principles and biological concepts of heredity before Mendel10
A machine learning framework to determine geolocations from metagenomic profiling10
Study on the mechanism of LOXL1-AS1/miR-3614-5p/YY1 signal axis in the malignant phenotype regulation of hepatocellular carcinoma10
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