OOIR: Observatory of International Research

Papers

(The H4-Index of Methods is 36. 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 2020-05-01 to 2024-05-01.)

Article	Citations
In silico trials: Verification, validation and uncertainty quantification of predictive models used in the regulatory evaluation of biomedical products	145
Magnetite nanoparticles: Synthesis methods – A comparative review	130
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework	125
Methods for ChIP-seq analysis: A practical workflow and advanced applications	115
Modern epigenetics methods in biological research	102
Radiomics in neuro-oncology: Basics, workflow, and applications	85
DNA methylation methods: Global DNA methylation and methylomic analyses	81
Methods for loading therapeutics into extracellular vesicles and generating extracellular vesicles mimetic-nanovesicles	68
Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes	66
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning	61
Recent trends in cell membrane-cloaked nanoparticles for therapeutic applications	61
Facile green synthesis of ZnO-RGO nanocomposites with enhanced anticancer efficacy	61
Variational graph auto-encoders for miRNA-disease association prediction	56
CRISPR-Cas systems for diagnosing infectious diseases	56
From laboratory to clinic: Translation of extracellular vesicle based cancer biomarkers	54
Improved library preparation with the new iCLIP2 protocol	52
A hierarchical three-step superpixels and deep learning framework for skin lesion classification	51
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition	50
Methods for preparation of niosomes: A focus on thin-film hydration method	49
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG	49
SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics	48
Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning	48
The design and synthesis of circular RNAs	47
iCLIP data analysis: A complete pipeline from sequencing reads to RBP binding sites	46
Assessment of separation methods for extracellular vesicles from human and mouse brain tissues and human cerebrospinal fluids	45

Unraveling the mechanisms that specify molecules for secretion in extracellular vesicles	43
PET/CT radiomics in breast cancer: Mind the step	42
Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks	41
Expression of eukaryotic membrane proteins in eukaryotic and prokaryotic hosts	41
Generation, purification and engineering of extracellular vesicles and their biomedical applications	40
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli	38
Methods for analysis of specific DNA methylation status	37
DeepFusion: A deep learning based multi-scale feature fusion method for predicting drug-target interactions	37
Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis	36
Amyloid-β oligomerization monitored by single-molecule stepwise photobleaching	36
Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions	36