Journal of Biomedical Semantics

Papers
(The median citation count of Journal of Biomedical Semantics is 1. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Automatic transparency evaluation for open knowledge extraction systems40
Concretizing plan specifications as realizables within the OBO foundry36
We are not ready yet: limitations of state-of-the-art disease named entity recognizers22
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)17
Elucidating the semantics-topology trade-off for knowledge inference-based pharmacological discovery17
Standardizing free-text data exemplified by two fields from the Immune Epitope Database17
Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features15
Synthetic data for annotation and extraction of family history information from clinical text13
Improved characterisation of clinical text through ontology-based vocabulary expansion10
Ontology-based identification and prioritization of candidate drugs for epilepsy from literature9
Defining health data elements under the HL7 development framework for metadata management9
An ontology network for Diabetes Mellitus in Mexico9
Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction9
PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature8
End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach8
SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks8
Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trials8
Gene expression knowledge graph for patient representation and diabetes prediction7
Explanatory argumentation in natural language for correct and incorrect medical diagnoses6
The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond6
Annotation of epilepsy clinic letters for natural language processing6
An annotated dataset for extracting gene-melanoma relations from scientific literature6
RecSOI: recommending research directions using statements of ignorance6
Project Rosetta: a childhood social, emotional, and behavioral developmental feature mapping6
IrGO: Iranian traditional medicine General Ontology and knowledge base6
FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards6
CIDO ontology updates and secondary analysis of host responses to COVID-19 infection based on ImmPort reports and literature5
ResidueFinder: extracting individual residue mentions from protein literature4
Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies4
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph4
Chemical entity normalization for successful translational development of Alzheimer’s disease and dementia therapeutics4
Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs4
Improving reusability along the data life cycle: a regulatory circuits case study4
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma3
Features of a FAIR vocabulary3
Syntax-based transfer learning for the task of biomedical relation extraction3
FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example3
Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic2
Analysis and implementation of the DynDiff tool when comparing versions of ontology2
Classifying literature mentions of biological pathogens as experimentally studied using natural language processing2
Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments2
New and revised gene ontology biological process terms describe multiorganism interactions critical for understanding microbial pathogenesis and sequences of concern2
Enriching the FIDEO ontology with food-drug interactions from online knowledge sources2
MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed2
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs2
Linking common human diseases to their phenotypes; development of a resource for human phenomics1
MedLexSp – a medical lexicon for Spanish medical natural language processing1
Pathling: analytics on FHIR1
An annotated corpus of clinical trial publications supporting schema-based relational information extraction1
Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection1
Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflows1
Ontological representation, modeling, and analysis of parasite vaccines1
Enriched knowledge representation in biological fields: a case study of literature-based discovery in Alzheimer’s disease1
Alignment of vaccine codes using an ontology of vaccine descriptions1
BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine1
Semantic modelling of common data elements for rare disease registries, and a prototype workflow for their deployment over registry data1
Correction to: Semantic units: organizing knowledge graphs into semantically meaningful units of representation1
Text mining-based measurement of precision of polysomnographic reports as basis for intervention1
Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research1
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