Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

KG-Hub—building and exchanging biological knowledge graphs

Bioinformatics(2023)10.1093/bioinformatics/btad418Source: DataRank Database

KG-Hub—building and exchanging biological knowledge graphs is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 35 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access35 citations

Download PDF

Cite:

Linked data & code

chebi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 3.36)OA: goldTopics (73)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (26)

Tim Putman ORCID,Kevin Schaper ORCID,Deepak R Unni ORCID,Harshad Hegde ORCID,Tiffany J. Callahan ORCID

Live enrichment

PubMed:37389415 PMC:PMC10336030 OpenAlex:https://openalex.org/W4382599418

National Human Genome Research Institute

Grant: #1RM1HG010860-01

NHGRI NIH HHS

Grant: RM1 HG010860

NLM NIH HHS

Grant: T15 LM009451

NIGMS NIH HHS

Grant: U24 GM143402

NCATS NIH HHS

Grant: OT2 TR003449

NHGRI NIH HHS

Grant: U24 HG011449

NCI NIH HHS

Grant: U01 CA239108

National Institutes of Health

Grant: 5R24OD011883-07

The Monarch Initiative: Linking Diseases to Model Organism Resources

National Institutes of Health

Grant: 1U01CA239108-01

Illuminating the Druggable Genome by Knowledge Graphs

National Institutes of Health

Grant: 5U24HG011449-02

The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for Genomics

National Institutes of Health

Grant: 3OT2TR003449-02S1

A Common Dialect for Infrastructure and Services in Translator

National Science Foundation

Grant: 1940330

Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models

National Institutes of Health

Grant: 1RM1HG010860-01

A phenomics-first resource for interpretation of variants

National Institutes of Health

Grant: 1OT2TR003449-01

A Common Dialect for Infrastructure and Services in Translator

National Institutes of Health

Grant: 5U24GM143402-03

BioPortal: An Expansive Knowledgebase of Biomedical Entities and Relations

Monarch Initiative

Phenomics First Resource, a Center of Excellence in Genomic Science

National Institute of Health

FWCI

3.36

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad418/50757142/btad418.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad418/50757142/btad418.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/39/7/btad418/50856773/btad418.pdf

journalhttps://doi.org/10.1093/bioinformatics/btad418

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37389415

Fields of Study

Bioinformatics and Genomic NetworksAdvanced Graph Neural NetworksBiomedical Text Mining and Ontologies0301 basic medicine03 medical and health sciences

MeSH Terms

Machine LearningCOVID-19HumansPattern Recognition, AutomatedRare DiseasesBiological Ontologies

Keywords

Computer scienceReuseRepurposingModular designCloud computingOntologyKnowledge graphNode (physics)GraphBiological dataDatabaseSoftware engineeringInformation retrievalTheoretical computer scienceProgramming languageBioinformaticsOperating systemAutomatedFOS: Computer and information sciencesComputer Science - Machine LearningMachine Learning (mesh)Computer Science - Artificial Intelligence3102 Bioinformatics and Computational Biology (for-2020)Bioinformatics and Computational Biology08 Information and Computing Sciences (for)Pattern RecognitionQuantitative Biology - Quantitative MethodsMathematical SciencesBiological Ontologies (mesh)Pattern Recognition, AutomatedMachine Learning (cs.LG)Machine LearningRare DiseasesInformation and Computing Sciences31 Biological sciences (for-2020)Machine Learning and Artificial IntelligenceHumans46 Information and computing sciences (for-2020)Quantitative Methods (q-bio.QM)2.6 Resources and infrastructure (aetiology) (hrcs-rac)Humans (mesh)Original PaperNetworking and Information Technology R&D (NITRD) (rcdc)JGMCOVID-19 (mesh)COVID-19Biological Sciences1.5 Resources and infrastructure (underpinning)49 Mathematical sciences (for-2020)0041.5 Resources and infrastructure (underpinning) (hrcs-rac)06 Biological Sciences (for)Artificial Intelligence (cs.AI)Networking and Information Technology R&D (NITRD)Bioinformatics (science-metrix)Biological Ontologies01 Mathematical Sciences (for)FOS: Biological sciencesRare Diseases (mesh)Automated (mesh)Machine Learning and Artificial Intelligence (rcdc)2.6 Resources and infrastructure (aetiology)

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure