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

Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs)

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2110867119Source: DataRank Database

Characterizing cell interactions at scale with made-to-order droplet ensembles (MODEs) is a research paper published in Proceedings of the National Academy of Sciences (2022). On theSindex it has a DataRank of 0. It has been cited 57 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access57 citations

Download PDF

Cite:

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 (7 grants)Impact (FWCI 3.68)OA: hybridTopics (61)IDs (PubMed, OpenAlex)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 (10)

Nathan G. Schoepp ORCID,Linfeng Xu ORCID,Codian S. Powell,Cyrille L. Delley ORCID,Christian Siltanen ORCID

Live enrichment

PubMed:35074872 OpenAlex:https://openalex.org/W4206972328

Defense Sciences Office, DARPA

Grant: D17PC00405

HHS | National Institutes of Health

Grant: 1R43HG010592

HHS | National Institutes of Health

Grant: 1R43HG010128

National Institutes of Health

Grant: 1R43HG010592-01A1

A platform for integrating cell signaling and single cell transcriptomics.

National Institutes of Health

Grant: 1R43HG010128-01

A platform for coupling chromatin profiling with single cell transcriptomics

NHGRI NIH HHS

Grant: R43 HG010128

NHGRI NIH HHS

Grant: R43 HG010592

FWCI

3.68

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.pnas.org/content/pnas/119/5/e2110867119.full.pdf

publisherhttps://www.pnas.org/content/pnas/119/5/e2110867119.full.pdf

publisherhttp://www.pnas.org/syndication/doi/10.1073/pnas.2110867119

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2110867119

journalhttps://doi.org/10.1073/pnas.2110867119

Fields of Study

Innovative Microfluidic and Catalytic Techniques InnovationCAR-T cell therapy researchSingle-cell and spatial transcriptomics0301 basic medicine03 medical and health sciences0303 health sciencesAnimalsBiological AssayCell CommunicationGenomicsHumansMicrofluidic Analytical TechniquesMicrofluidics

MeSH Terms

AnimalsBiological AssayCell CommunicationHumansGenomicsMicrofluidicsMicrofluidic Analytical Techniques

Keywords

MicrofluidicsComputer scienceMulticellular organismBottleneckScalabilityChimeric antigen receptorBiological systemThroughputComputational biologyNanotechnologyCellChemistryBiologyMaterials scienceImmune systemImmunotherapyproteolysiscell–cell interaction1.1 Normal biological development and functioningfunctional sortingBioengineeringCell Communicationlipid challengelysosomesUnderpinning researchatherosclerotic plaquescell-cell interactionGeneticssingle-cell analysisAnimalsHumansCancerdroplet microfluidicsHuman Genomevascular diseaseGenomicsBiological SciencesMicrofluidic Analytical TechniquesBiological Assaycell therapyBiotechnology

Sustainable Development Goals

SDG 3: 3. Good health