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

High-Throughput Screens of PAM-Flexible Cas9 Variants for Gene Knockout and Transcriptional Modulation

Cell Reports(2020)10.1016/j.celrep.2020.02.010Source: DataRank Database

High-Throughput Screens of PAM-Flexible Cas9 Variants for Gene Knockout and Transcriptional Modulation is a research paper published in Cell Reports (2020). On theSindex it has a DataRank of 0. It has been cited 74 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access74 citations

Download PDF

Cite:

Linked data & code

geo gen pdb

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 (8 grants)Impact (FWCI 3.21)OA: goldTopics (65)IDs (PubMed, PMC, OpenAlex)Annotations (3)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 (7)

Zharko Daniloski ORCID,Xinhe Xue ORCID,Dayna McKenzie,Xinyi Guo ORCID,Hans‐Hermann Wessels ORCID

Live enrichment

PubMed:32130891 PMC:PMC7558435 OpenAlex:https://openalex.org/W3010221330

NHGRI NIH HHS

Grant: R00 HG008171

NHGRI NIH HHS

Grant: DP2 HG010099

NCI NIH HHS

Grant: R01 CA218668

National Institutes of Health

Grant: 5R00HG008171-05

Genome engineering tools for functional screening of non-coding elements

National Institutes of Health

Grant: 3DP2HG010099-01S2

In situ functional genomics to understand transcriptional regulation

National Institutes of Health

Grant: 3R01CA218668-04S2

Computational Methods for Identifying Non-coding Cancer Drivers

Defense Advanced Research Projects Agency

National Institutes of Health

FWCI

3.21

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttp://www.cell.com/article/S2211124720301649/pdf

publisherhttp://www.cell.com/article/S2211124720301649/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2211124720301649?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2211124720301649?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.celrep.2020.02.010

Fields of Study

CRISPR and Genetic EngineeringRNA and protein synthesis mechanismsAdvanced biosensing and bioanalysis techniques0301 basic medicine03 medical and health sciencesCRISPR-Associated Protein 9EndonucleasesGene Knockout TechniquesGenetic VariationHEK293 CellsHigh-Throughput Screening AssaysHumansINDEL MutationNucleotide MotifsTime FactorsTranscription, GeneticTranscriptional Activation

MeSH Terms

CRISPR-Associated Protein 9EndonucleasesHumansTime FactorsTranscription, GeneticGenetic VariationTranscriptional ActivationINDEL MutationGene Knockout TechniquesHigh-Throughput Screening AssaysHEK293 CellsNucleotide Motifs

Keywords

Cas9CRISPRGenome editingComputational biologyBiologyGeneGene knockoutDNAFunctional genomicsGenome engineeringTrans-activating crRNAGeneticsGenomeGenomicsMutagenesisProtospacer-adjacent MotifCrispriCrispraPooled Crispr ScreensPam FlexibleXcas9-ngTranscriptional ActivationTime FactorsTranscription, GeneticQH301-705.5Genetic VariationEndonucleasesArticleHigh-Throughput Screening AssaysGene Knockout TechniquesHEK293 CellsINDEL MutationCRISPR-Associated Protein 9HumansBiology (General)Nucleotide Motifs

Sustainable Development Goals

SDG 3: 3. Good health