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Construction of a human cell landscape at single-cell level

Nature(2020)10.1038/s41586-020-2157-4Source: DataRank Database

Construction of a human cell landscape at single-cell level is a research paper published in Nature (2020). On theSindex it has a DataRank of 12.5. It has been cited 1,268 times, with 200 citing works in its 1-hop citation network.

N/A

12.5DataRank · unranked

Scored on demand from live citation data

1,268 citations · 200 citing works in its network

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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:Impact (FWCI 66.98)OA: closedTopics (41)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 9%Citation Network 91%

Base Score Contribution

1.1

From this paper's citation signal

Citation Network Contribution

11.5

From 200 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 200 citers.

UCell: Robust and scalable single-cell gene signature scoring
Computational and Structural Biotechnology Journal20211,075 citations12 referencesContributes 0.582
DISCO: a database of Deeply Integrated human Single-Cell Omics data
Nucleic Acids Research2021207 citations23 referencesContributes 0.232
Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity
Science20202,034 citations38 referencesContributes 0.200
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis
Nature Methods2024232 citations28 referencesContributes 0.195
WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics
Nucleic Acids Research2024383 citations32 referencesContributes 0.186

Authors (39)

Ziming Zhou,Lijiang Fei,Huiyu Sun,Renying Wang,Yao Chen ORCID

Live enrichment

PubMed:32214235 OpenAlex:https://openalex.org/W3013151148

FWCI

66.98

Citation Percentile

1.0%

Citation Trend

2019

2020

2021

2022

2023

2024

2025

2026

closedLicense: http://www.springer.com/tdm

publisherhttp://www.nature.com/articles/s41586-020-2157-4.pdf

publisherhttp://www.nature.com/articles/s41586-020-2157-4

journalhttps://doi.org/10.1038/s41586-020-2157-4

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32214235

repositoryhttps://www.nature.com/articles/s41586-020-2157-4

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene Regulatory Network Analysis

MeSH Terms

AdultAnimalsCell DifferentiationCell LineCell SeparationCellsChinaEthnicityFetusHematopoietic Stem CellsHumansImmunityIslets of LangerhansOrgan SpecificityRNA, MessengerStochastic ProcessesDatabases, FactualSequence Analysis, RNAAsian PeopleMiceInduced Pluripotent Stem CellsEmbryoid BodiesSingle-Cell Analysis

Keywords

CellSingle-cell analysisBiologyComputational biologyCell typeHuman cellTranscriptomeProgenitor cellRNACell biologyStem cellCell cultureGeneGeneticsGene expression

Sustainable Development Goals

SDG 0: Life in Land

Additional file 12 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347009.v1figshare

Additional file 12 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347009figshare

Additional file 1 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347012.v1figshare

Additional file 1 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347012figshare

Additional file 3 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347018.v1figshare

Additional file 3 of Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

10.6084/m9.figshare.13347018figshare

Additional file 1 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220747figshare

Additional file 1 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220747.v1figshare

Additional file 2 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220753.v1figshare

Additional file 2 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220753figshare

Additional file 3 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220756.v1figshare

Additional file 3 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220756figshare

Additional file 4 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220759.v1figshare

Additional file 4 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220759figshare

Additional file 5 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220762.v1figshare

Additional file 5 of Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients

10.6084/m9.figshare.14220762figshare

Additional file 1 of CDSeqR: fast complete deconvolution for gene expression data from bulk tissues

10.6084/m9.figshare.14670465.v1figshare

Additional file 1 of CDSeqR: fast complete deconvolution for gene expression data from bulk tissues

10.6084/m9.figshare.14670465figshare

Additional file 1 of Inflammation-related genes S100s, RNASE3, and CYBB and risk of leukemic transformation in patients with myelodysplastic syndrome with myelofibrosis

10.6084/m9.figshare.14920952.v1figshare

Additional file 1 of Inflammation-related genes S100s, RNASE3, and CYBB and risk of leukemic transformation in patients with myelodysplastic syndrome with myelofibrosis

10.6084/m9.figshare.14920952figshare