🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution

Cell(2020)10.1016/j.cell.2020.03.053Source: DataRank Database

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution is a dataset published in Cell (2020). On theSindex it has a DataRank of 5.6, placing it in the top 3.6% of the data-sharing corpus. It has been cited 609 times, with 100 citing works in its 1-hop citation network.

Top 4%percentile

5.6DataRank

Ranks in the top 4% for downstream scientific impact

Data paper Open Access609 citations · 100 citing works in its network

Cite:

Linked data & code

doi

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 (52 grants)OA: hybridTopics (48)IDs (PubMed, PMC)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 (1/3)

Dataset classification

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.

DataRank Breakdown

Base Score 17%Citation Network 83%

Base Score Contribution

0.962

From this paper's citation signal

Citation Network Contribution

4.7

From 100 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 100 citers.

Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web
Nature Methods202264 citations10 referencesContributes 0.417
The Organoid Cell Atlas
Nature Biotechnology2020172 citations16 referencesContributes 0.322
The Tumor Profiler Study: integrated, multi-omic, functional tumor profiling for clinical decision support
Cancer Cell2021142 citations17 referencesContributes 0.292
All models are wrong and yours are useless: making clinical prediction models impactful for patients
npj Precision Oncology202476 citations17 referencesContributes 0.256
TISCH2: expanded datasets and new tools for single-cell transcriptome analyses of the tumor microenvironment
Nucleic Acids Research2022638 citations35 referencesContributes 0.185

Authors (97)

Aviv Regev ORCID,Philipp Oberdoerffer ORCID,Tal Nawy ORCID,Anna Hupalowska ORCID,Jennifer E. Rood ORCID

Live enrichment

PubMed:32302568 PMC:PMC7376497

National Cancer Institute Cancer Moonshot

Grant: U24 CA233243

National Cancer Institute Cancer Moonshot

Grant: U2C CA233195

National Cancer Institute Cancer Moonshot

Grant: U2C CA233238

National Cancer Institute Cancer Moonshot

Grant: U2C CA233254

National Cancer Institute Cancer Moonshot

Grant: U2C CA233262

National Cancer Institute Cancer Moonshot

Grant: U2C CA233280

National Cancer Institute Cancer Moonshot

Grant: U2C CA233284

National Cancer Institute Cancer Moonshot

Grant: U2C CA233285

National Cancer Institute Cancer Moonshot

Grant: U2C CA233291

National Cancer Institute Cancer Moonshot

Grant: U2C CA233303

National Cancer Institute Cancer Moonshot

Grant: U2C CA233311

Johnson & Johnson

Grant: SU2C-AACR-DT23-17

NIH National Cancer Institute

Grant: HHSN261100039

NIH National Cancer Institute

Grant: HHSN261201500003I

Swiss National Science Foundation

Grant: P2ZHP3_181475

Swiss National Science Foundation

Grant: 181475

Using functional “cancer-geography” to build a predictive model for the melanoma precancerous ecosystem

Rosetrees

Grant: M740

NCI NIH HHS

Grant: R35 CA220508

NCI NIH HHS

Grant: T32 CA207021

NHGRI NIH HHS

Grant: T32 HG000044

NCI NIH HHS

Grant: R01 CA245499

NCI NIH HHS

Grant: R37 CA219697

NCI NIH HHS

Grant: R35 CA197570

NCI NIH HHS

Grant: K08 CA237732

NCATS NIH HHS

Grant: L30 TR000589

NCI NIH HHS

Grant: P30 CA014236

NIH HHS

Grant: R24 OD024624

NCI NIH HHS

Grant: U24 CA231877

NCI NIH HHS

Grant: U54 CA224083

NCI NIH HHS

Grant: K08 CA237871

NCI NIH HHS

Grant: P30 CA008748

NIDDK NIH HHS

Grant: P30 DK058404

NCI NIH HHS

Grant: P50 CA236733

Rosetrees

Grant: PGL19-2 10108

NCI NIH HHS

Grant: P30 CA091842

NCI NIH HHS

Grant: U01 CA235482

Rosetrees

Grant: M35-F2

NCI NIH HHS

Grant: P30 CA016672

National Institutes of Health

Grant: 5U2CCA233280-05

Omic and Multidimensional Spatial Atlas of Metastatic Breast and Prostate Cancers

National Institutes of Health

Grant: 3U2CCA233254-01S1

Extension to the HTAN Pre-Cancer Atlas Project

National Institutes of Health

Grant: 1U2CCA233311-01

Precancer Atlas of Familial Adenomatous Polyposis

National Institutes of Health

Grant: 1U2CCA233262-01

Pre-cancer atlases of cutaneous and hematologic origin (PATCH Center)

National Institutes of Health

Grant: 1U2CCA233291-01

Integrative Single-Cell Atlas of Host and Microenvironment in Colorectal Neoplastic Transformation

National Institutes of Health

Grant: 5U2CCA233285-02

Center for pediatric tumor cell atlas

National Institutes of Health

Grant: 5U2CCA233303-03

Washington University Human Tumor Atlas Research Center

National Institutes of Health

Grant: 5U2CCA233195-04

The Cellular Geography of Therapeutic Resistance in Cancer

National Institutes of Health

Grant: 2U24CA233243-02

Human Tumor Atlas Network: Data Coordinating Center

National Institutes of Health

Grant: 1U2CCA233238-01

The Lung PCA: A Multi-Dimensional Atlas of Pulmonary Premalignancy

National Institutes of Health

Grant: 5U2CCA233284-04

Transition to Metastatic State: Lung Cancer, Pancreatic Cancer and Brain Metastasis

Janssen Research & Development LLC

Howard Hughes Medical Institute

Klarman Cell Observatory at the Broad Institute

hybridLicense: cc-by

publisherhttp://www.cell.com/article/S0092867420303469/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0092867420303469?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0092867420303469?httpAccept=text/plain

repositoryhttps://hdl.handle.net/1721.1/135534

repositoryhttps://hdl.handle.net/1721.1/135534.2

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

HumansNeoplasmsCell Transformation, NeoplasticGenomicsAtlases as TopicSingle-Cell AnalysisTumor MicroenvironmentPrecision Medicine

Keywords

ResistanceTumorMetastasisData integrationAIData VisualizationSingle-cell GenomicsPre-cancerSpatial ImagingCancer TransitionsCancer MoonshotSpatial GenomicsHuman Tumor Atlas610BioengineeringCell TransformationMedical and Health SciencesAtlases as TopicClinical ResearchNeoplasmsGeneticsTumor Microenvironment2.1 Biological and endogenous factorsHumansAetiologyPrecision MedicineCancerNeoplasticHuman Genome500GenomicsBiological SciencesGood Health and Well BeingCell Transformation, NeoplasticSingle-Cell AnalysisHuman Tumor Atlas NetworkDevelopmental Biology

Sustainable Development Goals

SDG 3: 3. Good health

Related Papers (10)

Comprehensive Integration of Single-Cell Data

N/A

1.5DataRank · unranked

Cell(2019)

co-citedsame journal

10.1016/j.cell.2019.05.031

Integrating single-cell transcriptomic data across different conditions, technologies, and species

N/A

1.4DataRank · unranked

Nature Biotechnology(2018)

co-cited

10.1038/nbt.4096

Integrated analysis of multimodal single-cell data

N/A

1.4DataRank · unranked

Cell(2021)

co-citedsame journal

10.1016/j.cell.2021.04.048

Cell-level metadata are indispensable for documenting single-cell sequencing datasets

Top 22%

0.933DataRank

PLoS Biology(2021)

co-cited

10.1371/journal.pbio.3001077

anndata: Annotated data

N/A

0.859DataRank · unranked

bioRxiv (Cold Spring Harbor Laboratory)(2021)

co-cited

10.1101/2021.12.16.473007

Construction of a human cell landscape at single-cell level

N/A

12.5DataRank · unranked

Nature(2020)

co-cited

10.1038/s41586-020-2157-4

Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly

Top 5%

4.5DataRank

Science(2022)

co-cited

10.1126/science.abk2432

Transfer learning enables predictions in network biology

N/A

1.1DataRank · unranked

Nature(2023)

co-cited

10.1038/s41586-023-06139-9

Benchmarking atlas-level data integration in single-cell genomics

Top 3%

6.5DataRank

Nature Methods(2021)

co-cited

10.1038/s41592-021-01336-8

The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

Top 4%

5.3DataRank

Science(2022)

co-cited

10.1126/science.abl4896