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Proteogenomic data and resources for pan-cancer analysis

Cancer Cell(2023)10.1016/j.ccell.2023.06.009Source: DataRank Database

Proteogenomic data and resources for pan-cancer analysis is a dataset published in Cancer Cell (2023). On theSindex it has a DataRank of 3.4, placing it in the top 6.5% of the data-sharing corpus. It has been cited 241 times, with 100 citing works in its 1-hop citation network.

Top 6%percentile

3.4DataRank

Ranks in the top 6% for downstream scientific impact

Data paper Open Access241 citations · 100 citing works in its network

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Cite:

Linked data & code

dbgap

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 (25 grants)OA: hybridTopics (18)IDs (PubMed, PMC)Annotations (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

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DataRank Breakdown

Base Score 24%Citation Network 76%

Base Score Contribution

0.823

From this paper's citation signal

Citation Network Contribution

2.6

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.

Pan‐cancer proteogenomic landscape of whole‐genome doubling reveals putative therapeutic targets in various cancer types
Clinical and Translational Medicine202410 citations9 referencesContributes 0.266
BioLadder: A bioinformatic platform primarily focused on proteomic data analysis
iMeta202437 citations15 referencesContributes 0.243
Molecular Phenotyping With Proteomics
JAMA20252 citations9 referencesContributes 0.122
A unified pan-cancer proteome atlas
Cancer Cell20252 citations10 referencesContributes 0.110
NetworkCommons: bridging data, knowledge, and methods to build and evaluate context-specific biological networks
Bioinformatics20254 citations19 referencesContributes 0.085

Authors (98)

Yongchao Dou ORCID,Felipe da Veiga Leprevost ORCID,Yifat Geffen ORCID,Anna Calinawan ORCID,François Aguet ORCID

Live enrichment

PubMed:37582339 PMC:PMC10506762

National Cancer Institute

Grant: R33CA263705

National Cancer Institute

Grant: U24CA210955

National Cancer Institute

Grant: U24CA210979

National Institute of General Medical Sciences

Grant: T32GM136542

National Institutes of Health

Grant: 20X042F01/TO01

National Institutes of Health

Grant: 7591029F00029

National Institutes of Health

Grant: 75N91019D00024

National Institutes of Health

Grant: 75N91020F00029

National Institutes of Health

Grant: T32CA203690

National Institutes of Health

Grant: U01CA214114

National Institutes of Health

Grant: U01CA214116

National Institutes of Health

Grant: U01CA214125

National Institutes of Health

Grant: U24CA210954

National Institutes of Health

Grant: U24CA210967

National Institutes of Health

Grant: U24CA210972

National Institutes of Health

Grant: U24CA210985

National Institutes of Health

Grant: U24CA210986

National Institutes of Health

Grant: U24CA210993

NCI NIH HHS

Grant: U24 CA271012

NCI NIH HHS

Grant: U24 CA271075

NIEHS NIH HHS

Grant: P30 ES017885

NCI NIH HHS

Grant: U24 CA270823

Broad Institute

U.S. Department of Health and Human Services

Leidos Inc

hybridLicense: cc-by

publisherhttp://www.cell.com/article/S1535610823002192/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1535610823002192?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1535610823002192?httpAccept=text/plain

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10506762/pdf/nihms-1919526.pdf

Fields of Study

HumansProteogenomicsProteomicsGenomicsNeoplasmsGene Expression Profiling

MeSH Terms

HumansNeoplasmsGene Expression ProfilingProteomicsGenomicsProteogenomics

Keywords

ProteogenomicsOpen DataData HarmonizationMulti-omicsPan-cancerCptac

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Proteogenomic data and resources for pan-cancer analysis

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (98)

Funding (25 grants)

Open Access

Topics

Annotations (Europe PMC)

Related Papers (10)