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Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosis

Cell Reports Methods(2021)10.1016/j.crmeth.2021.100050Source: DataRank Database

Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosis is a research paper published in Cell Reports Methods (2021). On theSindex it has a DataRank of 0.510. It has been cited 29 times.

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0.510DataRank · unranked

Scored on demand from live citation data

Open Access29 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (11 grants)Impact (FWCI 1.78)OA: goldTopics (51)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (2)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.510

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (7)

Qi Yu ORCID,Ronglai Shen ORCID,Shi‐Yong Sun ORCID,Carlos S. Moreno ORCID,Xiaoxian Li ORCID

Live enrichment

PubMed:34671755 PMC:PMC8525796 OpenAlex:https://openalex.org/W3185492931

National Cancer Institute

Grant: R01CA223220

National Cancer Institute

Grant: R01CA245386

National Cancer Institute

Grant: U01CA217875

National Cancer Institute

Grant: UG1CA233259

NIAID NIH HHS

Grant: R01 AI145231

National Institutes of Health

Grant: 3UG1CA233259-06S1

ECOG-ACRIN Thoracic Malignancies Integrated Translational Science Center

National Institutes of Health

Grant: 5R01CA245386-05

c-Myc modulation and its implications in EGFR-targeted cancer therapy

National Institutes of Health

Grant: 5U01CA217875-04

Systematic discovery of neomorph protein-protein interactions in cancer for oncogenic pathway perturbation

National Institutes of Health

Grant: 5R01AI145231-04

Using donor dendritic cells to optimize GvHD and GvL in allogeneic stem cell transplantation

National Institutes of Health

Grant: 5R01CA223220-06

Modulation of death receptor 4 in EGFR-targeted cancer therapy

National Institutes of Health

FWCI

1.78

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://www.sciencedirect.com/science/article/pii/S2667237521000989/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S2667237521000989/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2667237521000989?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667237521000989?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.crmeth.2021.100050

Fields of Study

Bioinformatics and Genomic NetworksFerroptosis and cancer prognosisRNA modifications and cancer0301 basic medicine0303 health sciences03 medical and health sciencesHumansBiomarkers, TumorNeoplasmsPrognosisCarcinogenesisCell Transformation, NeoplasticGene Expression

MeSH Terms

Cell Transformation, NeoplasticHumansNeoplasmsPrognosisBiomarkers, TumorGene ExpressionCarcinogenesis

Keywords

CarcinogenesisGeneCancerBiologyGene expressionSuppressorBioinformaticsBiomarkerComputational biologyOncologyGene expression profilingMedicineCancer researchGeneticspathwayScienceQpan-cancerThe Cancer Genome AtlasQD415-436PrognosisBiochemistryArticleCell Transformation, Neoplasticgene setNeoplasmsBiomarkers, TumorHumansRNA-seqTP248.13-248.65Biotechnology

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Additional file 1 of Single sample pathway analysis in metabolomics: performance evaluation and application

10.6084/m9.figshare.21559461.v1figshare

Additional file 1 of Single sample pathway analysis in metabolomics: performance evaluation and application

10.6084/m9.figshare.21559461figshare