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In situ functional cell phenotyping reveals microdomain networks in colorectal cancer recurrence

Cell Reports Methods(2021)10.1016/j.crmeth.2021.100072Source: DataRank Database

In situ functional cell phenotyping reveals microdomain networks in colorectal cancer recurrence is a research paper published in Cell Reports Methods (2021). On theSindex it has a DataRank of 0.329. It has been cited 4 times, with 4 citing works in its 1-hop citation network.

N/A

0.329DataRank · unranked

Scored on demand from live citation data

Open Access4 citations · 4 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 0.22)OA: goldTopics (34)IDs (PubMed, OpenAlex)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)

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DataRank Breakdown

Base Score 73%Citation Network 27%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.0874

From 3 citing papers with measurable signal

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Top 4 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 4 citers.

Hsa_hsa_circ_0081069 promotes the progression of colorectal cancer through sponging miR‐665 and regulating E2F3 expression
Journal of Clinical Laboratory Analysis202212 citations47 referencesContributes 0.055
Functionally and Metabolically Divergent Melanoma-Associated Macrophages Originate from Common Bone-Marrow Precursors
Cancers20235 citations62 referencesContributes 0.029
In Search of a Unifying Concept in Human Diseases
Diseases20214 citations83 referencesContributes 0.019
MICRON learns outcome-associated representations of spatial immune microenvironments
bioRxiv (Cold Spring Harbor Laboratory)20260 citations43 referencesContributes 0.000

Authors (6)

Andrew M. Stern ORCID,Shikhar Uttam ORCID,D. Lansing Taylor ORCID,Filippo Pullara ORCID,S. Chakra Chennubhotla ORCID

Live enrichment

PubMed:34888541 OpenAlex:https://openalex.org/W3199289829

Université Pierre et Marie Curie

Grant: 711077

National Human Genome Research Institute

Grant: U54HG008540

National Institute of Biomedical Imaging and Bioengineering

Grant: 5T32EB009403

National Institute of Biomedical Imaging and Bioengineering

Grant: 1NIH/ NCI 1F31CA254332

National Institute of Biomedical Imaging and Bioengineering

Grant: PA DHS 4100054875

National Institute of Biomedical Imaging and Bioengineering

Grant: P30CA047904

National Institutes of Health

Grant: 3U54HG008540-02S1

Center for causal Modeling and discovery of Biomedical Knowledge from Big Data

National Institutes of Health

Grant: 3P30CA047904-07S1

CANCER CENTER SUPPORT GRANT

National Institutes of Health

Grant: 1F31CA254332-01

Quantifying heterocellular communication and spatial intratumoral heterogeneity from high dimensional spatial proteomics data

National Institutes of Health

Grant: 5R21CA204836-02

Chemical biology of superstolides--a novel class of anticancer natural products

National Institutes of Health

Grant: 5T32EB009403-04

Integrated, Interdisciplinary, Inter-university PHD Program Computational Biology

NCATS NIH HHS

Grant: U01 TR002383

NCI NIH HHS

Grant: R21 CA204836

NCI NIH HHS

Grant: F31 CA254332

NIBIB NIH HHS

Grant: T32 EB009403

NCI NIH HHS

Grant: U01 CA204826

FWCI

0.22

Citation Percentile

0.5%

Citation Trend

2021

2022

2023

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.crmeth.2021.100072

publisherhttps://doi.org/10.1016/j.crmeth.2021.100072

publisherhttps://api.elsevier.com/content/article/PII:S2667237521001247?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2667237521001247?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34888541

Fields of Study

Bioinformatics and Genomic NetworksSingle-cell and spatial transcriptomicsCancer Genomics and Diagnostics0301 basic medicine0303 health sciences03 medical and health sciencesHumansArtificial IntelligenceEcosystemAlgorithmsBiomarkersColorectal Neoplasms

MeSH Terms

AlgorithmsArtificial IntelligenceHumansColorectal NeoplasmsBiomarkersEcosystem

Keywords

Lipid microdomainPhenotypeBiologyComputational biologyColorectal cancerNeuroscienceComputer scienceCancerGeneticsArtificial IntelligenceHumansColorectal NeoplasmsArticleEcosystemAlgorithmsBiomarkers

Sustainable Development Goals

SDG 3: 3. Good health