Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma is a research paper published in Cell (2020). On theSindex it has a DataRank of 10.2. It has been cited 1,137 times, with 200 citing works in its 1-hop citation network.
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Base Score Contribution
1.1
From this paper's citation signal
Citation Network Contribution
9.1
From 200 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
Cancer Research UK
Grant: C27165/A29073
U.S. Food and Drug Administration
Grant: DSTL/AGR00980
U.S. Food and Drug Administration
Grant: HHSF223201610018C
National Institutes of Health
Grant: S10OD018220
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Grant: 5UH2AR06767604
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Grant: 5U19AI100627-07
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Grant: AR43799
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National Institutes of Health
Grant: T32AR007422
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Grant: 5P01HL10879707
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Grant: 1U2CCA233195-01
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Grant: 1F32CA233203-01
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National Institutes of Health
Grant: IDIQ17X149
National Institutes of Health
Grant: 1U54HG010426-01
Stanford Tissue Mapping Center
National Institutes of Health
Grant: R33CA183692
National Institutes of Health
Grant: 5U01AI140498-02
T Cell Reagent Research for Monitoring T Cell in Food Allergy
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Grant: 2U19AI057229-16
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Grant: 5U54CA20997103
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Grant: 1R01HL120724-01A1
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Grant: 1U2CCA233238-01
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Grant: 5UG3DK114937-02
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Grant: 5P01AI131374-02
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National Institutes of Health
Grant: CA142635
Celgene
Grant: 133826
Celgene
Grant: 134073
U.S. Department of Defense
Grant: W81XWH-14-1-0180
U.S. Department of Defense
Grant: W81XWH-12-1-0591
U.S. Department of Veterans Affairs
Grant: I01BX00140908
Bill and Melinda Gates Foundation
Grant: OPP1113682
NCI NIH HHS
Grant: F32 CA233203
NCI NIH HHS
Grant: F99 CA212231
NIAID NIH HHS
Grant: U01 AI101984
NIAID NIH HHS
Grant: U19 AI135976
NHGRI NIH HHS
Grant: U54 HG010426
NHLBI NIH HHS
Grant: R01 HL128173
NIAID NIH HHS
Grant: U01 AI140498
Cancer Research UK
Grant: 27145
NIAID NIH HHS
Grant: U19 AI057229
NCI NIH HHS
Grant: U2C CA233238
NIDDK NIH HHS
Grant: UG3 DK114937
NCI NIH HHS
Grant: R01 CA142635
NHLBI NIH HHS
Grant: R01 HL120724
NCI NIH HHS
Grant: U2C CA233195
NIAID NIH HHS
Grant: P01 AI131374
NIAMS NIH HHS
Grant: R01 AR043799
NIAID NIH HHS
Grant: U19 AI100627
National Institutes of Health
Grant: 1R01HL128173-01
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Grant: 5R01AR043799-24
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Grant: 5R33CA183692-02
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Swedish Cancer Society
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01CA142635-05
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National Institutes of Health
Grant: 5T32AR007422-22
Postgraduate Training Program in Cutaneous Biology
National Institutes of Health
Grant: 1S10OD018220-01
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Cancer Research Institute
Stiftelsen för Strategisk Forskning
Vetenskapsrådet
Cancerfonden
Parker Institute for Cancer Immunotherapy
FWCI
41.23
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Additional file 1 of SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Additional file 6 of SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Additional file 6 of SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
Additional file 1 of BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies
Additional file 1 of BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies
Additional file 2 of BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies
Additional file 2 of BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies
Additional file 1 of Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Additional file 1 of Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Additional file 2 of Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Additional file 2 of Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
Additional file 8 of Integrated single-nucleus sequencing and spatial architecture analysis identified distinct injured-proximal tubular types in calculi rats
Additional file 8 of Integrated single-nucleus sequencing and spatial architecture analysis identified distinct injured-proximal tubular types in calculi rats
Additional file 1 of SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies
Additional file 1 of SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies
Additional file 1 of Evaluating spatially variable gene detection methods for spatial transcriptomics data
Additional file 1 of Evaluating spatially variable gene detection methods for spatial transcriptomics data
Additional file 2 of Evaluating spatially variable gene detection methods for spatial transcriptomics data
Additional file 2 of Evaluating spatially variable gene detection methods for spatial transcriptomics data