Dynamic scRNA-seq of live human pancreatic slices reveals functional endocrine cell neogenesis through an intermediate ducto-acinar stage is a research paper published in Cell Metabolism (2023). On theSindex it has a DataRank of 0.587. It has been cited 49 times.
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Base Score Contribution
0.587
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
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Grant: SCR_014641
Leona M. and Harry B. Helmsley Charitable Trust
Grant: 2015-PG-T1D-052
Leona M. and Harry B. Helmsley Charitable Trust
Grant: 2018PG-T1D053
Juvenile Diabetes Research Foundation United States of America
Grant: 5-SRA-2018-557-Q-R
NIDDK Division of Diabetes Endocrinology and Metabolic Diseases
Grant: 1R01DK130846-01
NIDDK Division of Diabetes Endocrinology and Metabolic Diseases
Grant: 5R01DK116875-05
NIDDK Division of Diabetes Endocrinology and Metabolic Diseases
Grant: U01DK120393
NIDDK NIH HHS
Grant: R01 DK116875
Diabetes Research Institute Foundation
National Institutes of Health
FWCI
12.55
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 1 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 4 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 2 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 3 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 3 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 4 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas
Additional file 2 of PancrESS – a meta-analysis resource for understanding cell-type specific expression in the human pancreas