Accelerated protocol for the differentiation of podocytes from human pluripotent stem cells is a research paper published in STAR Protocols (2021). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0
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.
Learn more about DataRank methodology →Vanderbilt-Ingram Cancer Center
Grant: P30 CA68485
US Department of Veterans Affairs
Grant: BX004845
NIH
Grant: EY08126
NIH
Grant: DK20593
NIH
Grant: DK58404
NIH
Grant: DK59637
NIH
Grant: CA68485
BLRD VA
Grant: I01 BX000320
NCI NIH HHS
Grant: P30 CA068485
NIDDK NIH HHS
Grant: P30 DK058404
NIDDK NIH HHS
Grant: U24 DK059637
NIDDK NIH HHS
Grant: U2C DK059637
BLRD VA
Grant: I01 BX004845
NIDDK NIH HHS
Grant: P30 DK020593
NCATS NIH HHS
Grant: UL1 TR002243
NIDDK NIH HHS
Grant: P30 DK114809
NEI NIH HHS
Grant: P30 EY008126
National Institutes of Health
Grant: 1P30DK058404-01A1
CORE--MICROARRAY
National Institutes of Health
Grant: 1U24DK059637-01
CORE--METABOLIC PATHOPHYSIOLOGY
National Institutes of Health
Grant: 3P30CA068485-23S2
Cancer Center Support Grant
National Institutes of Health
Grant: 5P60DK020593-25
Diabetes Research and Training Center
National Institutes of Health
Grant: 5UL1TR002243-05
Vanderbilt Institute for Clinical and Translational Research (VICTR)
National Institutes of Health
Grant: 5P30DK114809-02
Vanderbilt O'Brien Kidney Center
National Center for Advancing Translational Sciences
Vanderbilt O’Brien Kidney Center
Vanderbilt Institute for Clinical and Translational Research
FWCI
0.59
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Podocytes derived from human induced pluripotent stem cells: characterization, comparison, and modeling of diabetic kidney disease
Additional file 1 of Podocytes derived from human induced pluripotent stem cells: characterization, comparison, and modeling of diabetic kidney disease