🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Samuel Fredericks

New York University

ORCID: 0000-0002-6146-5536

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Blood Transcriptomes of SARS-CoV-2–Infected Kidney Transplant Recipients Associated with Immune Insufficiency Proportionate to Severity”.

Blood Transcriptomes of SARS-CoV-2–Infected Kidney Transplant Recipients Associated with Immune Insufficiency Proportionate to Severity

Journal of the American Society of Nephrology(2022)10.1681/asn.2022010125

N/A

0.345DataRank · unranked

9 citations

Zhongyang Zhang, Khadija Banu, Yorg Al Azzi, Anand Reghuvaran, Samuel Fredericks +16 more

Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies

Kidney International(2021)10.1016/j.kint.2021.09.028

N/A

0DataRank · unranked

71 citations

Fadi Salem, Madhav C. Menon, Karen Keung, Caixia Xi, Sebastian Hultin +21 more

Blood transcriptomes of SARS-CoV-2 infected kidney transplant recipients demonstrate immune insufficiency

medRxiv(2022)10.1101/2022.01.31.22270203

N/A

0DataRank · unranked

1 citations

Zhongyang Zhang, Khadija Banu, Yorg Al Azzi, Anand Reghuvaran, Samuel Fredericks +14 more