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

Yasunobu Nagata

Nippon Medical School

ORCID: 0000-0002-0866-929X

MedicineBiochemistry, Genetics and Molecular Biology

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: “Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes”.

Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes

Blood(2020)10.1182/blood.2020005488

N/A

0DataRank · unranked

76 citations

Ran Zhao, Hassan Awada, Cassandra M Kerr, Inom Mirzaev, Sunisa Kongkiatkamon +8 more

Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia

Blood(2021)10.1182/blood.2020010603

N/A

0DataRank · unranked

80 citations

Arda Durmaz, Carmelo Gurnari, Ashwin Kishtagari, Manja Meggendorfer, Cassandra M Kerr +19 more

Molecular characterization of the histone acetyltransferase CREBBP/EP300 genes in myeloid neoplasia

Leukemia(2021)10.1038/s41375-021-01479-9

N/A

0DataRank · unranked

6 citations

Simona Pagliuca, Vera Ademà, Yasunobu Nagata, Cassandra M Kerr, Wencke Walter +10 more