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

Stephen A. Semick

Johns Hopkins University

ORCID: 0000-0001-8100-2312

Also affiliated with Johns Hopkins Medicine, Lieber Institute for Brain Development

Biochemistry, 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: “Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk”.

Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

Nature Communications(2021)10.1038/s41467-021-25517-3
N/A
0.641DataRank · unranked
71 citations

Nicholas J. Eagles, Richard Wilton, Amanda J. Price, Stephen A. Semick, Leonardo Collado‐Torres +9 more

Widespread methylation quantitative trait loci and their role in schizophrenia risk

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.24.311878
N/A
0.192DataRank · unranked
2 citations

Nicholas J. Eagles, Richard Wilton, Amanda J. Price, Stephen A. Semick, Leonardo Collado‐Torres +8 more

SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis

F1000Research(2020)10.12688/f1000research.14880.4
N/A
0DataRank · unranked
10 citations

Olaitan I. Awe, Thomas Bütler, Tamiru Denka, Stephen A. Semick, Wanhu Tang +2 more