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

Ouli Xie

The University of Melbourne

ORCID: 0000-0002-5032-1932

Also affiliated with Peter Doherty Institute, Monash Health

MedicineBiochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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.

N/A
0Author DataRank · unranked

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 1 paper. Top paper: “Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data”.

Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data

eLife(2024)10.7554/elife.98300.3
N/A
0.557DataRank · unranked
40 citations

Ryan R. Wick, Louise M. Judd, An N Nguyen, Eike J Steinig, Ouli Xie +5 more