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

Yangyun Zou

Suzhou Research Institute

ORCID: 0000-0001-5034-9938

Also affiliated with Genomics Medicine (Ireland), Center for Innovation, Sinotech Genomics (China), Genomics England, Genomics (United Kingdom), South China Institute of Collaborative Innovation

MedicineImmunology and MicrobiologyBiochemistry, 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 7%percentile
0.120Author DataRank

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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

medRxiv(2022)10.1101/2022.10.26.22281567
Top 71%
0.120DataRank
Top 71%1 citations

Yangyun Zou, Aashish N. Adhikari, Steven E. Brenner, Andrew G. Sharo

Papers

Driven by 3 papers — median percentile 29. Top paper: “The role of exome sequencing in newborn screening for inborn errors of metabolism”.

The role of exome sequencing in newborn screening for inborn errors of metabolism

Nature Medicine(2020)10.1038/s41591-020-0966-5
N/A
0.835DataRank · unranked
261 citations

Renata C. Gallagher, Yaqiong Wang, Robert J. Currier, George S. Amatuni, Laia Bassaganyas +19 more

ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

Genome Medicine(2023)10.1186/s13073-023-01199-y
N/A
0.593DataRank · unranked
51 citations

Yangyun Zou, Aashish N. Adhikari, Steven E. Brenner, Andrew G. Sharo

ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

medRxiv(2022)10.1101/2022.10.26.22281567
Top 71%
0.120DataRank
Top 71%1 citations

Yangyun Zou, Aashish N. Adhikari, Steven E. Brenner, Andrew G. Sharo