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

Xin Wu

The University of Tokyo

ORCID: 0000-0002-7179-371X
Materials ScienceEngineering

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 6%percentile
0.312Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Top 65%3 citations

Cataia Ives, Meisha Mandal, Ying Qin, Tabitha Hendershot, Jennifer Popovic +6 more

Papers

Driven by 4 papers — median percentile 29. Top paper: CureSCi Metadata Catalog–Making sickle cell studies findable.

Top 65%3 citations

Cataia Ives, Meisha Mandal, Ying Qin, Tabitha Hendershot, Jennifer Popovic +6 more

Top 78%
0.104DataRank
Top 78%1 citations

Cataia Ives, Meisha Mandal, Ying Qin, Tabitha Hendershot, Jennifer Popovic +6 more

N/A
0.104DataRank · unranked
1 citations

Jan Huisken, Neda Khanjani, Vesselina Bakalov, Michelle Engle, Michelle C. Krzyzanowski +9 more

N/A
0DataRank · unranked
0 citations

Jan Huisken, Vesselina Bakalov, Michelle Engle, Lauren Gridley, Michelle C. Krzyzanowski +8 more