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

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 4%percentile
0.724Author 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.

Top 28%15 citations

Rajat Deo, Yue Ren, Hongzhe Lee, Haochang Shou, Harold I. Feldman +13 more

Papers

Driven by 3 papers — median percentile 72. Top paper: Analytical and Biological Variability of a Commercial Modified Aptamer Assay in Plasma Samples of Patients with Chronic Kidney Disease.

Top 28%15 citations

Rajat Deo, Yue Ren, Hongzhe Lee, Haochang Shou, Harold I. Feldman +13 more

4 citations

Peifeng Ruan, Mark R. Segal, Mirela Dobre, Jeffrey R. Schelling, Upasana Banerjee +5 more

21 citations

Kyle Bittinger, Yue Ren, Kelly Kachelries, J.M. Guerra Vales, Hongzhe Li +6 more