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

Maxat Kulmanov

King Abdullah University of Science and Technology

ORCID: 0000-0003-1710-1820

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
0.165Author DataRank

Indexed papers

3in 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 3 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 70%2 citations

Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang +24 more

Papers

Driven by 5 papers — median percentile 30. Top paper: DeepGOPlus: Improved protein function prediction from sequence.

33 citations

Robert Hoehndorf, Maxat Kulmanov

502 citations

Robert Hoehndorf, Maxat Kulmanov

Top 70%2 citations

Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang +24 more

N/A
0.104DataRank · unranked
1 citations

Şenay Kafkas, Andreas Karwath, Alexander Malic, Georgios V. Gkoutos, Michel J. Dumontier +2 more

0 citations

Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang +24 more