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

Diana Mahdessian

KTH Royal Institute of Technology

ORCID: 0000-0003-0750-1070
ChemistryBiochemistry, 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 100%percentile
0Author 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 100%0 citations

Diana Mahdessian, Emma Lundberg, Jeffrey Reina

Papers

Driven by 2 papers — median percentile 0. Top paper: A subcellular map of the human proteome.

2991 citations

Lovisa Åkesson, Mikaela Wiking, Diana Mahdessian, Aikaterini Geladaki, Hammou Ait Blal +38 more

Top 100%0 citations

Diana Mahdessian, Emma Lundberg, Jeffrey Reina