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

Kamini Rakkar

University of Nottingham

ORCID: 0000-0001-8604-5370

Also affiliated with Nottingham Biomedical Research Centre

MedicineBiochemistry, Genetics and Molecular BiologyNeuroscience

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 5%percentile
0.389Author 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 47%6 citations

Kamini Rakkar, Sile Hu, Yike Guo, Ian M. Adcock, Michael A. Portelli

Papers

Driven by 1 paper — median percentile 53. Top paper: Translational Analysis of Moderate to Severe Asthma GWAS Signals Into Candidate Causal Genes and Their Functional, Tissue-Dependent and Disease-Related Associations.

Top 47%6 citations

Kamini Rakkar, Sile Hu, Yike Guo, Ian M. Adcock, Michael A. Portelli