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

Alexandra Ralevski

Institute for Systems Biology

ORCID: 0009-0000-5633-1448

Also affiliated with InSysBio (Russia), Providence Health & Services

Biochemistry, Genetics and Molecular BiologyNeuroscienceHealth ProfessionsMedicine

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
0.241Author 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.

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records

medRxiv(2024)10.1101/2024.04.25.24306380
Top 61%
0.241DataRank
Top 61%4 citations

Nadaa Taiyab, Michael Nossal, Lindsay Mico, Samantha N. Piekos, Jennifer J. Hadlock +1 more

Papers

Driven by 6 papers — median percentile 39. Top paper: “Generally-healthy individuals with aberrant bowel movement frequencies show enrichment for microbially-derived blood metabolites associated with reduced kidney function”.

Generally-healthy individuals with aberrant bowel movement frequencies show enrichment for microbially-derived blood metabolites associated with reduced kidney function

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.04.531100
N/A
0.345DataRank · unranked
9 citations

Christian Diener, Anne E. Levine, Tomasz Wilmanski, David L. Suskind, Alexandra Ralevski +6 more

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records

medRxiv(2024)10.1101/2024.04.25.24306380
Top 61%
0.241DataRank
Top 61%4 citations

Nadaa Taiyab, Michael Nossal, Lindsay Mico, Samantha N. Piekos, Jennifer J. Hadlock +1 more

The mammalian CLU homolog FMT controls development and behavior in Arabidopsis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.01.231183
N/A
0DataRank · unranked
0 citations

Federico Apelt, Justyna Jadwiga Olas, Bernd Mueller‐Roeber, Elena I. Rugarli, Friedrich Kragler +2 more

Risk factors for severe COVID-19 outcomes: a study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US healthcare system

medRxiv(2023)10.1101/2023.06.26.23291904
N/A
0DataRank · unranked
4 citations

Prof Philip J. Mease, Michael Chiorean, Lulu Iles‐Shih, Wanessa F Matos, Andrew Baumgartner +6 more

Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00021-9
N/A
0DataRank · unranked
15 citations

Philip J. Mease, Michael Chiorean, Lulu Iles-Shih, Wanessa F Matos, Andrew Baumgartner +6 more

Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Journal of Medical Internet Research(2024)10.2196/63445
N/A
0DataRank · unranked
15 citations

Nadaa Taiyab, Michael Nossal, Lindsay Mico, Samantha N. Piekos, Jennifer J. Hadlock +1 more