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

Meera Srikrishna

University of Gothenburg

ORCID: 0000-0002-5769-1653

MedicineComputer ScienceNeuroscience

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Assessing the clinical application of deep-learning-derived CT volumetric measures in neurodegenerative disease diagnostics”.

Assessing the clinical application of deep-learning-derived CT volumetric measures in neurodegenerative disease diagnostics

medRxiv(2022)10.1101/2022.12.19.22282455

N/A

0DataRank · unranked

0 citations

Nicholas J. Ashton, Alexis Moscoso, Joana B. Pereira, Rolf A. Heckemann, Danielle van Westen +15 more

Chemical imaging delineates Aβ plaque polymorphism across the Alzheimer’s disease spectrum

Nature Communications(2025)10.1038/s41467-025-59085-7

N/A

0DataRank · unranked

15 citations

Junyue Ge, Maciej Dulewicz, Meera Srikrishna, Alicja Szadziewska, Jack Wood +9 more

Generalizable MRI normative modelling to detect age-inappropriate neurodegeneration

Alzheimer s Research & Therapy(2025)10.1186/s13195-025-01872-x

N/A

0DataRank · unranked

2 citations

Richard A. I. Bethlehem, Jakob Seidlitz, Simon R. White, Michael David, Magdalena Kolanko +32 more