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

Hannah Stabb

Wolfson Foundation

ORCID: 0000-0002-1546-8840

Also affiliated with Momentum (United Kingdom), Neuroscience Institute, Czech Academy of Sciences, Institute of Experimental Medicine, University College London

NeuroscienceMedicineAgricultural and Biological SciencesBiochemistry, 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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Altered reactivity to threatening stimuli in Drosophila models of Parkinson’s disease, revealed by a trial-based assay”.

Altered reactivity to threatening stimuli in Drosophila models of Parkinson’s disease, revealed by a trial-based assay

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.29.555311
N/A
0DataRank · unranked
0 citations

Viktor Billes, B. Király, Patricia Karkusova, Tibor Kovács, Hannah Stabb +9 more

A deep-learning strategy to identify cell types across species from high-density extracellular recordings

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.30.577845
N/A
0DataRank · unranked
12 citations

David J. Herzfeld, Francisco Naveros, Marie E. Hemelt, F D'Agostino, Marlies Oostland +18 more

Altered reactivity to threatening stimuli in Drosophila models of Parkinson’s disease, revealed by a trial-based assay

eLife(2024)10.7554/elife.90905
N/A
0DataRank · unranked
1 citations

Viktor Billes, B. Király, Patricia Karkusova, Tibor Kovács, Hannah Stabb +9 more

Altered reactivity to threatening stimuli in Drosophila models of Parkinson’s disease, revealed by a trial-based assay

eLife(2024)10.7554/elife.90905.1
N/A
0DataRank · unranked
0 citations

Viktor Billes, B. Király, Hannah Stabb, Katalin Sviatkó, Eszter Ujvári +6 more

A deep learning strategy to identify cell types across species from high-density extracellular recordings

Cell(2025)10.1016/j.cell.2025.01.041
N/A
0DataRank · unranked
30 citations

David J. Herzfeld, Francisco Naveros, Marie E. Hemelt, Federico D’Agostino, Marlies Oostland +18 more