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

Filippo Abbondanza

University of St Andrews

ORCID: 0000-0002-1799-5492
NeuroscienceBiochemistry, Genetics and Molecular BiologyPsychology

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 →

Papers

Driven by 4 papers. Top paper: “Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people”.

Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2202764119
N/A
0.738DataRank · unranked
136 citations

Nazanin Mirza‐Schreiber, Eveline L. de Zeeuw, Carol A. Wang, Dongnhu T. Truong, Andrea G. Allegrini +90 more

Genome-wide association analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.04.466897
N/A
0.406DataRank · unranked
14 citations

Nazanin Mirza‐Schreiber, Eveline L. de Zeeuw, Carol A. Wang, Dongnhu T. Truong, Andrea G. Allegrini +85 more

Genome-wide association study and polygenic risk score analysis for hearing measures in children

10.1101/2020.07.22.215376
N/A
0.165DataRank · unranked
2 citations

Filippo Abbondanza, Silvia Paracchini, Judith Schmitz

Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities

Translational Psychiatry(2022)10.1038/s41398-022-02250-z
N/A
0DataRank · unranked
14 citations

Karen Wigg, Else Eising, Yu Feng, Kirsten Blokland, Margaret Wilkinson +85 more