Fabio Morgante

ORCID: 0000-0003-3285-1988

Biochemistry, Genetics and Molecular BiologyAgricultural and Biological Sciences

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 12 papers. Top paper: “Gene-environment interactions contribute to blood pressure variation across global populations”.

Gene-environment interactions contribute to blood pressure variation across global populations

medRxiv(2025)10.1101/2025.07.02.25330727

N/A

0.165DataRank · unranked

2 citations

Noah Klimkowski Arango, Francesco Tiezzi, Trudy F. C. Mackay, Fabio Morgante, Khushi Goda

Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes

PLoS Genetics(2025)10.1371/journal.pgen.1011519

N/A

0.165DataRank · unranked

2 citations

Peter Sørensen, Vijay Shankar, Fabio Morgante, Deborah Kunkel

Comparing statistical learning methods for complex trait prediction from gene expression

PLoS ONE(2025)10.1371/journal.pone.0317516

N/A

0.104DataRank · unranked

1 citations

Fabio Morgante, Noah Klimkowski Arango

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.22.517471

N/A

0.104DataRank · unranked

1 citations

Peter Carbonetto, Gao Wang, Yuxin Zou, Abhishek Sarkar, Matthew Stephens +1 more

Using lifestyle information in polygenic modeling of blood pressure traits: a simple method to reduce bias

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.05.597631

N/A

0DataRank · unranked

0 citations

Khushi Goda, Fabio Morgante, Francesco Tiezzi

The role of genetic variation in shaping phenotypic responses to diet in aging Drosophila melanogaster

Heredity(2025)10.1038/s41437-025-00797-3

N/A

0DataRank · unranked

3 citations

Trudy F. C. Mackay, Fabio Morgante, Kåre Lehmann Nielsen, Jeppe Lund Nielsen, Torsten Nygaard Kristensen +2 more

The Role of Genetic Variation in Shaping Phenotypic Responses to Diet in Aging Drosophila melanogaster

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.09.632132

N/A

0DataRank · unranked

4 citations

Trudy F. C. Mackay, Fabio Morgante, Kåre Lehmann Nielsen, Jeppe Lund Nielsen, Torsten Nygaard Kristensen +2 more

Gene expression networks in the Drosophila Genetic Reference Panel

Genome Research(2020)10.1101/gr.257592.119

N/A

0DataRank · unranked

75 citations

Wen Huang, Shanshan Zhou, Mary Anna Carbone, Richard F. Lyman, Gunjan H Arya +8 more

When does accounting for gene–environment interactions improve complex trait prediction? A case study with Drosophila lifespan

G3 Genes Genomes Genetics(2025)10.1093/g3journal/jkaf304

N/A

0DataRank · unranked

0 citations

Francesco Tiezzi, Fabio Morgante

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes

PLoS Genetics(2023)10.1371/journal.pgen.1010539

N/A

0DataRank · unranked

8 citations

Peter Carbonetto, Gao Wang, Yuxin Zou, Abhishek Sarkar, Matthew Stephens +1 more

Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.06.592745

N/A

0DataRank · unranked

3 citations

Peter Sørensen, Vijay Shankar, Fabio Morgante, Deborah Kunkel

Comparing statistical learning methods for complex trait prediction from gene expression

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.01.596951

N/A

0DataRank · unranked

0 citations

Fabio Morgante, Noah Klimkowski Arango