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

Nathan Gaddis

RTI International

ORCID: 0000-0001-5205-7138
Biochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyMedicineNeuroscience

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 5%percentile
0.483Author 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.

Genetically predicted serum vitamin D and COVID-19: a Mendelian randomization study

medRxiv(2021)10.1101/2021.01.29.21250759
Top 39%
0.483DataRank
Top 39%4 citations

Andrew G. Clark, Dana B. Hancock, Nathan Gaddis, Patricia A. Cassano, Bonnie Patchen

Papers

Driven by 8 papers — median percentile 61. Top paper: “Genetically predicted serum vitamin D and COVID-19: a Mendelian randomization study”.

Genetically predicted serum vitamin D and COVID-19: a Mendelian randomization study

medRxiv(2021)10.1101/2021.01.29.21250759
Top 39%
0.483DataRank
Top 39%4 citations

Andrew G. Clark, Dana B. Hancock, Nathan Gaddis, Patricia A. Cassano, Bonnie Patchen

Multi-trait genome-wide association study of opioid addiction: OPRM1 and Beyond

medRxiv(2021)10.1101/2021.09.13.21263503
N/A
0.345DataRank · unranked
9 citations

Ravi Mathur, Jesse A. Marks, Linran Zhou, Bryan C. Quach, Alex Waldrop +37 more

GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing

Communications Biology(2022)10.1038/s42003-022-03738-6
N/A
0.269DataRank · unranked
3 citations

Fang Fang, Nathan Gaddis, Dana B. Hancock, Michael H. Cho, John E. Hokanson +8 more

Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline

medRxiv(2024)10.1101/2024.11.25.24317794
N/A
0.104DataRank · unranked
1 citations

Jingwen Zhang, Nathan Gaddis, Traci M. Bartz, Jing Chen, Catherine L. Debban +31 more

Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function

American Journal of Clinical Nutrition(2024)10.1016/j.ajcnut.2024.03.007
N/A
0.104DataRank · unranked
1 citations

Nathan Gaddis, Bonnie Patchen, Jiayi Xu, R. Graham Barr, George O'connor +7 more

Omega-3 fatty acids and genome-wide interaction analyses reveal DPP10–pulmonary function association

UNC Libraries(2024)10.17615/sk34-er41
N/A
0DataRank · unranked
1 citations

Michael Y. Tsai, K.E. North, Dana B. Hancock, A.V. Smith, T.B. Harris +45 more

Multi-omic network analysis identifies dysregulated neurobiological pathways in opioid addiction

medRxiv(2024)10.1101/2024.01.04.24300831
N/A
0DataRank · unranked
1 citations

David Kainer, Matthew Lane, Mikaela Cashman, J Izaak Miller, Michael R. Garvin +23 more

Multiomic Network Analysis Identifies Dysregulated Neurobiological Pathways in Opioid Addiction

Biological Psychiatry(2024)10.1016/j.biopsych.2024.11.013
N/A
0DataRank · unranked
5 citations

David Kainer, Matthew Lane, Mikaela Cashman, J Izaak Miller, Michael R. Garvin +22 more