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

Mira Han

University of Nevada, Las Vegas

ORCID: 0000-0002-0488-1170
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 6%percentile
0.266Author 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.

Machine Learning Approaches for the Prediction Bone Mineral Density by using genomic and phenotypic data of 5,130 older Men

medRxiv(2020)10.1101/2020.01.20.20018143
Top 59%
0.266DataRank
Top 59%3 citations

Fatma Nasoz, Jong-Yun Jung, Bibek Bhattarai, Mira Han, Qing Wu

Papers

Driven by 6 papers — median percentile 41. Top paper: “Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms”.

Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms

Schizophrenia(2025)10.1038/s41537-025-00564-7
N/A
0.292DataRank · unranked
6 citations

Yimei Lu, Joan Manuel Cue, Mira Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger +4 more

Machine Learning Approaches for the Prediction Bone Mineral Density by using genomic and phenotypic data of 5,130 older Men

medRxiv(2020)10.1101/2020.01.20.20018143
Top 59%
0.266DataRank
Top 59%3 citations

Fatma Nasoz, Jong-Yun Jung, Bibek Bhattarai, Mira Han, Qing Wu

The essential but enigmatic regulatory role of HERVH in pluripotency

Trends in Genetics(2021)10.1016/j.tig.2021.07.007
N/A
0DataRank · unranked
44 citations

Richard Tillett, Mira Han, Corinne E. Sexton

Dynamic differential evolution schemes of WRKY transcription factors in domesticated and wild rice

Scientific Reports(2021)10.1038/s41598-021-94109-4
N/A
0DataRank · unranked
11 citations

Keeley S. Adams, Rin Boonjue, Paul J. Rushton, Mira Han, Jeffery Q. Shen +1 more

Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms

Research Square(2024)10.21203/rs.3.rs-4001384/v1
N/A
0DataRank · unranked
0 citations

Yimei Liu, Joan Manuel Cue, Mira Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger +4 more

A novel splicing graph allows a direct comparison between exon-based and splice junction–based approaches to alternative splicing detection

Briefings in Bioinformatics(2025)10.1093/bib/bbaf204
N/A
0DataRank · unranked
0 citations

Daniel Witoslawski, Steve Park, Jessica Holder, Amei Amei, Mira Han +1 more