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

Mario Flores

The University of Texas at San Antonio

ORCID: 0000-0003-1255-3983
Biochemistry, 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 7%percentile
0.104Author 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.

Dental Composite Performance Prediction Using Artificial Intelligence

medRxiv(2024)10.1101/2024.10.08.24314998
Top 78%
0.104DataRank
Top 78%1 citations

Kyumin Whang, Krishna C. Joshi, Hyeonwi Son, Yu Shin Kim, Mario Flores +1 more

Papers

Driven by 9 papers — median percentile 22. Top paper: “Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis”.

Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis

Briefings in Bioinformatics(2021)10.1093/bib/bbab531
N/A
0.652DataRank · unranked
76 citations

Zhentao Liu, Tinghe Zhang, Md Musaddaqui Hasib, Yu‐Chiao Chiu, Zhenqing Ye +8 more

Multimodal Identification of Molecular Factors Linked to Severe Diabetic Foot Ulcers Using Artificial Intelligence

International Journal of Molecular Sciences(2024)10.3390/ijms251910686
N/A
0.310DataRank · unranked
5 citations

Yu-Fang Jin, Mahmoud ElHefnawi, Yidong Chen, Mario Flores, Anita Omo-Okhuasuyi

Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning

Genes(2022)10.3390/genes13122264
N/A
0.274DataRank · unranked
5 citations

Karla Paniagua, Wenjian Huang, Ricardo J. Ramirez, Leonardo Falcón, Andy Liu +4 more

Cellular and molecular heterogeneities and signatures, and pathological trajectories of fatal COVID-19 lungs defined by spatial single-cell transcriptome analysis

medRxiv(2023)10.1101/2023.02.24.23286388
N/A
0.111DataRank · unranked
1 citations

Wen Meng, Zhentao Liu, Md Musaddaqul Hasib, Hugh Galloway, Suzane Ramos da Silva +13 more

Dental Composite Performance Prediction Using Artificial Intelligence

medRxiv(2024)10.1101/2024.10.08.24314998
Top 78%
0.104DataRank
Top 78%1 citations

Kyumin Whang, Krishna C. Joshi, Hyeonwi Son, Yu Shin Kim, Mario Flores +1 more

Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics

STAR Protocols(2025)10.1016/j.xpro.2025.104206
N/A
0.104DataRank · unranked
1 citations

Yufei Huang, Shou‐Jiang Gao, Yidong Chen, Yu-Fang Jin, Mario Flores +1 more

Molecular and immune signatures, and pathological trajectories of fatal COVID‐19 lungs defined by in situ spatial single‐cell transcriptome analysis

Journal of Medical Virology(2023)10.1002/jmv.29009
N/A
0DataRank · unranked
18 citations

Wen Meng, Zhentao Liu, Md Musaddaqul Hasib, Hugh Galloway, Suzane Ramos da Silva +13 more

Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions

Cancers(2022)10.3390/cancers14194763
N/A
0DataRank · unranked
51 citations

Md Musaddaqul Hasib, Yu‐Chiao Chiu, Zhifeng Han, Yufang Jin, Mario Flores +3 more

Dissection of tumoral niches using spatial transcriptomics and deep learning

iScience(2025)10.1016/j.isci.2025.112214
N/A
0DataRank · unranked
5 citations

Yufang Jin, Yidong Chen, Shou‐Jiang Gao, Yufei Huang, Mario Flores +1 more