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

Sayali Alatkar

University of Wisconsin–Madison

ORCID: 0000-0001-5984-461X
Biochemistry, Genetics and Molecular BiologyNeuroscienceHealth ProfessionsArts and Humanities

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 →

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.

Dynamic landscapes of gene regulatory networks in early mammalian neurogenesis: Insights into brain evolution and disorder risk

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.07.681016
Top 100%
0DataRank
Top 100%0 citations

Ryan D. Risgaard, Jie Sheng, Pubudu Kumarage, Jerome Choi, Sayali Alatkar +5 more

Papers

Driven by 7 papers — median percentile 0. Top paper: “ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data”.

ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data

Bioinformatics(2025)10.1093/bioinformatics/btaf218
N/A
0.208DataRank · unranked
3 citations

Daifeng Wang, Sayali Alatkar

CMOT: Cross Modality Optimal Transport for multimodal inference

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.15.512387
N/A
0DataRank · unranked
2 citations

Daifeng Wang, Sayali Alatkar

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.09.475548
N/A
0DataRank · unranked
0 citations

Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar +3 more

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010287
N/A
0DataRank · unranked
30 citations

Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar +3 more

CMOT: Cross-Modality Optimal Transport for multimodal inference

Genome biology(2023)10.1186/s13059-023-02989-8
N/A
0DataRank · unranked
23 citations

Daifeng Wang, Sayali Alatkar

Dynamic landscapes of gene regulatory networks in early mammalian neurogenesis: Insights into brain evolution and disorder risk

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.07.681016
Top 100%
0DataRank
Top 100%0 citations

Ryan D. Risgaard, Jie Sheng, Pubudu Kumarage, Jerome Choi, Sayali Alatkar +5 more

DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

Genome Medicine(2023)10.1186/s13073-023-01248-6
N/A
0DataRank · unranked
39 citations

Sayali Alatkar, Jiebiao Wang, Gabriel E. Hoffman, Chenfeng He, Ting Jin +6 more