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

Ting Jin

University of Wisconsin–Madison

ORCID: 0000-0001-5073-0667
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 2%percentile
2.5Author DataRank

Indexed papers

3in 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 3 indexed papers 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.

Single-cell genomics and regulatory networks for 388 human brains

Science(2024)10.1126/science.adi5199
Top 12%
1.7DataRank
Top 12%155 citations

Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta +91 more

Papers

Driven by 14 papers — median percentile 56. Top paper: “Single-cell genomics and regulatory networks for 388 human brains”.

Single-cell genomics and regulatory networks for 388 human brains

Science(2024)10.1126/science.adi5199
Top 12%
1.7DataRank
Top 12%155 citations

Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta +91 more

Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD

Nature(2022)10.1038/s41586-022-05377-7
N/A
0.853DataRank · unranked
294 citations

Jillian R. Haney, Brie Wamsley, Chloe X. Yap, Sepideh Parhami, Prashant S. Emani +21 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
0.841DataRank · unranked
39 citations

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

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages

Bioinformatics(2020)10.1093/bioinformatics/btaa935
N/A
0.542DataRank · unranked
36 citations

Nam D. Nguyen, Flaminia Talos, Daifeng Wang, Ting Jin

Broad transcriptomic dysregulation across the cerebral cortex in ASD

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.17.423129
N/A
0.457DataRank · unranked
20 citations

Brie Wamsley, George Chen, Sepideh Parhami, Prashant S. Emani, Nathan Chang +17 more

Single-cell genomics and regulatory networks for 388 human brains

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.18.585576
Top 44%
0.419DataRank
Top 44%9 citations

Jason J. Liu, Declan Clarke, Matthew L. Jensen, Jonathan Warrell, Chirag Gupta +75 more

Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution

Scientific Data(2025)10.1038/s41597-025-04687-5
Top 49%
0.360DataRank
Top 49%10 citations

Prashant Nm, Donghoon Lee, Deepika Mathur, Karen Therrien, Aram Hong +59 more

Multimodal analyses reveal genes driving electrophysiological maturation of neurons in the primate prefrontal cortex

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.02.543460
N/A
0.260DataRank · unranked
4 citations

Qiping Dong, Kalpana Hanthanan Arachchilage, Ryan D. Risgaard, Moosa Syed, Jie Sheng +12 more

scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.11.147314
N/A
0.165DataRank · unranked
2 citations

Peter Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panagiotis Roussos +2 more

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

Multimodal analyses reveal genes driving electrophysiological maturation of neurons in the primate prefrontal cortex

Neuron(2025)10.1016/j.neuron.2025.04.025
N/A
0DataRank · unranked
11 citations

Qiping Dong, Kalpana Hanthanan Arachchilage, Ryan D. Risgaard, Moosa Syed, Jie Sheng +16 more

Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes

Bioinformatics(2020)10.1093/bioinformatics/btaa866
N/A
0DataRank · unranked
25 citations

Ting Jin, Daifeng Wang, Nam D. Nguyen

Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases

Journal of Neurodevelopmental Disorders(2022)10.1186/s11689-022-09438-w
N/A
0DataRank · unranked
59 citations

Pramod Bharadwaj Chandrashekar, Ting Jin, Chenfeng He, Saniya Khullar, Qiang Chang +2 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