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

Tianqi Yang

Sun Yat-sen University

ORCID: 0000-0001-5358-9144

Also affiliated with Guangxi Medical University, University of Manchester, Sun Yat-sen Memorial Hospital, First Affiliated Hospital of GuangXi Medical University

PsychologyBiochemistry, Genetics and Molecular BiologySocial SciencesNeuroscienceComputer Science

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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile”.

TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.15.480482
N/A
0.165DataRank · unranked
2 citations

Ricardo Henao, Tianqi Yang

TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009921
N/A
0DataRank · unranked
8 citations

Ricardo Henao, Tianqi Yang

Perturb-tracing enables high-content screening of multi-scale 3D genome regulators

Nature Methods(2025)10.1038/s41592-025-02652-z
N/A
0DataRank · unranked
19 citations

Mengwei Hu, Bing Yang, Tyler B Jensen, Yuan Zhang, Tianqi Yang +7 more