Tianyu Liu

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 16 papers. Top paper: “SpatialAgent: An autonomous AI agent for spatial biology”.

SpatialAgent: An autonomous AI agent for spatial biology

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.03.646459

N/A

1.5DataRank · unranked

47 citations

Yichun He, Paula P. Coelho, Matthew Bucci, Abbas Nazir, Bob Chen +35 more

scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Nature Communications(2025)10.1038/s41467-025-60333-z

N/A

0.530DataRank · unranked

23 citations

Jia Zhao, Yingxin Lin, Tianyu Liu, Yize Zhao, Luca Pinello +1 more

Building a unified model for drug synergy analysis powered by large language models

Nature Communications(2025)10.1038/s41467-025-59822-y

N/A

0.322DataRank · unranked

7 citations

Tinyi Chu, Xiao Luo, Luca Pinello, Tianyu Liu

PathOmCLIP: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of Pathology and Single-cell foundation model

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.10.627865

N/A

0.312DataRank · unranked

7 citations

Xinhao Liu, Minsheng Hao, Tianyu Liu, Prisca Liberali, Yong‐Ju Lee

ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.08.467781

N/A

0.211DataRank · unranked

3 citations

Tianyu Liu, Luca Pinello, Yuge Wang

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types

Advances in Neural Information Processing Systems 37(2024)10.52202/079017-0650

N/A

0.171DataRank · unranked

2 citations

Andrew Benz, Daniel Burkhardt, Robrecht Cannoodt, Mauricio Cortes, Jason Fong +18 more

Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States

Lecture Notes in Computer Science(2025)10.1007/978-3-031-90252-9_27

N/A

0.135DataRank · unranked

1 citations

Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang +6 more

SuperGLUE facilitates an explainable training framework for multi-modal data analysis

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101167

N/A

0.104DataRank · unranked

1 citations

Jia Zhao, Hongyu Zhao, Tianyu Liu

CosGeneGate selects multi-functional and credible biomarkers for single-cell analysis

Briefings in Bioinformatics(2024)10.1093/bib/bbae626

N/A

0DataRank · unranked

4 citations

Wenxin Long, Zhiyuan Cao, Yuge Wang, Chuan He, Le Zhang +3 more

ResPAN: a powerful batch correction model for scRNA-seq data through residual adversarial networks

Bioinformatics(2022)10.1093/bioinformatics/btac427

N/A

0DataRank · unranked

30 citations

Tianyu Liu, Luca Pinello, Yuge Wang

spVelo: RNA velocity inference for multi-batch spatial transcriptomics data

Genome biology(2025)10.1186/s13059-025-03701-8

N/A

0DataRank · unranked

8 citations

Tianyu Liu, Lingzhou Xue, Luca Pinello, Wenxin Long

Improving polygenic risk prediction performance through integrating electronic health records by phenotype embedding

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.05.668705

N/A

0DataRank · unranked

1 citations

Wangjie Zheng, Jiaqi Hu, Yingxin Lin, Jia Zhao, Gefei Wang +3 more

UNICORN: Towards universal cellular expression prediction with a multi-task learning framework

Nature Communications(2025)10.1038/s41467-025-64506-8

N/A

0DataRank · unranked

0 citations

Tinglin Huang, Lijun Wang, Yingxin Lin, Rex Ying, Luca Pinello +1 more

Cutting-edge drug resistance analysis of major cancers at single-cell level

Cancer Treatment and Research Communications(2025)10.1016/j.ctarc.2025.101043

N/A

0DataRank · unranked

0 citations

Zhiyuan Cao, Wenxin Long, Luca Pinello, Tianyu Liu

Modeling and predicting single-cell multi-gene perturbation responses with scLAMBDA

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.04.626878

N/A

0DataRank · unranked

14 citations

Tianyu Liu, Jia Zhao, Youshu Cheng, Luca Pinello, Gefei Wang

Improving polygenic risk prediction performance by integrating electronic health records through phenotype embedding

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.11.006

N/A

0DataRank · unranked

0 citations

Wangjie Zheng, Jiaqi Hu, Yingxin Lin, Jia Zhao, Gefei Wang +3 more