Chen Cao

4.6k total citations · 2 hit papers
101 papers, 3.2k citations indexed

About

Chen Cao is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chen Cao has authored 101 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 20 papers in Genetics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chen Cao's work include Genetic Associations and Epidemiology (15 papers), Bioinformatics and Genomic Networks (14 papers) and Single-cell and spatial transcriptomics (13 papers). Chen Cao is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Bioinformatics and Genomic Networks (14 papers) and Single-cell and spatial transcriptomics (13 papers). Chen Cao collaborates with scholars based in China, United States and Canada. Chen Cao's co-authors include Yanyi Huang, Yanlin Weng, Kun Zhou, Feifei Cui, Quan Zou, Zilong Zhang, Xinglong Wu, Fuchou Tang, Stephen Lin and Devin Kwok and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chen Cao

94 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas

2016 456 citations Chen Cao et al. profile →
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

2021 316 citations Chen Cao, Jianhua Wang et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Chen Cao

Since Specialization

Citations

This map shows the geographic impact of Chen Cao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Cao more than expected).

Fields of papers citing papers by Chen Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Cao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Cao. The network helps show where Chen Cao may publish in the future.

Co-authorship network of co-authors of Chen Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Cao. A scholar is included among the top collaborators of Chen Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen Cao. Chen Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Medical Graph Diffusion: Hybrid Graph Diffusion With Heterogeneous Graph Convolutional Networks for Medical Text Classification 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), K. Y. Liu, (unknown), Chen Cao	0
2	MMDDI-SSE: A Novel Multi-Modal Feature Fusion Model With Static Subgraph Embedding for Drug-Drug Interaction Event Prediction 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Honghan Chen, (unknown), (unknown), (unknown), Chen Cao	1
3	GENEasso: a curated resource of credible disease–gene associations across complex diseases from GWAS summary statistics 2025 ·Nucleic Acids Research ·Tao Jiang, (unknown), Junjie Wang, (unknown), (unknown), Ranran Tang, Chen Cao, Ning Gu	1
4	GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics 2024 ·Nucleic Acids Research ·Chen Cao, (unknown), (unknown), (unknown), (unknown), Sheng Yang	8
5	A Local Appearance Model for Volumetric Capture of Diverse Hairstyles 2024 ·(unknown), Giljoo Nam, (unknown), Chen Cao, Jason Saragih, Michael Zollhöfer, Jessica K. Hodgins	1
6	Multiome-wide Association Studies: Novel Approaches for Understanding Diseases 2024 ·Genomics Proteomics & Bioinformatics ·(unknown), Kaiyang Chen, (unknown), (unknown), Yan Shen, Chen Cao, Ning Gu	3
7	Leveraging Random Effects in Cistrome‐Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer 2024 ·Advanced Science ·(unknown), (unknown), Kaiyang Chen, Hangjin Jiang, Shuting Zhang, (unknown), Yan Shen, Feng Chen, Baixin Shen, Chen Cao, Ning Gu	3
8	webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study 2024 ·Nucleic Acids Research ·Chen Cao, (unknown), Jianhua Wang, (unknown), (unknown), Tianyi You, Mulin Jun Li, (unknown), Quan Zou	4
9	BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation 2024 ·Journal of Computational Biology ·(unknown), Hui Feng, Chen Cao	7
10	PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods 2023 ·Nucleic Acids Research ·Chen Cao, Shuting Zhang, Jianhua Wang, (unknown), Xiaolong Ji, Dandan Huang, Sheng Yang, Ning Gu	10
11	EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records 2023 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Fang Guo, Devin Kwok, Chen Cao	10
12	RAVAR: a curated repository for rare variant–trait associations 2023 ·Nucleic Acids Research ·Chen Cao, (unknown), (unknown), Devin Kwok, Lin Liu, (unknown), Zilong Zhang, Feifei Cui, (unknown), (unknown), (unknown), Hangjin Jiang, (unknown), Quan Zou	11
13	webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration 2022 ·Bioinformatics ·Zilong Zhang, Feifei Cui, (unknown), (unknown), Anqi Xu, Chen Cao, Quan Zou	27
14	Integrating transcription factor occupancy with transcriptome-wide association analysis identifies susceptibility genes in human cancers 2022 ·Nature Communications ·(unknown), Wanqing Wen, (unknown), Zhishan Chen, Chen Cao, Xiao‐Ou Shu, Wei Zheng, Quan Long, Xingyi Guo	16
15	WgLink: reconstructing whole-genome viral haplotypes using L0+L1-regularization 2021 ·Bioinformatics ·Chen Cao, Matthew Greenberg, Quan Long	7
16	Disentangling genetic feature selection and aggregation in transcriptome-wide association studies 2021 ·Genetics ·Chen Cao, (unknown), Devin Kwok, Qing Li, (unknown), Liya Su, Xingyi Guo, Qingrun Zhang, Quan Long	19
17	webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study breakdown → 2021 ·Nucleic Acids Research ·Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Zhao Da, Mulin Jun Li, Quan Zou	316
18	kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes 2020 ·Briefings in Bioinformatics ·Chen Cao, Devin Kwok, (unknown), Qing Li, (unknown), (unknown), (unknown), Jingjing Wu, Matthew Greenberg, Quan Long	34
19	Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels 2020 ·Neural Information Processing Systems ·Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason Saragih, Hao Li, Yaser Sheikh	4
20	Method for constructing brain functional networks based on fMRI data 2010 ·Jisuanji yingyong yanjiu ·Chen Cao	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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