Junyue Cao

10.6k total citations · 4 hit papers
40 papers, 5.3k citations indexed

About

Junyue Cao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Junyue Cao has authored 40 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Junyue Cao's work include Single-cell and spatial transcriptomics (18 papers), RNA Research and Splicing (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Junyue Cao is often cited by papers focused on Single-cell and spatial transcriptomics (18 papers), RNA Research and Splicing (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Junyue Cao collaborates with scholars based in United States, China and Germany. Junyue Cao's co-authors include Jay Shendure, Cole Trapnell, Frank J. Steemers, Xiaojie Qiu, Lena Christiansen, Andrew J. Hill, Fan Zhang, Malte Spielmann, Xingfan Huang and Daniel M. Ibrahim and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Junyue Cao

37 papers receiving 5.2k citations

Hit Papers

The single-cell transcriptional landscape of mammalian or... 2017 2026 2020 2023 2019 2017 2018 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junyue Cao United States 19 4.1k 956 811 544 425 40 5.3k
Jonathan S. Packer United States 11 3.1k 0.8× 692 0.7× 713 0.9× 393 0.7× 331 0.8× 12 4.0k
Jeffrey A. Farrell United States 11 3.5k 0.9× 1.1k 1.2× 743 0.9× 361 0.7× 540 1.3× 18 4.9k
Beijing Wu United States 10 4.8k 1.2× 1.1k 1.1× 1.0k 1.3× 303 0.6× 478 1.1× 10 5.8k
Darren A. Cusanovich United States 18 4.1k 1.0× 528 0.6× 818 1.0× 422 0.8× 278 0.7× 28 4.7k
Aaron T. L. Lun Australia 31 4.7k 1.2× 1.4k 1.5× 1.1k 1.3× 521 1.0× 514 1.2× 44 6.3k
Lena Christiansen United States 10 4.1k 1.0× 894 0.9× 930 1.1× 487 0.9× 440 1.0× 13 5.0k
Davide Risso United States 25 4.3k 1.0× 928 1.0× 1.1k 1.4× 398 0.7× 581 1.4× 47 6.0k
Carmen Bravo González‐Blas Belgium 14 3.4k 0.8× 1.2k 1.3× 783 1.0× 224 0.4× 671 1.6× 16 4.7k
Caleb A. Lareau United States 34 5.3k 1.3× 1.2k 1.2× 1.1k 1.4× 418 0.8× 650 1.5× 71 6.5k
Shuqiang Li United States 21 4.4k 1.1× 1.5k 1.5× 1.4k 1.7× 411 0.8× 852 2.0× 44 6.1k

Countries citing papers authored by Junyue Cao

Since Specialization
Citations

This map shows the geographic impact of Junyue 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 Junyue Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyue Cao more than expected).

Fields of papers citing papers by Junyue Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junyue 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 Junyue Cao. The network helps show where Junyue Cao may publish in the future.

Co-authorship network of co-authors of Junyue Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Junyue Cao. A scholar is included among the top collaborators of Junyue 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 Junyue Cao. Junyue Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abdulraouf, Abdulraouf, et al.. (2026). Organism-wide cellular dynamics and epigenomic remodeling in mammalian aging. Science. 391(6788). eadw6273–eadw6273.
2.
Chen, Qingfeng, et al.. (2024). Similarity-guided graph contrastive learning for lncRNA-disease association prediction. Journal of Molecular Biology. 437(6). 168609–168609. 3 indexed citations
3.
Chen, Qingfeng, et al.. (2023). Hepatocellular carcinoma subtypes based on metabolic pathways reveals potential therapeutic targets. Frontiers in Oncology. 13. 1086604–1086604. 6 indexed citations
4.
Zhou, Wei, et al.. (2023). Dissecting key regulators of transcriptome kinetics through scalable single-cell RNA profiling of pooled CRISPR screens. Nature Biotechnology. 42(8). 1218–1223. 26 indexed citations
5.
Anderson, Sonya, Abdulraouf Abdulraouf, Andrew Liao, et al.. (2023). A global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains. Nature Genetics. 55(12). 2104–2116. 30 indexed citations
6.
Anderson, Sonya, Zehao Zhang, Zihan Xu, et al.. (2023). Tracking cell-type-specific temporal dynamics in human and mouse brains. Cell. 186(20). 4345–4364.e24. 21 indexed citations
7.
Zhong, Yu, Dana M. Niedowicz, Donna M. Wilcock, et al.. (2023). A high‐throughput single‐cell RNA expression profiling method identifies human pericyte markers. Neuropathology and Applied Neurobiology. 49(6). e12942–e12942. 10 indexed citations
8.
Martin, Beth, Chengxiang Qiu, Eva K. Nichols, et al.. (2022). Optimized single-nucleus transcriptional profiling by combinatorial indexing. Nature Protocols. 18(1). 188–207. 61 indexed citations
9.
Pattwell, Siobhan S., Sonali Arora, Michael Zager, et al.. (2022). Oncogenic role of a developmentally regulated NTRK2 splice variant. Science Advances. 8(40). eabo6789–eabo6789. 3 indexed citations
10.
Qiu, Chengxiang, Junyue Cao, Beth Martin, et al.. (2022). Systematic reconstruction of cellular trajectories across mouse embryogenesis. Nature Genetics. 54(3). 328–341. 85 indexed citations
11.
Zhou, Wei, Daniel R. Melamed, Cindy Meyer, et al.. (2021). Expanding the binding specificity for RNA recognition by a PUF domain. Nature Communications. 12(1). 5107–5107. 9 indexed citations
12.
Cao, Junyue. (2020). sci-RNA-seq3 processing pipeline. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Cao, Junyue, Wei Zhou, Frank J. Steemers, Cole Trapnell, & Jay Shendure. (2020). Sci-fate characterizes the dynamics of gene expression in single cells. Nature Biotechnology. 38(8). 980–988. 105 indexed citations
14.
Domcke, Silvia, Andrew J. Hill, Riza M. Daza, et al.. (2020). A human cell atlas of fetal chromatin accessibility. Science. 370(6518). 230 indexed citations
15.
Cao, Junyue, Diana R. O’Day, Hannah A. Pliner, et al.. (2020). A human cell atlas of fetal gene expression. Science. 370(6518). 383 indexed citations breakdown →
16.
Srivatsan, Sanjay, José L. McFaline‐Figueroa, Vijay Ramani, et al.. (2019). Massively multiplex chemical transcriptomics at single-cell resolution. Science. 367(6473). 45–51. 198 indexed citations
17.
Cao, Junyue, Darren A. Cusanovich, Vijay Ramani, et al.. (2018). Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science. 361(6409). 1380–1385. 585 indexed citations breakdown →
18.
Cao, Junyue, Jonathan S. Packer, Vijay Ramani, et al.. (2017). Comprehensive single-cell transcriptional profiling of a multicellular organism. Science. 357(6352). 661–667. 896 indexed citations breakdown →
19.
Dai, Siyuan, Zijian Tang, Junyue Cao, et al.. (2014). Suppression of the HSF 1‐mediated proteotoxic stress response by the metabolic stress sensor AMPK. The EMBO Journal. 34(3). 275–293. 78 indexed citations
20.
Mittal, Amandeep, R. Balasubramanian, Junyue Cao, et al.. (2014). TOPOISOMERASE 6B is involved in chromatin remodelling associated with control of carbon partitioning into secondary metabolites and cell walls, and epidermal morphogenesis in Arabidopsis. Journal of Experimental Botany. 65(15). 4217–4239. 10 indexed citations

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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