Chuan Gao

2.8k total citations
28 papers, 1.1k citations indexed

About

Chuan Gao is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Chuan Gao has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in Chuan Gao's work include RNA modifications and cancer (6 papers), Cancer-related gene regulation (6 papers) and Protein Degradation and Inhibitors (4 papers). Chuan Gao is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related gene regulation (6 papers) and Protein Degradation and Inhibitors (4 papers). Chuan Gao collaborates with scholars based in United States, China and Belgium. Chuan Gao's co-authors include Kirsten C. Sadler, Barbara E. Engelhardt, Ayca Cinaroglu, Ian C. McDowell, S. S. Moore, Jan Aerts, Curtis P. Van Tassell, C. A. Gill, Lakshmi K. Matukumalli and Robert D. Schnabel and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Chuan Gao

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chuan Gao United States	15	586	443	144	143	112	28	1.1k
Bethan Pritchard United Kingdom	4	818 1.4×	586 1.3×	212 1.5×	153 1.1×	303 2.7×	5	1.5k
Kunzhe Dong China	20	614 1.0×	323 0.7×	286 2.0×	91 0.6×	157 1.4×	46	1.1k
Swarnaseetha Adusumalli Singapore	7	624 1.1×	408 0.9×	115 0.8×	45 0.3×	109 1.0×	8	1.1k
Maurizia Caruso Italy	20	1.1k 1.9×	258 0.6×	102 0.7×	100 0.7×	66 0.6×	30	1.4k
Harry J. Mangalam United States	7	984 1.7×	447 1.0×	127 0.9×	41 0.3×	60 0.5×	10	1.5k
Marta Grzelak United Kingdom	7	1.1k 1.8×	155 0.3×	361 2.5×	41 0.3×	123 1.1×	8	1.5k
Andrey Alexeyenko Sweden	20	912 1.6×	154 0.3×	180 1.3×	114 0.8×	116 1.0×	42	1.4k
Zhuying Wei China	17	478 0.8×	188 0.4×	79 0.5×	44 0.3×	32 0.3×	53	707
Benoı̂t Roger France	12	875 1.5×	149 0.3×	87 0.6×	155 1.1×	75 0.7×	19	1.2k

Countries citing papers authored by Chuan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Chuan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Gao. A scholar is included among the top collaborators of Chuan Gao 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 Chuan Gao. Chuan Gao 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

Huang, Hao, Xinlu Li, Chuan Gao, et al.. (2025). FTO regulates ELK3-mediated metabolic rewiring and represents a unique therapeutic target in T cell leukemia. Science Advances. 11(22). eadq3052–eadq3052.

Chen, Xianwei, Yanfeng Li, Jin Xu, et al.. (2024). Styxl2 regulates de novo sarcomere assembly by binding to non-muscle myosin IIs and promoting their degradation. eLife. 12. 1 indexed citations

Chen, Xianwei, Yanfeng Li, Jin Xu, et al.. (2023). Styxl2 regulates de novo sarcomere assembly by binding to non-muscle myosin IIs and promoting their degradation. eLife. 12.

Yan, Chaojun, Zirui Zhou, Qifang Li, et al.. (2023). A cleaved METTL3 potentiates the METTL3–WTAP interaction and breast cancer progression. eLife. 12. 6 indexed citations

Yu, Yongjun, et al.. (2023). KRTA6AandFA2HAre Hub Genes Associated With Cgas-STING-related Immunogenic Cell Death in Lung Adenocarcinoma. Cancer Genomics & Proteomics. 20(5). 476–486.

Yan, Chaojun, Zirui Zhou, Qifang Li, et al.. (2023). A cleaved METTL3 potentiates the METTL3–WTAP interaction and breast cancer progression. eLife. 12. 10 indexed citations

Wang, Chen‐Yu, Guang‐Tao Yu, Chuan Gao, et al.. (2021). Genome-Wide Enhancer Analysis Reveals the Role of AP-1 Transcription Factor in Head and Neck Squamous Cell Carcinoma. Frontiers in Molecular Biosciences. 8. 701531–701531. 8 indexed citations

Wang, Chen‐Yu, Chuan Gao, Qiong Xiao, et al.. (2021). MLL3 suppresses tumorigenesis through regulating TNS3 enhancer activity. Cell Death and Disease. 12(4). 364–364. 14 indexed citations

Li, Qinglan, Lingao Ju, Jie Yao, et al.. (2019). The hyper-activation of transcriptional enhancers in breast cancer. Clinical Epigenetics. 11(1). 48–48. 47 indexed citations

10.

Long, Qiaoyun, Qiong Xiao, Chuan Gao, et al.. (2019). Histone demethylase KDM3A is required for enhancer activation of hippo target genes in colorectal cancer. Nucleic Acids Research. 47(5). 2349–2364. 48 indexed citations

11.

Saha, Ashis, Yungil Kim, Ariel DH Gewirtz, et al.. (2017). Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Research. 27(11). 1843–1858. 102 indexed citations

12.

Meyers-Wallen, Vicki N., Adam R. Boyko, Charles G. Danko, et al.. (2017). XX Disorder of Sex Development is associated with an insertion on chromosome 9 and downregulation of RSPO1 in dogs (Canis lupus familiaris). PLoS ONE. 12(10). e0186331–e0186331. 13 indexed citations

13.

Zhao, Shiwen, Chuan Gao, Sayan Mukherjee, & Barbara E. Engelhardt. (2016). Bayesian group factor analysis with structured sparsity.. Journal of Machine Learning Research. 17(1). 6868–6914. 27 indexed citations

14.

Gao, Chuan, Ian C. McDowell, Shiwen Zhao, Andrew Brown, & Barbara E. Engelhardt. (2016). Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering. PLoS Computational Biology. 12(7). e1004791–e1004791. 34 indexed citations

15.

Gao, Chuan, Li Jan Lo, Yue Luo, et al.. (2012). Sec13 safeguards the integrity of the endoplasmic reticulum and organogenesis of the digestive system in zebrafish. Developmental Biology. 367(2). 197–207. 29 indexed citations

16.

Cinaroglu, Ayca, et al.. (2011). Activating transcription factor 6 plays protective and pathological roles in steatosis due to endoplasmic reticulum stress in zebrafish. Hepatology. 54(2). 495–508. 102 indexed citations

17.

Zhao, Xiao, Chuan Gao, Valerie Gouon–Evans, et al.. (2010). Klf6/copeb is required for hepatic outgrowth in zebrafish and for hepatocyte specification in mouse ES cells. Developmental Biology. 344(1). 79–93. 31 indexed citations

18.

McKay, Stephanie, Robert D. Schnabel, Brenda M. Murdoch, et al.. (2008). An assessment of population structure in eight breeds of cattle using a whole genome SNP panel. BMC Genetics. 9(1). 37–37. 102 indexed citations

19.

McKay, Stephanie, Robert D. Schnabel, Brenda M. Murdoch, et al.. (2007). Whole genome linkage disequilibrium maps in cattle. BMC Genetics. 8(1). 74–74. 198 indexed citations

20.

McKay, Stephanie, Robert D. Schnabel, Brenda M. Murdoch, et al.. (2007). Construction of bovine whole‐genome radiation hybrid and linkage maps using high‐throughput genotyping. Animal Genetics. 38(2). 120–125. 31 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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