Da Huang

403 total citations
23 papers, 310 citations indexed

About

Da Huang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Da Huang has authored 23 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Da Huang's work include Ubiquitin and proteasome pathways (6 papers), Cancer Mechanisms and Therapy (3 papers) and Epigenetics and DNA Methylation (3 papers). Da Huang is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Cancer Mechanisms and Therapy (3 papers) and Epigenetics and DNA Methylation (3 papers). Da Huang collaborates with scholars based in China and Ethiopia. Da Huang's co-authors include Leifeng Chen, Jianghua Shao, Rongfa Yuan, Ming Li, Liang Hao, Haibin Hao, Yumin Qiu, Tiande Liu, Fang Li and Jiao Liu and has published in prestigious journals such as Cancer Research, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Da Huang

22 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da Huang China	11	256	118	75	38	36	23	310
Alexandra McMellen United States	7	237 0.9×	115 1.0×	96 1.3×	26 0.7×	29 0.8×	12	327
Jinxue Tong China	9	270 1.1×	138 1.2×	90 1.2×	27 0.7×	25 0.7×	19	347
Verónica Moncho-Amor Spain	8	263 1.0×	128 1.1×	96 1.3×	22 0.6×	34 0.9×	15	366
Mianen Sun United States	8	279 1.1×	106 0.9×	108 1.4×	35 0.9×	26 0.7×	17	357
Alexander E. Kudinov United States	5	235 0.9×	94 0.8×	70 0.9×	25 0.7×	24 0.7×	6	314
Junyu Tan China	8	269 1.1×	102 0.9×	95 1.3×	39 1.0×	23 0.6×	11	348
Shinya Kidogami Japan	12	236 0.9×	114 1.0×	66 0.9×	58 1.5×	24 0.7×	26	321
Ahlima Roumane United Kingdom	5	233 0.9×	114 1.0×	62 0.8×	20 0.5×	18 0.5×	7	294
Yue-Yang Lei China	4	353 1.4×	230 1.9×	94 1.3×	30 0.8×	23 0.6×	4	427

Countries citing papers authored by Da Huang

Since Specialization

Citations

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

Fields of papers citing papers by Da Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Huang

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

All Works

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20 of 20 papers shown

Liu, Yi, Jiheng Zhang, Yongqiang Yu, et al.. (2025). Intelligent larval zebrafish phenotype recognition via attention mechanism for high-throughput screening. Computers in Biology and Medicine. 188. 109892–109892. 2 indexed citations

Guo, Yuxuan, Da Huang, Jing Yang, et al.. (2025). Dual roles of GM-CSF in breast cancer: Immunomodulation and therapeutic implications. Critical Reviews in Oncology/Hematology. 214. 104804–104804. 1 indexed citations

Xie, Peiyi, Hui Wang, Bo Zhang, et al.. (2024). GOLM1 dictates acquired Lenvatinib resistance by a GOLM1-CSN5 positive feedback loop upon EGFR signaling activation in hepatocellular carcinoma. Oncogene. 43(42). 3108–3120. 3 indexed citations

Gong, Yiyang, Yanting Zhu, Jingying Pan, et al.. (2024). PVALB Was Identified as an Independent Prognostic Factor for HCC Closely Related to Immunity, and Its Absence Accelerates Tumor Progression by Regulating NK Cell Infiltration. Journal of Hepatocellular Carcinoma. Volume 11. 813–838. 2 indexed citations

Zeng, Hong, Xiaoyu Qu, Shengwei Tang, et al.. (2024). A Molecular Signature of the Ubiquitin-Proteasome System for Forecasting Prognosis in Thyroid Carcinoma Patients. Journal of Inflammation Research. Volume 17. 10397–10419.

Chen, Wanzhi, et al.. (2023). Effect of silencing CITED1 gene to regulate PI3K/AKT pathway on the biological function of PTC cells and its mechanism. Cellular and Molecular Biology. 69(9). 113–117. 3 indexed citations

Zeng, Hong, et al.. (2023). GLIPR2 emerges as a potential predictor of prognosis for renal clear cell carcinoma, exhibiting substantial relevance with cellular metastasis and CD8+ T cell infiltration. Informatics in Medicine Unlocked. 49. 101371–101371. 1 indexed citations

Xie, Peiyi, et al.. (2021). The deubiquitinase OTUB1 fosters papillary thyroid carcinoma growth through EYA1 stabilization. Journal of Cellular and Molecular Medicine. 25(23). 10980–10989. 6 indexed citations

Liao, Zhiming, et al.. (2021). LncRNA FTX Promotes Colorectal Cancer Cells Migration and Invasion by miRNA-590-5p/RBPJ Axis. Biochemical Genetics. 59(2). 560–573. 28 indexed citations

10.

Xie, Peiyi, Yanglin Chen, Hongfei Zhang, et al.. (2021). The deubiquitinase OTUD3 stabilizes ACTN4 to drive growth and metastasis of hepatocellular carcinoma. Aging. 13(15). 19317–19338. 21 indexed citations

11.

Chen, Wanzhi, et al.. (2021). KMT2B promotes SHPRH expression to regulate 131I sensitivity in thyroid carcinoma cells by affecting FYN protein stability. Cellular Signalling. 88. 110165–110165. 1 indexed citations

12.

Huang, Da, Fan Xiao, Haibin Hao, et al.. (2020). JARID1B promotes colorectal cancer proliferation and Wnt/β-catenin signaling via decreasing CDX2 level. Cell Communication and Signaling. 18(1). 169–169. 20 indexed citations

13.

Xie, Peiyi, Hui Wang, Jing Xie, et al.. (2020). USP7 promotes proliferation of papillary thyroid carcinoma cells through TBX3-mediated p57KIP2 repression. Molecular and Cellular Endocrinology. 518. 111037–111037. 11 indexed citations

14.

Yi, Xuan, Da Huang, Peng Liu, et al.. (2020). ROCK2 mediates osteosarcoma progression and TRAIL resistance by modulating O-GlcNAc transferase degradation.. PubMed. 10(3). 781–798. 20 indexed citations

15.

Xie, Peiyi, Hui Wang, Ze Tian, et al.. (2020). CSN5 Promotes Carcinogenesis of Thyroid Carcinoma Cells Through ANGPTL2. Endocrinology. 162(3). 10 indexed citations

16.

Wang, Wei, et al.. (2016). Targeting PCDH20 gene by microRNA-122 confers 5-FU resistance in hepatic carcinoma.. PubMed. 6(8). 1681–94. 14 indexed citations

17.

Liu, Xiuxia, Leifeng Chen, Ge Jin, et al.. (2016). The Ubiquitin-like Protein FAT10 Stabilizes eEF1A1 Expression to Promote Tumor Proliferation in a Complex Manner. Cancer Research. 76(16). 4897–4907. 61 indexed citations

18.

Li, Ming, Wei Zhou, Rongfa Yuan, et al.. (2015). ROCK2 promotes HCC proliferation by CEBPD inhibition through phospho‐GSK3β/β‐catenin signaling. FEBS Letters. 589(9). 1018–1025. 26 indexed citations

19.

Qiu, Yumin, Rongfa Yuan, Shouhua Zhang, et al.. (2015). Rock2 stabilizes β-catenin to promote tumor invasion and metastasis in colorectal cancer. Biochemical and Biophysical Research Communications. 467(4). 629–637. 19 indexed citations

20.

Huang, Da, Xiaohong Du, Rongfa Yuan, et al.. (2014). Rock2 promotes the invasion and metastasis of hepatocellular carcinoma by modifying MMP2 ubiquitination and degradation. Biochemical and Biophysical Research Communications. 453(1). 49–56. 40 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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