Hao Huang

7.6k total citations
81 papers, 3.1k citations indexed

About

Hao Huang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hao Huang has authored 81 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 19 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Hao Huang's work include Aquaculture Nutrition and Growth (11 papers), Bone Metabolism and Diseases (11 papers) and Cancer-related molecular mechanisms research (9 papers). Hao Huang is often cited by papers focused on Aquaculture Nutrition and Growth (11 papers), Bone Metabolism and Diseases (11 papers) and Cancer-related molecular mechanisms research (9 papers). Hao Huang collaborates with scholars based in China, United States and South Korea. Hao Huang's co-authors include Hong‐Hee Kim, Hyung Joon Kim, Eun-Ju Chang, Jianjun Chen, Jianhai Xiang, Zang Hee Lee, Daniela Matei, Horacio Cárdenas, Yang Yu and HH Kim and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hao Huang

77 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Huang China 30 2.1k 900 574 519 277 81 3.1k
Lin Tang China 26 1.4k 0.6× 679 0.8× 337 0.6× 336 0.6× 43 0.2× 142 2.4k
Xiaoling Song China 32 3.0k 1.4× 777 0.9× 1.5k 2.6× 1.3k 2.4× 249 0.9× 79 4.6k
Hui Xue China 38 2.2k 1.0× 1.3k 1.4× 708 1.2× 615 1.2× 82 0.3× 135 4.2k
Hongwei Liang China 35 2.2k 1.0× 2.0k 2.2× 210 0.4× 410 0.8× 156 0.6× 110 3.2k
Rakesh Kumar India 34 1.9k 0.9× 404 0.4× 741 1.3× 223 0.4× 177 0.6× 107 3.2k
Yi Qin China 19 2.9k 1.4× 2.0k 2.2× 223 0.4× 206 0.4× 136 0.5× 42 3.8k
Mauro S.G. Pavão Brazil 31 1.2k 0.6× 373 0.4× 175 0.3× 241 0.5× 776 2.8× 81 3.2k
Michael P. Verzi United States 35 2.5k 1.2× 402 0.4× 786 1.4× 235 0.5× 60 0.2× 92 3.7k
Deborah J. Veis United States 22 2.3k 1.1× 407 0.5× 707 1.2× 1.1k 2.2× 25 0.1× 43 4.0k

Countries citing papers authored by Hao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Huang. A scholar is included among the top collaborators of Hao 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 Hao Huang. Hao Huang 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.
Huang, Hao, Ying Xu, Miaomiao Zhang, et al.. (2025). Irradiation-responsive PRDM10-DT modulates the angiogenic response in human NSCLC cells in an SP1-dependent manner via the miR-663a/TGF-β1 axis. Journal of Translational Medicine. 23(1). 235–235.
2.
Huang, Hao, et al.. (2024). Epigenetic contribution to cancer. International review of cell and molecular biology. 387. 1–25. 3 indexed citations
3.
Huang, Hao, Horacio Cárdenas, Ping Xie, et al.. (2024). Comparative transcriptomic, epigenomic and immunological analyses identify drivers of disparity in high-grade serous ovarian cancer. npj Genomic Medicine. 9(1). 64–64. 3 indexed citations
4.
Huang, Hao, et al.. (2023). N6-Methyladenosine RNA Modifications Regulate the Response to Platinum Through Nicotinamide N-methyltransferase. Molecular Cancer Therapeutics. 22(3). 393–405. 12 indexed citations
5.
Zhang, Yaqi, et al.. (2022). DOT1 L Regulates Ovarian Cancer Stem Cells by Activating β-catenin Signaling. Molecular Cancer Research. 21(2). 140–154. 9 indexed citations
6.
Zhao, Guangyuan, Yuying Tan, Horacio Cárdenas, et al.. (2022). Ovarian cancer cell fate regulation by the dynamics between saturated and unsaturated fatty acids. Proceedings of the National Academy of Sciences. 119(41). e2203480119–e2203480119. 53 indexed citations
7.
Xiong, Dan, et al.. (2021). Ezrin Promotes the Proliferation, Migration, and Invasion of Ovarian Cancer Cells.. PubMed. 34(2). 139–151. 15 indexed citations
8.
Huang, Hao, Yinu Wang, Manoj Kandpal, et al.. (2020). FTO-Dependent N 6 -Methyladenosine Modifications Inhibit Ovarian Cancer Stem Cell Self-Renewal by Blocking cAMP Signaling. Cancer Research. 80(16). 3200–3214. 149 indexed citations
9.
Wang, Yinu, Guangyuan Zhao, Salvatore Condello, et al.. (2020). Frizzled-7 Identifies Platinum-Tolerant Ovarian Cancer Cells Susceptible to Ferroptosis. Cancer Research. 81(2). 384–399. 175 indexed citations
11.
Yu, Yang, Quanchao Wang, Qian Zhang, et al.. (2019). Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei. Marine Biotechnology. 21(3). 374–383. 52 indexed citations
12.
Huang, Hao, Ying Chen, Xiufeng Zheng, et al.. (2018). The Role of NADPH Oxidase in the Inhibition of Trichophyton rubrum by 420-nm Intense Pulsed Light. Frontiers in Microbiology. 8. 2636–2636. 14 indexed citations
13.
Fang, Fang, Horacio Cárdenas, Hao Huang, et al.. (2017). Genomic and Epigenomic Signatures in Ovarian Cancer Associated with Resensitization to Platinum Drugs. Cancer Research. 78(3). 631–644. 78 indexed citations
14.
Wang, Quanchao, Yang Yu, Jianbo Yuan, et al.. (2017). Effects of marker density and population structure on the genomic prediction accuracy for growth trait in Pacific white shrimp Litopenaeus vannamei. BMC Genetics. 18(1). 45–45. 77 indexed citations
15.
Li, Zejuan, Ping Chen, Rui Su, et al.. (2016). PBX3 and MEIS1 Cooperate in Hematopoietic Cells to Drive Acute Myeloid Leukemias Characterized by a Core Transcriptome of the MLL -Rearranged Disease. Cancer Research. 76(3). 619–629. 48 indexed citations
16.
Huang, Hao, et al.. (2009). IL-17 stimulates the proliferation and differentiation of human mesenchymal stem cells: implications for bone remodeling. Cell Death and Differentiation. 16(10). 1332–1343. 217 indexed citations
17.
Huang, Hao, et al.. (2008). A genome-wide microarray analysis reveals anti-inflammatory target genes of paeonol in macrophages. Inflammation Research. 57(4). 189–198. 59 indexed citations
18.
Ryu, Jiyoon, Hyung Joon Kim, Eun-Ju Chang, et al.. (2006). Sphingosine 1‐phosphate as a regulator of osteoclast differentiation and osteoclast–osteoblast coupling. The EMBO Journal. 25(24). 5840–5851. 244 indexed citations
19.
Huang, Hao, Eun-Ju Chang, Ji‐Yoon Ryu, et al.. (2006). Induction of c-Fos and NFATc1 during RANKL-stimulated osteoclast differentiation is mediated by the p38 signaling pathway. Biochemical and Biophysical Research Communications. 351(1). 99–105. 150 indexed citations
20.
Lee, Seung Ku, Hao Huang, Soo Woong Lee, et al.. (2004). Involvement of iNOS-dependent NO production in the stimulation of osteoclast survival by TNF-α. Experimental Cell Research. 298(2). 359–368. 38 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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