Zhao Huang

6.3k total citations · 7 hit papers
60 papers, 4.1k citations indexed

About

Zhao Huang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zhao Huang has authored 60 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 21 papers in Oncology and 16 papers in Cancer Research. Recurrent topics in Zhao Huang's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Autophagy in Disease and Therapy (6 papers). Zhao Huang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Autophagy in Disease and Therapy (6 papers). Zhao Huang collaborates with scholars based in China, Australia and United States. Zhao Huang's co-authors include Canhua Huang, Edouard C. Nice, Na Xie, Li Fu, Wei Gao, Li Zhou, Guobo Shen, Yong Peng, Siyuan Qin and Bowen Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Zhao Huang

59 papers receiving 4.0k citations

Hit Papers

Neoantigens: promising targets for cancer t... 2020 2026 2022 2024 2023 2020 2023 2021 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhao Huang China 28 2.1k 1.2k 931 573 507 60 4.1k
Wei Qiu China 40 2.5k 1.2× 1.1k 0.9× 860 0.9× 691 1.2× 449 0.9× 112 4.3k
Shengli Yang China 33 2.0k 1.0× 845 0.7× 1.0k 1.1× 480 0.8× 429 0.8× 167 4.0k
Xiao Zhu China 39 3.1k 1.5× 1.7k 1.4× 1.2k 1.3× 759 1.3× 557 1.1× 136 5.5k
Wei Yan China 39 3.2k 1.5× 974 0.8× 736 0.8× 705 1.2× 297 0.6× 118 4.6k
Ying Zhang China 40 3.5k 1.6× 1.2k 1.0× 1.8k 1.9× 637 1.1× 455 0.9× 258 6.2k
Emilia Wiecheć Sweden 29 2.1k 1.0× 815 0.7× 1.1k 1.1× 321 0.6× 383 0.8× 46 3.7k
Tao Ning China 33 2.5k 1.2× 1.6k 1.4× 835 0.9× 580 1.0× 413 0.8× 151 4.4k
Bin Yan China 38 2.8k 1.3× 1.5k 1.3× 899 1.0× 692 1.2× 294 0.6× 179 4.9k
Muzafar A. Macha India 35 2.4k 1.1× 1.2k 1.0× 1.2k 1.3× 508 0.9× 283 0.6× 90 4.0k
Xi Yang China 33 2.1k 1.0× 1.2k 1.1× 826 0.9× 321 0.6× 291 0.6× 197 4.2k

Countries citing papers authored by Zhao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Huang. A scholar is included among the top collaborators of Zhao 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 Zhao Huang. Zhao 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.
Jin, Ping, Zhao Huang, Yuan Dong, et al.. (2025). Nuclear receptors in health and disease: signaling pathways, biological functions and pharmaceutical interventions. Signal Transduction and Targeted Therapy. 10(1). 228–228. 2 indexed citations
2.
He, Bo, Zhao Huang, Siyuan Qin, et al.. (2024). Enhanced SLC35B2/SAV1 sulfation axis promotes tumor growth by inhibiting Hippo signaling in HCC. Hepatology. 81(2). 436–452. 2 indexed citations
3.
Huang, Zhao & Wei Zhao. (2024). KMT2C/D deficiency promotes breast cancer metastasis by regulating KDM6A‐mediated epigenetic remodeling. SHILAP Revista de lepidopterología. 3(4).
4.
Huang, Zhao, Li Zhou, Jiufei Duan, et al.. (2024). Oxidative Stress Promotes Liver Cancer Metastasis via RNF25‐Mediated E‐Cadherin Protein Degradation. Advanced Science. 11(13). e2306929–e2306929. 19 indexed citations
5.
Jiang, Jingwen, Hai‐Ning Chen, Ping Jin, et al.. (2023). Targeting PSAT1 to mitigate metastasis in tumors with p53-72Pro variant. Signal Transduction and Targeted Therapy. 8(1). 65–65. 27 indexed citations
6.
Li, Bowen, Hui Ming, Siyuan Qin, et al.. (2023). HSPA8 Activates Wnt/β‐Catenin Signaling to Facilitate BRAF V600E Colorectal Cancer Progression by CMA‐Mediated CAV1 Degradation. Advanced Science. 11(3). e2306535–e2306535. 21 indexed citations
7.
8.
Qin, Siyuan, Zhe Zhang, Zhao Huang, et al.. (2022). CCT251545 enhances drug delivery and potentiates chemotherapy in multidrug-resistant cancers by Rac1-mediated macropinocytosis. Drug Resistance Updates. 66. 100906–100906. 12 indexed citations
9.
Zhang, Yi, Qiong Li, Zhao Huang, et al.. (2022). Targeting Glucose Metabolism Enzymes in Cancer Treatment: Current and Emerging Strategies. Cancers. 14(19). 4568–4568. 88 indexed citations
10.
Jin, Ping, Jingwen Jiang, Li Zhou, et al.. (2022). Mitochondrial adaptation in cancer drug resistance: prevalence, mechanisms, and management. Journal of Hematology & Oncology. 15(1). 97–97. 152 indexed citations breakdown →
11.
Ye, Qin, Li Zhou, Ping Jin, et al.. (2021). Guaiazulene Triggers ROS-Induced Apoptosis and Protective Autophagy in Non-small Cell Lung Cancer. Frontiers in Pharmacology. 12. 621181–621181. 12 indexed citations
12.
Huang, Zhao, Na Xie, Péter Illés, et al.. (2021). From purines to purinergic signalling: molecular functions and human diseases. Signal Transduction and Targeted Therapy. 6(1). 162–162. 287 indexed citations breakdown →
13.
Lv, You, et al.. (2019). Electrocrystallization process of manganese oxide in graphene hydrogel. Electrochimica Acta. 321. 134661–134661. 2 indexed citations
14.
Zhou, Li, et al.. (2019). Molecular insights into cancer drug resistance from a proteomics perspective. Expert Review of Proteomics. 16(5). 413–429. 23 indexed citations
15.
Chen, Yan, Hai‐Ning Chen, Kui Wang, et al.. (2018). Ketoconazole exacerbates mitophagy to induce apoptosis by downregulating cyclooxygenase-2 in hepatocellular carcinoma. Journal of Hepatology. 70(1). 66–77. 155 indexed citations
16.
Jiang, Lan, Zhao Huang, Junhong Han, Jichun Shao, & Canhua Huang. (2018). Redox regulation of microRNAs in cancer. Cancer Letters. 418. 250–259. 40 indexed citations
17.
Chen, Hai‐Ning, Kefei Yuan, Na Xie, et al.. (2016). PDLIM1 Stabilizes the E-Cadherin/β-Catenin Complex to Prevent Epithelial–Mesenchymal Transition and Metastatic Potential of Colorectal Cancer Cells. Cancer Research. 76(5). 1122–1134. 93 indexed citations
18.
Dou, Qianhui, Hai‐Ning Chen, Kui Wang, et al.. (2016). Ivermectin Induces Cytostatic Autophagy by Blocking the PAK1/Akt Axis in Breast Cancer. Cancer Research. 76(15). 4457–4469. 191 indexed citations
19.
Chen, Gang, Jing Hu, Zhao Huang, Lijing Yang, & Min Chen. (2016). MicroRNA-1976 functions as a tumor suppressor and serves as a prognostic indicator in non-small cell lung cancer by directly targeting PLCE1. Biochemical and Biophysical Research Communications. 473(4). 1144–1151. 27 indexed citations
20.
Mujoo, Kalpana, Byung-Kwon Choi, Zhao Huang, Ningyan Zhang, & Zhiqiang An. (2014). Regulation of ERBB3/HER3 signaling in cancer. Oncotarget. 5(21). 10222–10236. 83 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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