Hang Huang

1.1k total citations
44 papers, 826 citations indexed

About

Hang Huang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hang Huang has authored 44 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hang Huang's work include Cancer-related molecular mechanisms research (11 papers), Catalytic C–H Functionalization Methods (7 papers) and Prostate Cancer Treatment and Research (7 papers). Hang Huang is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Catalytic C–H Functionalization Methods (7 papers) and Prostate Cancer Treatment and Research (7 papers). Hang Huang collaborates with scholars based in China, United States and Australia. Hang Huang's co-authors include Weiping Huang, Yang Yu, Fangyi Zhang, Hui Xie, Bing Cai, Xi Wang, Wei Chen, Wei Chen, Feng Wang and Ping Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Chemical Communications.

In The Last Decade

Hang Huang

41 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Huang China 20 471 350 194 116 70 44 826
Vikas Bhardwaj United States 18 427 0.9× 266 0.8× 172 0.9× 85 0.7× 181 2.6× 37 861
Yulia Maxuitenko United States 16 479 1.0× 119 0.3× 122 0.6× 70 0.6× 179 2.6× 46 775
Yang Ke China 12 314 0.7× 108 0.3× 171 0.9× 53 0.5× 86 1.2× 29 616
Emma Swettenham Australia 9 525 1.1× 212 0.6× 90 0.5× 56 0.5× 63 0.9× 9 732
Míriam Tarrado‐Castellarnau Spain 10 438 0.9× 248 0.7× 60 0.3× 76 0.7× 178 2.5× 13 664
Samriddhi Shukla India 19 729 1.5× 210 0.6× 119 0.6× 140 1.2× 208 3.0× 26 1.1k
Weizhi Ge China 12 457 1.0× 307 0.9× 85 0.4× 237 2.0× 80 1.1× 12 660
Min Lv China 13 376 0.8× 168 0.5× 67 0.3× 69 0.6× 69 1.0× 25 598
Santiago Díaz‐Moralli Spain 10 445 0.9× 222 0.6× 46 0.2× 64 0.6× 139 2.0× 11 679
Qiang Tan China 21 719 1.5× 397 1.1× 104 0.5× 80 0.7× 127 1.8× 48 1.1k

Countries citing papers authored by Hang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Huang. A scholar is included among the top collaborators of Hang 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 Hang Huang. Hang 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
3.
Huang, Hang, et al.. (2023). Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study. JMIR Public Health and Surveillance. 9. e44647–e44647. 2 indexed citations
4.
Ji, Xiaowei, Qi Lin, Hang Huang, et al.. (2023). Status of 18F-PSMA-1007-PET/CT compared with multiparametric MRI in preoperative evaluation of prostate cancer. World Journal of Urology. 41(4). 1017–1024. 4 indexed citations
5.
Li, Quan, Pan Zhang, Hang Huang, et al.. (2022). The DDR-related gene signature with cell cycle checkpoint function predicts prognosis, immune activity, and chemoradiotherapy response in lung adenocarcinoma. Respiratory Research. 23(1). 190–190. 10 indexed citations
6.
Zheng, Xiaoxiao, Yisong Yu, Li Zheng, et al.. (2022). Renal cell carcinoma-derived exosomes deliver lncARSR to induce macrophage polarization and promote tumor progression via STAT3 pathway. International Journal of Biological Sciences. 18(8). 3209–3222. 77 indexed citations
7.
Huang, Hang, et al.. (2021). Isoalantolactone Increases the Sensitivity of Prostate Cancer Cells to Cisplatin Treatment by Inducing Oxidative Stress. Frontiers in Cell and Developmental Biology. 9. 632779–632779. 20 indexed citations
8.
Huang, Hang, et al.. (2021). The influence of lncRNAs on the prognosis of prostate cancer based on TCGA database. Translational Andrology and Urology. 10(3). 1302–1313. 9 indexed citations
9.
Huang, Hang, et al.. (2021). Significance of TP53 and immune-related genes to prostate cancer. Translational Andrology and Urology. 10(4). 1754–1768. 9 indexed citations
10.
Huang, Hang, et al.. (2020). CircRNA_0058063 functions as a ceRNA in bladder cancer progression via targeting miR-486-3p/FOXP4 axis. Bioscience Reports. 40(3). 30 indexed citations
11.
Chen, Wei, Zhixian Yu, Weiping Huang, et al.. (2020). <p>LncRNA LINC00665 Promotes Prostate Cancer Progression via miR-1224-5p/SND1 Axis</p>. OncoTargets and Therapy. Volume 13. 2527–2535. 39 indexed citations
12.
Yu, Yang, Feng Wang, Hang Huang, et al.. (2019). <p>lncRNA SLCO4A1-AS1 promotes growth and invasion of bladder cancer through sponging miR-335-5p to upregulate OCT4</p>. OncoTargets and Therapy. Volume 12. 1351–1358. 33 indexed citations
13.
Xie, Hui, et al.. (2018). LncRNA miR143HG suppresses bladder cancer development through inactivating Wnt/β‐catenin pathway by modulating miR‐1275/AXIN2 axis. Journal of Cellular Physiology. 234(7). 11156–11164. 44 indexed citations
14.
Xie, Jing, et al.. (2018). Knockdown of MAGEA6 Activates AMP-Activated Protein Kinase (AMPK) Signaling to Inhibit Human Renal Cell Carcinoma Cells. Cellular Physiology and Biochemistry. 45(3). 1205–1218. 21 indexed citations
15.
Huang, Hang, et al.. (2018). LncRNA THOR promotes human renal cell carcinoma cell growth. Biochemical and Biophysical Research Communications. 501(3). 661–667. 41 indexed citations
16.
Chen, Wei, Ping Li, Yi Liu, et al.. (2018). Isoalantolactone induces apoptosis through ROS-mediated ER stress and inhibition of STAT3 in prostate cancer cells. Journal of Experimental & Clinical Cancer Research. 37(1). 309–309. 68 indexed citations
17.
Wang, Feng, Yu‐Shih Yang, Hang Huang, et al.. (2018). The application of a single-use fiberoptic flexible ureteroscope for the management of upper urinary calculi. International Urology and Nephrology. 50(7). 1235–1241. 8 indexed citations
18.
Huang, Hang, et al.. (2017). Mitochondrial transfer RNA mutations and male infertility. Biomedical Research-tokyo. 28(11). 4908–4912. 1 indexed citations
19.
Ding, Wei, et al.. (2017). Long noncoding RNA linc00346 promotes the malignant phenotypes of bladder cancer. Biochemical and Biophysical Research Communications. 491(1). 79–84. 31 indexed citations
20.
Huang, Hang & Bing Cai. (2013). G84E mutation in HOXB13 is firmly associated with prostate cancer risk: a meta-analysis. Tumor Biology. 35(2). 1177–1182. 29 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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