Lin Huang

2.0k total citations · 1 hit paper
74 papers, 1.5k citations indexed

About

Lin Huang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lin Huang has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lin Huang's work include Natural product bioactivities and synthesis (6 papers), RNA Research and Splicing (6 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Lin Huang is often cited by papers focused on Natural product bioactivities and synthesis (6 papers), RNA Research and Splicing (6 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Lin Huang collaborates with scholars based in China, Japan and United States. Lin Huang's co-authors include Lianying Guo, Ting Zhang, Ken Matsumoto, Angui Li, Jing Wu, Jine Yi, Lijuan Zhu, Zheyu Shen, Wang Li and Jie Feng and has published in prestigious journals such as Advanced Materials, ACS Nano and Gastroenterology.

In The Last Decade

Lin Huang

68 papers receiving 1.5k citations

Hit Papers

A strategy of “adding fuel to the flames” enables a self-... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A strategy of “adding fuel to the flames” enables a self-accelerating cycle of ferroptosis-cuproptosis for potent antitumor therapy
    2024 53 citations Lin Huang, Jiaoyang Zhu et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Huang China 24 830 283 213 199 169 74 1.5k
Jiale Wang China 21 887 1.1× 325 1.1× 93 0.4× 175 0.9× 107 0.6× 109 1.6k
Aihua Huang China 17 721 0.9× 306 1.1× 159 0.7× 254 1.3× 61 0.4× 51 1.6k
Zhiwen Cao China 15 726 0.9× 186 0.7× 164 0.8× 104 0.5× 92 0.5× 40 1.5k
Wenjian Ma China 25 988 1.2× 341 1.2× 106 0.5× 108 0.5× 147 0.9× 80 1.6k
Show‐Mei Chuang Taiwan 27 1.2k 1.4× 251 0.9× 160 0.8× 125 0.6× 140 0.8× 59 2.3k
Ancuța Jurj Romania 25 912 1.1× 569 2.0× 207 1.0× 114 0.6× 136 0.8× 72 1.7k
Wenjie Yu China 22 1.0k 1.3× 327 1.2× 182 0.9× 118 0.6× 288 1.7× 85 1.7k

Countries citing papers authored by Lin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Huang. A scholar is included among the top collaborators of Lin 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 Lin Huang. Lin 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, Lin, et al.. (2026). CircZBTB44-Encoded Peptide ZBTB44-342aa Alleviates Aortic Valve Calcification Via cGAS-STING Inhibition. Circulation Research. 138(3). e326771–e326771.
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Zhao, Shuyun, Shuai Hao, Xinran Chen, et al.. (2024). mTOR/miR-142-3p/PRAS40 signaling cascade is critical for tuberous sclerosis complex-associated renal cystogenesis. Cellular & Molecular Biology Letters. 29(1). 125–125. 1 indexed citations
7.
Yang, Jing, Wei Xiong, Jie Feng, et al.. (2024). Cyclic catalysis of intratumor Fe3+/2+ initiated by a hollow mesoporous iron sesquioxide nanoparticle for ferroptosis therapy of large tumors. Biomaterials. 313. 122793–122793. 20 indexed citations
8.
Guo, Shuai, Jie Feng, Lin Huang, et al.. (2024). MRI‐Guided Tumor Therapy Based on Synergy of Ferroptosis, Immunosuppression Reversal and Disulfidptosis. Small. 20(29). e2309842–e2309842. 25 indexed citations
9.
Huang, Lin, Jiaoyang Zhu, Wei Xiong, et al.. (2024). A strategy of “adding fuel to the flames” enables a self-accelerating cycle of ferroptosis-cuproptosis for potent antitumor therapy. Biomaterials. 311. 122701–122701. 53 indexed citations breakdown →
10.
Li, Haichang, et al.. (2024). Electroacupuncture at ST25 corrected gut microbial dysbiosis and SNpc lipid peroxidation in Parkinson’s disease rats. Frontiers in Microbiology. 15. 1358525–1358525. 7 indexed citations
11.
Zhang, Ting, Tianhua Zhang, Chuanzhou Gao, et al.. (2023). Antitumor Effects of β-Elemene Through Inducing Autophagy-Mediated Apoptosis in Ewing Sarcoma Family Tumor Cells. DNA and Cell Biology. 42(9). 532–540. 1 indexed citations
12.
Sun, Nan, et al.. (2023). Azospirillum brasilense activates peroxidase-mediated cell wall modification to inhibit root cell elongation. iScience. 26(7). 107144–107144. 6 indexed citations
13.
Yao, Guang, Chenhui Yin, Qian Wang, et al.. (2022). A programmable and skin temperature–activated electromechanical synergistic dressing for effective wound healing. Science Advances. 8(4). eabl8379–eabl8379. 103 indexed citations
14.
Zhang, Tianhua, Yuzhen Wang, Ting Zhang, et al.. (2022). PGK1 represses autophagy-mediated cell death to promote the proliferation of liver cancer cells by phosphorylating PRAS40. Cell Death and Disease. 13(1). 68–68. 17 indexed citations
15.
Pang, Yilin, Xueqing Wang, Qian Liu, et al.. (2022). Inhibition of abnormally activated HIF-1α-GLUT1/3-glycolysis pathway enhances the sensitivity of hepatocellular carcinoma to 5-caffeoylquinic acid and its derivatives. European Journal of Pharmacology. 920. 174844–174844. 14 indexed citations
16.
Ahmad, Bashir, et al.. (2020). SANTAMARINE: Mechanistic studies on multiple diseases. Chemical Biology & Drug Design. 95(4). 427–434. 20 indexed citations
17.
Zhao, Ye, Lijuan Zhu, Lin Huang, et al.. (2019). Anti-inflammatory effect and potential mechanism of betulinic acid on λ-carrageenan-induced paw edema in mice. Biomedicine & Pharmacotherapy. 118. 109347–109347. 97 indexed citations
18.
Li, Fangyao, Lin Huang, Qian Li, et al.. (2019). Synthesis and Antiproliferative Evaluation of Novel Hybrids of Dehydroabietic Acid Bearing 1,2,3-Triazole Moiety. Molecules. 24(22). 4191–4191. 18 indexed citations
19.
Zheng, Bin, et al.. (2017). Microarray analysis reveals altered expression of multiple circular RNAs in the pathogenesis of esophageal squamous cell carcinoma. Translational Cancer Research. 6(6). 1248–1257. 2 indexed citations
20.
Huang, Lin, et al.. (2012). PRAS40 Is a Functionally Critical Target for EWS Repression in Ewing Sarcoma. Cancer Research. 72(5). 1260–1269. 28 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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