Heying Chu

786 total citations
25 papers, 618 citations indexed

About

Heying Chu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Heying Chu has authored 25 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Heying Chu's work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (5 papers). Heying Chu is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (5 papers). Heying Chu collaborates with scholars based in China, United States and Taiwan. Heying Chu's co-authors include Guojun Zhang, Huaqi Wang, Guoqiang Zhao, Wenqiao Zang, Yuwen Du, Yuanyuan Wang, Jingxia Chang, Ping Li, Rui Yang and Yong Bai and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and Journal of Materials Chemistry A.

In The Last Decade

Heying Chu

24 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heying Chu China 16 439 369 78 69 49 25 618
Xirui Liu China 9 259 0.6× 237 0.6× 60 0.8× 47 0.7× 31 0.6× 13 456
Renxiong Wei China 15 361 0.8× 225 0.6× 89 1.1× 73 1.1× 32 0.7× 24 664
Yong Wei China 10 250 0.6× 178 0.5× 36 0.5× 31 0.4× 38 0.8× 31 407
Erhu Fang China 16 926 2.1× 664 1.8× 77 1.0× 107 1.6× 38 0.8× 29 1.1k
Xiongjie Zhu China 13 321 0.7× 180 0.5× 67 0.9× 68 1.0× 35 0.7× 23 537
Xiyi Lu China 16 789 1.8× 693 1.9× 89 1.1× 65 0.9× 58 1.2× 29 1.0k

Countries citing papers authored by Heying Chu

Since Specialization
Citations

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

Fields of papers citing papers by Heying Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heying Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Heying Chu. A scholar is included among the top collaborators of Heying Chu 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 Heying Chu. Heying Chu 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.
Wang, Gaoyu, Wei Zhang, Junling Wang, et al.. (2025). Regulating Ion Transfer Dynamics and Potassium Polyselenide Dissolution in Dual‐Defect MoSe2‐x@NC for Ultrafast and Stable Potassium‐Ion Storage. Advanced Functional Materials. 35(22). 6 indexed citations
2.
Zhu, Jiye, Zhou Ming, Hongming Zhu, et al.. (2025). [Toxic effects of chlorinated organophosphate flame retardants on mice via different exposure routes].. PubMed. 59(7). 1031–1039. 1 indexed citations
3.
Wu, Wenjuan, Hongxia Jia, Xinran Ma, et al.. (2024). Inhibition of OGG1 ameliorates pulmonary fibrosis via preventing M2 macrophage polarization and activating PINK1-mediated mitophagy. Molecular Medicine. 30(1). 72–72. 9 indexed citations
4.
Chang, Jingxia, Meng Zhang, Li‐Li Lou, Heying Chu, & Huaqi Wang. (2024). KIS, a target of SOX4, regulates the ID1-mediated enhancement of β-catenin to facilitate lung adenocarcinoma cell proliferation and metastasis. Journal of Cancer Research and Clinical Oncology. 150(7). 366–366.
5.
Liang, Zhixin, Jianlian Huang, Wei Zhang, et al.. (2024). Uncovering and preventing polytellurides dissolution enables stable sodium-ion storage: A case study of SnTe. Chemical Engineering Journal. 498. 154873–154873. 7 indexed citations
6.
Chang, Jingxia, Li‐Li Lou, Heying Chu, et al.. (2020). Xanthatin alleviates airway inflammation in asthmatic mice by regulating the STAT3/NF-κB signaling pathway. Respiratory Physiology & Neurobiology. 281. 103491–103491. 6 indexed citations
7.
Chu, Heying, et al.. (2019). MicroRNA-206 promotes lipopolysaccharide-induced inflammation injury via regulation of IRAK1 in MRC-5 cells. International Immunopharmacology. 73. 590–598. 15 indexed citations
8.
Bai, Yong, Guojun Zhang, Ruirui Cheng, Rui Yang, & Heying Chu. (2019). CASC15 contributes to proliferation and invasion through regulating miR-766-5p/ KLK12 axis in lung cancer. Cell Cycle. 18(18). 2323–2331. 35 indexed citations
9.
Wang, Huaqi, Li Wang, Guojun Zhang, et al.. (2017). MALAT1/miR-101-3p/MCL1 axis mediates cisplatin resistance in lung cancer. Oncotarget. 9(7). 7501–7512. 55 indexed citations
10.
Guo, Wei, Shanshan Chen, Ping Li, et al.. (2016). Silencing of AP-4 inhibits proliferation, induces cell cycle arrest and promotes apoptosis in human lung cancer cells. Oncology Letters. 11(6). 3735–3742. 4 indexed citations
11.
Li, Ping, Juan Li, Rui Yang, et al.. (2015). Study on expression of lncRNA RGMB-AS1 and repulsive guidance molecule b in non-small cell lung cancer. Diagnostic Pathology. 10(1). 63–63. 22 indexed citations
12.
Chen, Shanshan, Ping Li, Juan Li, et al.. (2015). MiR-144 Inhibits Proliferation and Induces Apoptosis and Autophagy in Lung Cancer Cells by Targeting TIGAR. Cellular Physiology and Biochemistry. 35(3). 997–1007. 98 indexed citations
13.
Chu, Heying, Huaqi Wang, Xiaonan Chen, et al.. (2014). Silencing BMP-2 expression inhibits A549 and H460 cell proliferation and migration. Diagnostic Pathology. 9(1). 123–123. 20 indexed citations
14.
Yang, Hui, Yue Tang, Wei Guo, et al.. (2014). Up-regulation of microRNA-138 induce radiosensitization in lung cancer cells. Tumor Biology. 35(7). 6557–6565. 48 indexed citations
15.
Li, Ping, Juan Li, Tengfei Chen, et al.. (2014). Expression analysis of serum microRNAs in idiopathic pulmonary fibrosis. International Journal of Molecular Medicine. 33(6). 1554–1562. 52 indexed citations
16.
Zheng, Shangen, Yuwen Du, Heying Chu, et al.. (2013). Analysis of MAT3 gene expression in NSCLC. Diagnostic Pathology. 8(1). 166–166. 15 indexed citations
17.
Wang, Min, Yuanyuan Wang, Wenqiao Zang, et al.. (2013). Downregulation of microRNA-182 inhibits cell growth and invasion by targeting programmed cell death 4 in human lung adenocarcinoma cells. Tumor Biology. 35(1). 39–46. 32 indexed citations
18.
Li, Ping, Yunyun Ma, Yuanyuan Wang, et al.. (2013). Identification of miR-1293 potential target gene: TIMP-1. Molecular and Cellular Biochemistry. 384(1-2). 1–6. 16 indexed citations
19.
Chu, Heying, Xudong Chen, Huaqi Wang, et al.. (2013). MiR-495 regulates proliferation and migration in NSCLC by targeting MTA3. Tumor Biology. 35(4). 3487–3494. 46 indexed citations
20.
Chang, Jingxia, Huaqi Wang, Guoqiang Zhao, Heying Chu, & Guojun Zhang. (2012). Construction and characterization of a eukaryotic expression vector for small interfering RNA targeting the NEDD9 gene. International Journal of Molecular Medicine. 30(6). 1343–1348. 2 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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