Liang Chang

662 total citations
21 papers, 478 citations indexed

About

Liang Chang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Liang Chang has authored 21 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Liang Chang's work include Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Liang Chang is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Liang Chang collaborates with scholars based in China, Ethiopia and United States. Liang Chang's co-authors include Zhuang Hu, Hui Zhang, Zhenyu Zhou, Lei Xing, Fengjie Guo, Yudong Wang, Yalei Lv, Yan Zhang, Zheng Ma and Hongfei Cai and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cell Death and Disease and Oncotarget.

In The Last Decade

Liang Chang

20 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Chang China 13 399 346 42 33 27 21 478
Yasu Jiang China 13 410 1.0× 279 0.8× 46 1.1× 22 0.7× 23 0.9× 19 485
Yvan de Féraudy France 3 326 0.8× 277 0.8× 44 1.0× 16 0.5× 18 0.7× 6 434
Zhenbing Lv China 12 373 0.9× 237 0.7× 66 1.6× 29 0.9× 16 0.6× 20 463
Alessia Catania Italy 10 366 0.9× 246 0.7× 59 1.4× 21 0.6× 13 0.5× 16 488
Y H Gao China 3 305 0.8× 173 0.5× 56 1.3× 17 0.5× 22 0.8× 7 386
Liming Xie China 12 435 1.1× 372 1.1× 56 1.3× 22 0.7× 25 0.9× 17 529
Bingwei Ye United States 9 250 0.6× 162 0.5× 39 0.9× 23 0.7× 29 1.1× 12 349
Guangcheng Guo China 12 397 1.0× 329 1.0× 55 1.3× 16 0.5× 15 0.6× 14 463
Shanshan Zhao China 13 351 0.9× 258 0.7× 40 1.0× 29 0.9× 47 1.7× 27 486
Yun Gu China 11 284 0.7× 227 0.7× 42 1.0× 43 1.3× 19 0.7× 22 384

Countries citing papers authored by Liang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Chang. A scholar is included among the top collaborators of Liang Chang 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 Liang Chang. Liang Chang 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.
Chang, Liang, Lin Chen, Lin Wang, et al.. (2025). Efficacy and safety of contezolid in the treatment of Gram-positive bacterial infections in patients with hematological malignancies: a retrospective study. European Journal of Clinical Microbiology & Infectious Diseases. 44(12). 3047–3055.
2.
Wang, Jianghong, Xiaoyuan Wang, Zilin Huang, et al.. (2024). Huopuxialing Decoction: A Promising Candidate for Precancerous Lesions of Gastric Cancer Treatment Based on Bioinformatics and Experimental Verification. Combinatorial Chemistry & High Throughput Screening. 28(15). 2667–2681. 3 indexed citations
3.
Wen, Yuqing, et al.. (2023). JHDM1D-AS1-driven inhibition of miR-940 releases ARTN expression to induce breast carcinogenesis. Clinical & Translational Oncology. 25(7). 2192–2203. 3 indexed citations
4.
Ren, Ping, et al.. (2021). Long non-coding RNA LINC01116 is activated by EGR1 and facilitates lung adenocarcinoma oncogenicity via targeting miR-744-5p/CDCA4 axis. Cancer Cell International. 21(1). 292–292. 14 indexed citations
5.
Xing, Lei, et al.. (2020). miR‑365b regulates the development of non‑small cell lung cancer via GALNT4. Experimental and Therapeutic Medicine. 20(2). 1637–1643. 10 indexed citations
6.
7.
8.
Liu, Xiaopeng, Shan Qin, Bingyan Guo, et al.. (2020). FOXO3a‐mediated long non‐coding RNA LINC00261 resists cardiomyocyte hypoxia/reoxygenation injury via targeting miR23b‐3p/NRF2 axis. Journal of Cellular and Molecular Medicine. 24(15). 8368–8378. 18 indexed citations
9.
Li, Dan, Yun Wang, Liang Chang, et al.. (2019). A case report and mechanism analysis of a normal phenotype mosaic 47, XXY complicated by paternal iUPD (9) who had a normal PGD result. BMC Medical Genetics. 20(1). 172–172. 1 indexed citations
10.
Cheng, Yan, et al.. (2019). miR-375 inhibits the proliferation and invasion of glioblastoma by regulating Wnt5a. Neoplasma. 66(3). 350–356. 20 indexed citations
11.
Wang, Chao, Wen Yuan, Dongzhi Zhang, et al.. (2019). FOXP1-induced lncRNA CLRN1-AS1 acts as a tumor suppressor in pituitary prolactinoma by repressing the autophagy via inactivating Wnt/β-catenin signaling pathway. Cell Death and Disease. 10(7). 499–499. 58 indexed citations
12.
Chang, Liang, Zhuang Hu, Zhenyu Zhou, & Hui Zhang. (2018). Linc00518 Contributes to Multidrug Resistance Through Regulating the MiR-199a/MRP1 Axis in Breast Cancer. Cellular Physiology and Biochemistry. 48(1). 16–28. 79 indexed citations
13.
Qiao, Li, Bingyan Guo, Hui Zhang, et al.. (2017). The clock gene, brain and muscle Arnt-like 1, regulates autophagy in high glucose-induced cardiomyocyte injury. Oncotarget. 8(46). 80612–80624. 12 indexed citations
14.
Ma, Zheng, Hongfei Cai, Yan Zhang, Liang Chang, & Youbin Cui. (2017). MiR-129-5p inhibits non-small cell lung cancer cell stemness and chemoresistance through targeting DLK1. Biochemical and Biophysical Research Communications. 490(2). 309–316. 57 indexed citations
15.
Wang, Shunchang, et al.. (2017). Knockdown of PEBP4 suppresses proliferation, migration and invasion of human breast cancer cells. Biomedicine & Pharmacotherapy. 90. 659–664. 9 indexed citations
16.
Chang, Liang, Xuexin Zhang, Hua Jin, et al.. (2015). MicroRNA-133b inhibits cell migration and invasion by targeting matrix metalloproteinase 14 in glioblastoma. Oncology Letters. 10(5). 2781–2786. 18 indexed citations
17.
Chang, Liang, et al.. (2015). Expression and clinical significance of the microRNA-200 family in gastric cancer. Oncology Letters. 9(5). 2317–2324. 33 indexed citations
18.
Yang, Rong, Liang Chang, Hui Zhang, et al.. (2014). MAPK pathway mediates the induction of visfatin in neonatal SD rat cardiomyocytes pretreated with glucose. Biomedical Reports. 2(2). 282–286. 3 indexed citations
19.
Gao, Xuefeng, Guian Chen, Quan Bai, et al.. (2013). Clinical, cytogenetic, and molecular analysis with 46,XX male sex reversal syndrome: case reports. Journal of Assisted Reproduction and Genetics. 30(3). 431–435. 16 indexed citations
20.
Chang, Liang, Fengjie Guo, Yudong Wang, et al.. (2013). MicroRNA-200c Regulates the Sensitivity of Chemotherapy of Gastric Cancer SGC7901/DDP Cells by Directly Targeting RhoE. Pathology & Oncology Research. 20(1). 93–98. 48 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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