Liang Cheng

3.3k total citations
80 papers, 2.5k citations indexed

About

Liang Cheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Liang Cheng has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 29 papers in Cancer Research and 25 papers in Oncology. Recurrent topics in Liang Cheng's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Liang Cheng is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Liang Cheng collaborates with scholars based in China, United States and Spain. Liang Cheng's co-authors include Qingyong Ma, Weikun Qian, Zhengdong Jiang, Bin Yan, Cancan Zhou, Junyu Cao, Ke Chen, Jiguang Ma, Wanxing Duan and Liankang Sun and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Liang Cheng

77 papers receiving 2.4k 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 Cheng China 30 1.4k 763 676 364 355 80 2.5k
Zhi‐Qiang Ling China 30 1.6k 1.2× 465 0.6× 894 1.3× 469 1.3× 393 1.1× 117 2.6k
Ivana Sarotto Italy 25 808 0.6× 885 1.2× 542 0.8× 354 1.0× 317 0.9× 50 2.3k
Liankang Sun China 31 1.4k 1.0× 606 0.8× 996 1.5× 212 0.6× 193 0.5× 55 2.2k
Ming‐Tat Ling Hong Kong 29 1.6k 1.1× 798 1.0× 531 0.8× 143 0.4× 384 1.1× 51 2.5k
Zebin Wang China 19 1.5k 1.1× 692 0.9× 659 1.0× 210 0.6× 196 0.6× 49 2.2k
Meiju Ji China 35 2.1k 1.5× 784 1.0× 685 1.0× 276 0.8× 388 1.1× 116 3.5k
Min‐Bin Chen China 30 1.5k 1.1× 697 0.9× 624 0.9× 216 0.6× 293 0.8× 83 2.4k
Masahiko Nishiyama Japan 33 1.6k 1.2× 1.3k 1.8× 680 1.0× 400 1.1× 842 2.4× 188 3.3k

Countries citing papers authored by Liang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Liang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Cheng. A scholar is included among the top collaborators of Liang Cheng 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 Cheng. Liang Cheng 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.
Jia, Fan, Da‐Yong Hou, Han Zhang, et al.. (2025). Synthesis, preclinical evaluation and clinical application of a novel heterodimeric tracer 68Ga-pentixafor-c(RGDfK) for PET-CT imaging. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 1593–1607.
2.
Guo, Wei, Hao Jiang, Chih‐Hung Wang, et al.. (2025). Predictive value of [18F]FDG PET-derived parameters for microsatellite instability and prognosis in patients with colorectal cancer. European Radiology. 35(12). 7497–7509.
3.
Xu, Chengfei, Peng Liu, Qiuli He, et al.. (2024). LncRNA 51325 Alleviates Bone Cancer Induced Hyperalgesia Through Inhibition of Pum2. Journal of Pain Research. Volume 17. 265–284. 3 indexed citations
4.
Yang, Zhijuan, Yi Zhong, Xiaoxiao Chen, et al.. (2024). Cholesterol Targeted Catalytic Hydrogel Fueled by Tumor Debris can Enhance Microwave Ablation Therapy and Anti‐Tumor Immune Response. Advanced Science. 12(5). e2406975–e2406975. 7 indexed citations
5.
Yang, Nailin, Shumin Sun, Li Wang, et al.. (2024). Antimony Component Schottky Nanoheterojunctions as Ultrasound‐Heightened Pyroptosis Initiators for Sonocatalytic Immunotherapy. Angewandte Chemie International Edition. 64(4). e202416426–e202416426. 27 indexed citations
6.
Zhang, Qingqing, et al.. (2024). Age at Diagnosis of Diabetes in Young Men is Associated with Albuminuria. Diabetes Metabolic Syndrome and Obesity. Volume 17. 1543–1549. 2 indexed citations
7.
Yang, Liping, et al.. (2023). [18F] AlF‑NOTA‑FAPI‑04 PET/CT as a promising tool for imaging fibroblast activation protein in gastrointestinal system cancers: a prospective investigation of comparative analysis with 18F-FDG. European Journal of Nuclear Medicine and Molecular Imaging. 50(13). 4051–4063. 12 indexed citations
8.
Ahodantin, James, Kouki Nio, Xuguang Zhai, et al.. (2022). Type I interferons and TGF-β cooperate to induce liver fibrosis during HIV-1 infection under antiretroviral therapy. JCI Insight. 7(13). 11 indexed citations
9.
10.
Guo, Tao, et al.. (2021). Rare Metastasis of Gastric Cancer to the Thyroid Gland: A Case Report and Review of Literature. Frontiers in Surgery. 8. 731673–731673. 2 indexed citations
11.
Xu, Qinhong, Ying Xiao, Xuqi Li, et al.. (2020). Resveratrol Counteracts Hypoxia-Induced Gastric Cancer Invasion and EMT through Hedgehog Pathway Suppression. Anti-Cancer Agents in Medicinal Chemistry. 20(9). 1105–1114. 35 indexed citations
12.
Yan, Bin, Liang Cheng, Zhengdong Jiang, et al.. (2018). Resveratrol Inhibits ROS‐Promoted Activation and Glycolysis of Pancreatic Stellate Cells via Suppression of miR‐21. Oxidative Medicine and Cellular Longevity. 2018(1). 1346958–1346958. 61 indexed citations
13.
Cheng, Liang, Bin Yan, Ke Chen, et al.. (2018). Resveratrol‐Induced Downregulation of NAF‐1 Enhances the Sensitivity of Pancreatic Cancer Cells to Gemcitabine via the ROS/Nrf2 Signaling Pathways. Oxidative Medicine and Cellular Longevity. 2018(1). 9482018–9482018. 69 indexed citations
14.
Cimadamore, Alessia, Roberta Mazzucchelli, Liang Cheng, et al.. (2017). Long Non-coding RNAs in Prostate Cancer with Emphasis on Second Chromosome Locus Associated with Prostate-1 Expression. PMC. 1 indexed citations
15.
Zheng, Xiao, et al.. (2016). Coexistence of resistance to thyroid hormone and ectopic thyroid: ten-year follow-up. Archives of Endocrinology and Metabolism. 60(6). 601–604. 4 indexed citations
16.
Gan, Wenjian, Xiangpeng Dai, Andrea Lunardi, et al.. (2015). SPOP Promotes Ubiquitination and Degradation of the ERG Oncoprotein to Suppress Prostate Cancer Progression. PMC. 1 indexed citations
17.
Liu, Teng, Liang Cheng, & Zhuang Liu. (2015). Two Dimensional Transitional Metal Dichalcogenides for Biomedical Applications. Acta Chimica Sinica. 73(9). 902–902. 9 indexed citations
18.
Chen, Shaoxiong, et al.. (2014). Detection of <b><i>BRAF </i></b>Mutation in Metastatic Melanoma Utilizing Cell-Transferred Cytological Smears. Acta Cytologica. 58(5). 478–482. 5 indexed citations
19.
Cheng, Liang. (2013). Molecular Genetic Pathology. DIAL (Catholic University of Leuven). 29 indexed citations
20.
Shanmugam, Rajasubramaniam, Yesim Gökmen‐Polar, Stephanie L. Kelich, et al.. (2006). Restoring chemotherapy and hormone therapy sensitivity by parthenolide in a xenograft hormone refractory prostate cancer model. The Prostate. 66(14). 1498–1511. 43 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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