Qing Cheng

1.1k total citations
43 papers, 739 citations indexed

About

Qing Cheng is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Qing Cheng has authored 43 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Qing Cheng's work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (9 papers) and RNA modifications and cancer (7 papers). Qing Cheng is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (9 papers) and RNA modifications and cancer (7 papers). Qing Cheng collaborates with scholars based in China. Qing Cheng's co-authors include Zikun Huang, Shuying Huang, Qing Luo, Zhenguo Zeng, Junming Li, Zikun Huang, Yuanfang Zhu, Yang Guo, Zeng‐Hong Wu and Jianqing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Cellular Physiology.

In The Last Decade

Qing Cheng

41 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Cheng China	16	430	397	167	92	55	43	739
Zsófia Onódi Hungary	11	814 1.9×	381 1.0×	119 0.7×	46 0.5×	52 0.9×	25	1.0k
Veronica Hérias Netherlands	7	627 1.5×	482 1.2×	83 0.5×	75 0.8×	68 1.2×	8	1.0k
Yaping Tian China	14	538 1.3×	486 1.2×	80 0.5×	76 0.8×	56 1.0×	27	805
Marta Vuerich United States	14	303 0.7×	135 0.3×	320 1.9×	110 1.2×	52 0.9×	19	855
Alison Tyson-Capper United Kingdom	19	577 1.3×	182 0.5×	114 0.7×	72 0.8×	58 1.1×	40	948
Ashish Yeri United States	20	721 1.7×	451 1.1×	77 0.5×	46 0.5×	69 1.3×	32	1.1k
Nyamdelger Sukhbaatar Austria	10	837 1.9×	651 1.6×	246 1.5×	60 0.7×	67 1.2×	14	1.2k
Luiz G. Almeida Canada	10	223 0.5×	109 0.3×	125 0.7×	65 0.7×	64 1.2×	13	609
Soon Keng Cheong Malaysia	18	418 1.0×	266 0.7×	106 0.6×	69 0.8×	169 3.1×	91	1.0k

Countries citing papers authored by Qing Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Qing Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cheng. A scholar is included among the top collaborators of Qing 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 Qing Cheng. Qing Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Wenting, et al.. (2025). Silencing circRNA-ZFAND6 induces trophoblast apoptosis by activating the mitochondrial pathway through the miR-575/SOD2 axis in unexplained recurrent spontaneous abortion. BMC Women s Health. 25(1). 164–164. 1 indexed citations

Tan, Juan, Juan Tan, Yuguo Wang, et al.. (2024). A capillary electrophoresis-based assay for carrier screening of the hotspot mutations in the CYP21A2 gene. Heliyon. 10(19). e38222–e38222. 1 indexed citations

Wang, Wenting, et al.. (2024). Effectiveness and pregnancy outcomes of ultrasound-indicated and physical examination-indicated cervical cerclage: a retrospective study from a single centre. BMC Pregnancy and Childbirth. 24(1). 467–467.

Zhu, Jingai, et al.. (2024). Single-Cell RNA-Seq Analysis of Hearts in Patients with Fetal Tetralogy of Fallot. Cardiology. 150(2). 1–11. 1 indexed citations

Cheng, Qing, et al.. (2024). Ameliorative Effect of Morinda Officinalis Oligosaccharides on LPS‐Induced Acute Lung Injury. Chemistry & Biodiversity. 21(5). e202400506–e202400506. 4 indexed citations

Zhang, Cuiping, Fengchang Qiao, Qing Cheng, et al.. (2023). A Novel Splice Site Mutation in the FBN2 Gene in a Chinese Family with Congenital Contractural Arachnodactyly. Biochemical Genetics. 62(4). 2495–2503. 3 indexed citations

Wu, Zeng‐Hong, et al.. (2020). Data Mining Identifies Six Proteins that Can Act as Prognostic Markers for Head and Neck Squamous Cell Carcinoma. Cell Transplantation. 29. 2790872578–2790872578. 7 indexed citations

Tang, Yunliang, Yanxia Jiang, Qing Cheng, Jiao Wang, & Zhenguo Zeng. (2020). Systematic construction and validation of an epithelial–mesenchymal transition risk model to predict prognosis of lung adenocarcinoma. Aging. 13(1). 794–812. 11 indexed citations

Liu, Rong, et al.. (2019). miRNA-99b-5p targets FZD8 to inhibit non-small cell lung cancer proliferation, migration and invasion. SHILAP Revista de lepidopterología. 1 indexed citations

10.

Zhang, Jizhou, Zeng‐Hong Wu, & Qing Cheng. (2019). Screening and identification of key biomarkers in nasopharyngeal carcinoma. Medicine. 98(48). e17997–e17997. 17 indexed citations

11.

Huang, Shuying, et al.. (2018). The Expression of lncRNA NEAT1 in Human Tuberculosis and Its Antituberculosis Effect. BioMed Research International. 2018. 1–8. 45 indexed citations

12.

Luo, Qing, Xue Li, Biqi Fu, et al.. (2018). Decreased expression of TIGIT in NK cells correlates negatively with disease activity in systemic lupus erythematosus.. PubMed. 11(5). 2408–2418. 16 indexed citations

13.

Zeng, Zhenguo, Dan Li, Fen Liu, et al.. (2018). Mitochondrial DNA plays an important role in lung injury induced by sepsis. Journal of Cellular Biochemistry. 120(5). 8547–8560. 15 indexed citations

14.

Luo, Qing, Xue Li, Lu Zhang, et al.. (2018). Serum PGLYRP‑1 is a highly discriminatory biomarker for the diagnosis of rheumatoid arthritis. Molecular Medicine Reports. 19(1). 589–594. 21 indexed citations

15.

Zhang, Jingjing, Liang Dong, Qing Cheng, et al.. (2017). Peptidomic Analysis of Fetal Heart Tissue for Identification of Endogenous Peptides Involved in Tetralogy of Fallot. DNA and Cell Biology. 36(6). 451–461. 8 indexed citations

16.

Huang, Shuying, et al.. (2017). Diagnostic Value of the lncRNA NEAT1 in Peripheral Blood Mononuclear Cells of Patients with Sepsis. Disease Markers. 2017. 1–6. 36 indexed citations

17.

Wang, Xin, et al.. (2017). Circular RNAs expressed in chorionic villi are probably involved in the occurrence of recurrent spontaneous abortion. Biomedicine & Pharmacotherapy. 88. 1154–1162. 16 indexed citations

18.

Dong, Ningning, et al.. (2017). CH₃NH₃PbI₃ perovskite:poly(N-vinylcarbazole) blends for broadband optical limiting. RSC Advances. 7(4). 1809–1813. 12 indexed citations

19.

Huang, Shuying, Qing Cheng, Zikun Huang, & Yuanfang Zhu. (2016). The long non-coding RNA CCAT2 is up-regulated in ovarian cancer and associated with poor prognosis. Diagnostic Pathology. 11(1). 49–49. 73 indexed citations

20.

Huang, Zikun, Qing Luo, Fangyi Yao, et al.. (2016). Identification of Differentially Expressed Long Non-coding RNAs in Polarized Macrophages. Scientific Reports. 6(1). 19705–19705. 64 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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