Na Cheng

1.3k total citations
35 papers, 715 citations indexed

About

Na Cheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Na Cheng has authored 35 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Na Cheng's work include MicroRNA in disease regulation (4 papers), CRISPR and Genetic Engineering (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Na Cheng is often cited by papers focused on MicroRNA in disease regulation (4 papers), CRISPR and Genetic Engineering (4 papers) and Antibiotic Resistance in Bacteria (4 papers). Na Cheng collaborates with scholars based in China, United States and Rwanda. Na Cheng's co-authors include Xiaoqing Jiang, Bin Li, Shuhan Sun, Yiliang Zhang, Wei Wei, Kaihui Wang, Ze‐Guang Han, Yandong Li, Xin Zhang and Qing Deng and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Na Cheng

31 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Cheng China 12 484 264 132 93 65 35 715
Caixia Lü China 14 287 0.6× 81 0.3× 105 0.8× 20 0.2× 25 0.4× 48 637
Minji Zou China 13 232 0.5× 50 0.2× 70 0.5× 22 0.2× 48 0.7× 42 570
Liang Cao China 15 186 0.4× 42 0.2× 255 1.9× 185 2.0× 43 0.7× 40 621
Hao Fang China 11 271 0.6× 65 0.2× 177 1.3× 10 0.1× 98 1.5× 30 616
Yinong Duan China 17 229 0.5× 109 0.4× 177 1.3× 230 2.5× 62 1.0× 52 748
Yinghua Lan China 11 112 0.2× 34 0.1× 95 0.7× 50 0.5× 39 0.6× 36 374
Bingnan Yin United States 12 511 1.1× 55 0.2× 63 0.5× 8 0.1× 211 3.2× 14 842
Yingqiu Guo China 11 367 0.8× 221 0.8× 195 1.5× 33 0.4× 53 0.8× 18 706
Yiran Li China 14 214 0.4× 28 0.1× 55 0.4× 17 0.2× 42 0.6× 29 696

Countries citing papers authored by Na Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Na Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Na Cheng. A scholar is included among the top collaborators of Na 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 Na Cheng. Na 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.
Liu, Ren, Yang Liu, Qun Ren, et al.. (2025). Biochemical properties and substrate specificity of GOB-38 in Elizabethkingia anophelis. Scientific Reports. 15(1). 351–351. 2 indexed citations
2.
Liu, Qiong, Hong Lai, Jingyi Huang, et al.. (2025). The Evolution of Virulence of Carbapenem-Resistant Klebsiella pneumoniae from the Same Source Under the Pressure of Omadacycline Treatment. Infection and Drug Resistance. Volume 18. 4499–4511.
3.
Yang, Yumeng, Yanan Li, Yueyang Liu, et al.. (2024). An artificial peptide inhibits autophagy through calcineurin-TFEB pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(8). 119853–119853.
4.
Liu, Ren, et al.. (2024). Pulmonary infection caused by Tropheryma whipplei: a case report and review of the literature. Journal of Medical Case Reports. 18(1). 613–613.
5.
Cheng, Na, et al.. (2024). Analysis of intestinal flora in elderly Uygur patients with sarcopenia. Immunity Inflammation and Disease. 12(1). e1097–e1097. 6 indexed citations
6.
Habimana, Jean de Dieu, Omar Mukama, Yirong Sun, et al.. (2023). A Rationally Designed CRISPR/Cas12a Assay Using a Multimodal Reporter for Various Readouts. Analytical Chemistry. 95(31). 11741–11750. 8 indexed citations
7.
Liu, Jing, Na Cheng, Xiuhua Kang, et al.. (2023). Four thermostatic steps: A novel CRISPR-Cas12-based system for the rapid at-home detection of respiratory pathogens. Applied Microbiology and Biotechnology. 107(12). 3983–3996. 5 indexed citations
8.
Cheng, Na, Yujie Qin, Quan Zhang, & Hong Li. (2023). ABCB4 gene mutation-associated cirrhosis with systemic amyloidosis: A case report. World Journal of Clinical Cases. 11(20). 4903–4911. 1 indexed citations
9.
Wei, Dandan, Ren Liu, Qun Ren, et al.. (2023). Covert dissemination of pLVPK-like virulence plasmid in ST29-K54 Klebsiella pneumoniae: emergence of low virulence phenotype strains. Frontiers in Cellular and Infection Microbiology. 13. 1194133–1194133. 4 indexed citations
10.
Zhou, Yan, et al.. (2021). Molecular identification and genetic-polymorphism analysis of Fasciola flukes in Dali Prefecture, Yunnan Province, China. Parasitology International. 85. 102416–102416. 5 indexed citations
11.
Zhao, Huifang, Hualin Huang, Shuai Li, et al.. (2020). Generation of a tdTomato-GAD67 reporter human epilepsia mutation induced pluripotent stem cell line, USTCi001-A-2, using CRISPR/Cas9 editing. Stem Cell Research. 48. 102003–102003. 1 indexed citations
12.
Zhao, Huifang, Shuai Li, Zuoxian Lin, et al.. (2020). A heterozygous SCN1A (c.A5768G/+) mutant human induced pluripotent stem cell line (USTCi002-A) generated using TALEN-mediated precise gene editing. Stem Cell Research. 49. 102058–102058. 2 indexed citations
13.
Wang, Lu, Na Cheng, Ping Wang, et al.. (2020). A novel peptide exerts potent immunosuppression by blocking the two-site interaction of NFAT with calcineurin. Journal of Biological Chemistry. 295(9). 2760–2770. 11 indexed citations
14.
Xiang, Tianxin, Yang Liu, Qí Zhāng, et al.. (2020). Resistance of Klebsiella pneumoniae Strains Carrying blaNDM–1 Gene and the Genetic Environment of blaNDM–1. Frontiers in Microbiology. 11. 700–700. 21 indexed citations
15.
Tian, Chao, Rongqi Huang, Feng Tang, et al.. (2019). Transient Receptor Potential Ankyrin 1 Contributes to Lysophosphatidylcholine-Induced Intracellular Calcium Regulation and THP-1-Derived Macrophage Activation. The Journal of Membrane Biology. 253(1). 43–55. 18 indexed citations
17.
Zhang, Yiliang, Wei Wei, Na Cheng, et al.. (2012). Hepatitis C virus-induced up-regulation of microRNA-155 promotes hepatocarcinogenesis by activating Wnt signaling. Hepatology. 56(5). 1631–1640. 259 indexed citations
18.
Cheng, Na, Yandong Li, & Ze‐Guang Han. (2012). Argonaute2 promotes tumor metastasis by way of up-regulating focal adhesion kinase expression in hepatocellular carcinoma. Hepatology. 57(5). 1906–1918. 61 indexed citations
19.
Xiang, Tianxin, et al.. (2012). Association between transforming growth factor‐β1 polymorphisms and hepatocellular cancer risk: A meta‐analysis. Hepatology Research. 42(6). 583–590. 11 indexed citations
20.
Zheng, Dali, Li Zhang, Na Cheng, et al.. (2008). Epigenetic modification induced by hepatitis B virus X protein via interaction with de novo DNA methyltransferase DNMT3A. Journal of Hepatology. 50(2). 377–387. 158 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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