Chao Nie

2.9k total citations
35 papers, 545 citations indexed

About

Chao Nie is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chao Nie has authored 35 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Chao Nie's work include MicroRNA in disease regulation (5 papers), Gut microbiota and health (5 papers) and Circular RNAs in diseases (4 papers). Chao Nie is often cited by papers focused on MicroRNA in disease regulation (5 papers), Gut microbiota and health (5 papers) and Circular RNAs in diseases (4 papers). Chao Nie collaborates with scholars based in China, United States and Denmark. Chao Nie's co-authors include Hefu Zhen, Yuzhe Sun, Zhili Liu, Wei Zhang, Xiao Liu, Jinghua Wu, Yan Yang, Xun Xu, Xiuqing Zhang and Yuanping Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Materials and PLoS ONE.

In The Last Decade

Chao Nie

30 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Nie China 14 310 128 98 64 57 35 545
Zhiqiang Xu China 14 366 1.2× 113 0.9× 104 1.1× 54 0.8× 133 2.3× 46 744
Eun‐Wie Cho South Korea 14 226 0.7× 92 0.7× 81 0.8× 39 0.6× 73 1.3× 26 423
Zhengyu Zhang China 17 426 1.4× 77 0.6× 258 2.6× 51 0.8× 47 0.8× 33 710
Yumi Itoh Japan 14 265 0.9× 79 0.6× 60 0.6× 29 0.5× 43 0.8× 30 592
Huilan Wang China 17 292 0.9× 110 0.9× 102 1.0× 24 0.4× 94 1.6× 60 722
Yufang Cui China 9 250 0.8× 125 1.0× 49 0.5× 78 1.2× 112 2.0× 33 546
Senthil S. Saravanamuthu United States 8 317 1.0× 78 0.6× 40 0.4× 58 0.9× 31 0.5× 10 527
Najma Farahani Iran 13 341 1.1× 140 1.1× 131 1.3× 19 0.3× 50 0.9× 60 611
Swamy K. Polumuri United States 16 278 0.9× 361 2.8× 49 0.5× 51 0.8× 100 1.8× 20 735
Tiffany Frey United States 6 401 1.3× 139 1.1× 60 0.6× 68 1.1× 37 0.6× 7 655

Countries citing papers authored by Chao Nie

Since Specialization
Citations

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

Fields of papers citing papers by Chao Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Nie. A scholar is included among the top collaborators of Chao Nie 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 Chao Nie. Chao Nie 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.
Nie, Chao, Xueyang Shen, Junying Zhang, et al.. (2025). Role of Seed Layer in Growing Atomically Flat TiTe 2 /Sb 2 Te 3 Heterostructure Thin Films at the Wafer Scale. Advanced Materials Interfaces. 12(21).
2.
Wang, Ruobing, Xu Ding, Chao Nie, et al.. (2025). Amorphous phase-change memory alloy with no resistance drift. Nature Materials. 25(3). 456–462.
3.
Nie, Chao, et al.. (2024). Effect of myocardial bridging on preoperative atrial fibrillation and survival in patients with obstructive hypertrophic cardiomyopathy. European Journal of Preventive Cardiology. 31(Supplement_1).
4.
Qin, Liming, Zhili Liu, Ying Han, et al.. (2024). Astrocytic Neuroligin-3 influences gene expression and social behavior, but is dispensable for synapse number. Molecular Psychiatry. 30(1). 84–96. 9 indexed citations
5.
Nie, Chao, Jie Lan, Haiying Guo, et al.. (2024). Codonopsis pilosula polysaccharides (CPP) intervention alleviates sterigmatocystin (STC)-induced liver injury and gut microbiota dysbiosis. International Journal of Biological Macromolecules. 275(Pt 2). 133190–133190. 8 indexed citations
6.
Liu, Xiaomin, Chao Nie, Youwen Qin, et al.. (2023). Mendelian randomization analyses reveal causal relationships between the human microbiome and longevity. Scientific Reports. 13(1). 5127–5127. 15 indexed citations
7.
Chen, Xiangyu, Wei Qian, Chuanchuan Liu, et al.. (2023). DDB2 and MDM2 genes are promising markers for radiation diagnosis and estimation of radiation dose independent of trauma and burns. Functional & Integrative Genomics. 23(4). 294–294. 5 indexed citations
8.
Liu, Zhili, Yuzhe Sun, Hefu Zhen, & Chao Nie. (2022). Network Pharmacology Integrated with Transcriptomics Deciphered the Potential Mechanism of Codonopsis pilosula against Hepatocellular Carcinoma. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 10 indexed citations
9.
Wang, Jiangjing, Yudong Cheng, Chao Nie, et al.. (2022). Tailoring the oxygen concentration in Ge-Sb-O alloys to enable femtojoule-level phase-change memory operations. 1(4). 45302–45302. 11 indexed citations
10.
Wang, Lifang, Hefu Zhen, Yuzhe Sun, et al.. (2022). Plasma Exo-miRNAs Correlated with AD-Related Factors of Chinese Individuals Involved in Aβ Accumulation and Cognition Decline. Molecular Neurobiology. 59(11). 6790–6804. 16 indexed citations
11.
Rossi, Rachele, Mingyan Fang, Chongyi Jiang, et al.. (2022). Calculating and comparing codon usage values in rare disease genes highlights codon clustering with disease-and tissue- specific hierarchy. PLoS ONE. 17(3). e0265469–e0265469. 2 indexed citations
12.
Lv, Zhanyun, Lifang Wang, Kui Zhang, et al.. (2021). RNA-sequencing of peripheral blood circular RNAs in Parkinson disease. Medicine. 100(23). e25888–e25888. 29 indexed citations
13.
Wang, Daoming, et al.. (2021). Glycosaminoglycan biosynthesis pathway in host genome is associated with Helicobacter pylori infection. Scientific Reports. 11(1). 18235–18235. 3 indexed citations
14.
Han, Bin, Huashuai Chen, Yao Yao, et al.. (2020). Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition. Scientific Reports. 10(1). 19140–19140. 13 indexed citations
15.
Zhang, Wei, Mi Huang, Zhe Ren, et al.. (2019). Selection of potential cytokeratin-18 monoclonal antibodies following IGH repertoire evaluation in mice. Journal of Immunological Methods. 474. 112647–112647. 2 indexed citations
16.
Liu, Xiao, Wei Zhang, Xiaojing Zeng, et al.. (2016). Systematic Comparative Evaluation of Methods for Investigating the TCRβ Repertoire. PLoS ONE. 11(3). e0152464–e0152464. 35 indexed citations
17.
Duan, Xiaobo, Kai Yang, Wei Zhang, et al.. (2016). Comparative Analysis of Immune Repertoires between Bactrian Camel's Conventional and Heavy-Chain Antibodies. PLoS ONE. 11(9). e0161801–e0161801. 50 indexed citations
18.
Guo, Wenhao, Z. Ling, X Liu, et al.. (2015). Caspase-3 feedback loop enhances Bid-induced AIF/endoG and Bak activation in Bax and p53-independent manner. Cell Death and Disease. 6(10). e1919–e1919. 35 indexed citations
19.
Nie, Chao, Yi Luo, Xinyu Zhao, et al.. (2014). Caspase-9 mediates Puma activation in UCN-01-induced apoptosis. Cell Death and Disease. 5(10). e1495–e1495. 24 indexed citations
20.
Nie, Chao. (2004). NUMERICAL SIMULATION OF MICRO INJECTION IN A LOW-SPEED AXIAL COMPRESSOR. Journal of Engineering Thermophysics.

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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