Jie Peng

427 total citations
22 papers, 315 citations indexed

About

Jie Peng is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jie Peng has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Jie Peng's work include Virus-based gene therapy research (5 papers), Cancer Research and Treatments (4 papers) and RNA Interference and Gene Delivery (4 papers). Jie Peng is often cited by papers focused on Virus-based gene therapy research (5 papers), Cancer Research and Treatments (4 papers) and RNA Interference and Gene Delivery (4 papers). Jie Peng collaborates with scholars based in China, United States and India. Jie Peng's co-authors include Linlin Chen, Junwen Yang, Fujun Li, Fanggen Lu, Yi-You Zou, Yani Yin, Ting Liu, Guiying Zhang, Yongheng Chen and Ai‐min Leng and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Free Radical Biology and Medicine.

In The Last Decade

Jie Peng

21 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Peng China 11 203 83 57 42 37 22 315
Scott D. Leigh United States 10 246 1.2× 69 0.8× 43 0.8× 89 2.1× 56 1.5× 13 507
Fernanda Martins Rodrigues United States 7 122 0.6× 78 0.9× 49 0.9× 18 0.4× 64 1.7× 13 260
Haoyu Deng China 8 300 1.5× 64 0.8× 230 4.0× 33 0.8× 58 1.6× 16 461
Ayyoob Khosravi Iran 9 146 0.7× 30 0.4× 51 0.9× 31 0.7× 50 1.4× 40 297
Xingxing Chai China 10 214 1.1× 29 0.3× 118 2.1× 65 1.5× 70 1.9× 27 372
Madeleine D. Hu United States 7 117 0.6× 45 0.5× 44 0.8× 94 2.2× 67 1.8× 9 306
Shiyu Song China 9 173 0.9× 28 0.3× 25 0.4× 33 0.8× 27 0.7× 14 332
Qurrat Ul Ain South Korea 10 249 1.2× 64 0.8× 18 0.3× 45 1.1× 17 0.5× 16 388
Binyan Zhao China 12 202 1.0× 28 0.3× 20 0.4× 63 1.5× 61 1.6× 19 326
Lili Qian China 11 189 0.9× 42 0.5× 90 1.6× 29 0.7× 34 0.9× 24 327

Countries citing papers authored by Jie Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jie Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Peng. A scholar is included among the top collaborators of Jie Peng 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 Jie Peng. Jie Peng 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.
Cheng, Jiangbo, Deyin Zhang, Yukun Zhang, et al.. (2025). Differences in production performance, fore-digestive tract microbiota, and expression levels of nutrient transporters of Hu sheep with different feed conversion ratio. Microbiology Spectrum. 13(6). e0142324–e0142324. 1 indexed citations
2.
Zhang, Zhao, et al.. (2023). Effect of matrine in MAC-T cells and their transcriptome analysis: A basic study. PLoS ONE. 18(1). e0280905–e0280905.
3.
Fu, Xiao, et al.. (2023). Chidamide inhibits cell glycolysis in acute myeloid leukemia by decreasing N6-methyladenosine-related GNAS-AS1. DARU Journal of Pharmaceutical Sciences. 32(1). 11–24. 3 indexed citations
4.
Peng, Jie, et al.. (2021). MiR-196a promotes the proliferation and migration of esophageal cancer via the UHRF2/TET2 axis. Molecular and Cellular Biochemistry. 477(2). 537–547. 16 indexed citations
5.
Xiao, Jie, Di Wu, Yan Jia, Qiquan Wan, & Jie Peng. (2021). Impact of Donor-Derived Multi-drug–Resistant Organism Infections on Abdominal Solid Organ Transplantation Recipients in China. Transplantation Proceedings. 53(6). 1853–1857. 6 indexed citations
6.
Peng, Jie, et al.. (2020). Chidamide acts on the histone deacetylase‐mediated miR‐34a/Bcl‐2 axis to regulate NB4 cell line proliferation and apoptosis. The Kaohsiung Journal of Medical Sciences. 36(12). 1004–1013. 4 indexed citations
7.
Peng, Jie, Liang Lv, Xuehong Wang, et al.. (2019). miR‑196a regulates the proliferation, invasion and migration of esophageal squamous carcinoma cells by targeting ANXA1. Oncology Letters. 15 indexed citations
9.
Liu, Ting, Haijun Wu, Yu Liang, et al.. (2016). Tumor-specific expression of shVEGF and suicide gene as a novel strategy for esophageal cancer therapy. World Journal of Gastroenterology. 22(23). 5342–5342. 20 indexed citations
10.
Chen, Linlin, Yi-You Zou, Jie Peng, et al.. (2015). Lactobacillus acidophilusSuppresses Colitis-Associated Activation of the IL-23/Th17 Axis. Journal of Immunology Research. 2015. 1–10. 84 indexed citations
11.
Peng, Jie, Xing Chen, Tingting Li, et al.. (2013). Genome association study of human chromosome 13 and susceptibility to coronary artery disease in a Chinese population. Journal of Genetics. 92(1). 85–91. 4 indexed citations
12.
13.
Long, Hongyu, Qingfu Li, Yuan Wang, et al.. (2012). Effective combination gene therapy using CEACAM6-shRNA and the fusion suicide gene yCDglyTK for pancreatic carcinoma in vitro. Experimental and Therapeutic Medicine. 5(1). 155–161. 8 indexed citations
14.
Shang, Yuanyuan, Feng Wang, Hui Wang, et al.. (2012). MicroRNA-21, induced by high glucose, modulates macrophage apoptosis via programmed cell death 4. Molecular Medicine Reports. 12(1). 463–469. 18 indexed citations
15.
Liu, Ruxiu, Shuang Tan, Min Li, et al.. (2011). Effects of Chinese Herbal Medicine Serum on the Apoptosis of Sinoatrial Node Cells Induced by Simulated Ischemia-reperfusion. Journal of Traditional Chinese Medicine. 31(3). 224–227. 3 indexed citations
16.
Liu, Ting, Ling Ye, Yongzheng He, et al.. (2011). Combination gene therapy using VEGF-shRNA and fusion suicide gene yCDglyTK inhibits gastric carcinoma growth. Experimental and Molecular Pathology. 91(3). 745–752. 31 indexed citations
17.
Vali, Shireen, Shankar J. Chinta, Jie Peng, et al.. (2008). Insights into the effects of α-synuclein expression and proteasome inhibition on glutathione metabolism through a dynamic in silico model of Parkinson's disease: validation by cell culture data. Free Radical Biology and Medicine. 45(9). 1290–1301. 14 indexed citations
18.
Zhang, Guiying, Ting Liu, Yongheng Chen, et al.. (2008). Tissue Specific Cytotoxicity of Colon Cancer Cells Mediated by Nanoparticle-delivered Suicide Gene In vitro and In vivo. Clinical Cancer Research. 15(1). 201–207. 32 indexed citations
19.
Liu, Ting, Guiying Zhang, Yongheng Chen, et al.. (2006). Tissue specific expression of suicide genes delivered by nanoparticles inhibits gastric carcinoma growth. Cancer Biology & Therapy. 5(12). 1683–1690. 21 indexed citations
20.
Li, Jiangfeng, et al.. (2006). Apoptosis and necrosis of HeLa cells in response to low-energy ion radiation. Nuclear Science and Techniques. 17(4). 222–226. 2 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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