Ai Peng

1.3k total citations · 1 hit paper
34 papers, 946 citations indexed

About

Ai Peng is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ai Peng has authored 34 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Ai Peng's work include Cancer, Lipids, and Metabolism (9 papers), Cancer-related molecular mechanisms research (6 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Ai Peng is often cited by papers focused on Cancer, Lipids, and Metabolism (9 papers), Cancer-related molecular mechanisms research (6 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Ai Peng collaborates with scholars based in China, United States and Australia. Ai Peng's co-authors include Zhili Liu, Shan Huang, Yang Zhou, Yong Gu, Jian Mao, Song Shen, Tianyong Sun, Linna Liu, Hui‐Xiong Xu and Le‐Hang Guo and has published in prestigious journals such as PLoS ONE, Brain Research and The FASEB Journal.

In The Last Decade

Ai Peng

33 papers receiving 938 citations

Hit Papers

Pan-cancer spatially resolved single-cell analysis reveal... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment
    2023 144 citations Chenxi Ma, Chengzhe Yang et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Peng China 17 513 329 124 108 95 34 946
Mingming Yang China 17 438 0.9× 180 0.5× 140 1.1× 61 0.6× 91 1.0× 80 966
Yang Zheng China 17 782 1.5× 438 1.3× 144 1.2× 30 0.3× 92 1.0× 51 1.2k
Fangfang Zhang China 19 726 1.4× 256 0.8× 131 1.1× 25 0.2× 79 0.8× 50 1.1k
Qiang Su China 20 451 0.9× 256 0.8× 40 0.3× 114 1.1× 36 0.4× 48 947
Lai Zhang China 16 417 0.8× 249 0.8× 35 0.3× 53 0.5× 63 0.7× 37 774

Countries citing papers authored by Ai Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Peng. A scholar is included among the top collaborators of Ai 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 Ai Peng. Ai 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.
Wang, Lihua, Tianyong Sun, Song Shen, et al.. (2023). Study of the inflammatory activating process in the early stage of Fusobacterium nucleatum infected PDLSCs. International Journal of Oral Science. 15(1). 8–8. 33 indexed citations
2.
Ma, Chenxi, Chengzhe Yang, Ai Peng, et al.. (2023). Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment. Molecular Cancer. 22(1). 170–170. 144 indexed citations breakdown →
3.
Zhao, Yan, Lihong Wang, Ai Peng, et al.. (2020). The neuroprotective and neurorestorative effects of growth differentiation factor 11 in cerebral ischemic injury. Brain Research. 1737. 146802–146802. 14 indexed citations
4.
5.
Guo, Jing, et al.. (2016). Transcription factor NF-YA promotes a malignant phenotype by upregulating fatty acid synthase expression. Molecular Medicine Reports. 14(6). 5007–5014. 10 indexed citations
6.
7.
Zhou, Yang, Liang Zhu, Ai Peng, et al.. (2014). LY294002 inhibits the malignant phenotype of osteosarcoma cells by modulating the phosphatidylinositol 3-kinase/Akt/fatty acid synthase signaling pathway in vitro. Molecular Medicine Reports. 11(2). 1352–1357. 22 indexed citations
8.
Dong, Zheng, Wen Lei, Changbin Li, et al.. (2014). Adoptive Transfer of Bone Marrow Dendritic Cells Failed to Localize in the Renal Cortex and to Improve Renal Injury in Adriamycin Nephropathy. Nephron Experimental Nephrology. 126(1). 8–15. 4 indexed citations
9.
Zhu, Xiao Ping, Zhili Liu, Ai Peng, et al.. (2014). Inhibition of Aurora-B suppresses osteosarcoma cell migration and invasion. Experimental and Therapeutic Medicine. 7(3). 560–564. 20 indexed citations
10.
Zhou, Yun, et al.. (2014). Inhibition of Aurora-B suppresses HepG2 cell invasion and migration via the PI3K/Akt/NF-κB signaling pathway in vitro. Experimental and Therapeutic Medicine. 8(3). 1005–1009. 20 indexed citations
11.
Peng, Ai, et al.. (2014). LY294002 suppresses the malignant phenotype and sensitizes osteosarcoma cells to pirarubicin chemotherapy. Molecular Medicine Reports. 10(6). 2967–2972. 8 indexed citations
12.
Guo, Le‐Hang, et al.. (2013). Acoustic Radiation Force Impulse Imaging for Noninvasive Evaluation of Renal Parenchyma Elasticity: Preliminary Findings. PLoS ONE. 8(7). e68925–e68925. 101 indexed citations
13.
Li, Kun, Wei Su, Man Li, et al.. (2013). Acid loading stimulates rat glomerular mesangial cells proliferation through Na+–H+ exchanger isoform 1 (NHE1)-dependent pathway. Naunyn-Schmiedeberg s Archives of Pharmacology. 386(6). 563–569. 6 indexed citations
14.
Mao, Jian, et al.. (2013). Tumor suppressive microRNA-424 inhibits osteosarcoma cell migration and invasion via targeting fatty acid synthase. Experimental and Therapeutic Medicine. 5(4). 1048–1052. 67 indexed citations
15.
Wang, Heng, Qing Luo, Ai Peng, et al.. (2013). Positive feedback regulation between Akt phosphorylation and fatty acid synthase expression in osteosarcoma. International Journal of Molecular Medicine. 33(3). 633–639. 20 indexed citations
16.
Wang, Heng, Ai Peng, Qing Luo, et al.. (2013). Inhibition of fatty acid synthase suppresses U-2 OS cell invasion and migration via downregulating the activity of HER2/PI3K/AKT signaling pathway in vitro. Biochemical and Biophysical Research Communications. 440(2). 229–234. 26 indexed citations
17.
Mao, Jian, Rong Zhou, Ai Peng, et al.. (2012). microRNA-195 suppresses osteosarcoma cell invasion and migration in vitro by targeting FASN. Oncology Letters. 4(5). 1125–1129. 70 indexed citations
18.
19.
Liu, Zhili, Gao Wang, Ai Peng, et al.. (2012). Fatty acid synthase expression in osteosarcoma and its correlation with pulmonary metastasis. Oncology Letters. 4(5). 878–882. 33 indexed citations
20.
You, Huaizhou, Ye Lu, Dingkun Gui, et al.. (2010). Aqueous extract of Astragali Radix ameliorates proteinuria in adriamycin nephropathy rats through inhibition of oxidative stress and endothelial nitric oxide synthase. Journal of Ethnopharmacology. 134(1). 176–182. 33 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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