Peng Kuang

980 total citations
26 papers, 759 citations indexed

About

Peng Kuang is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peng Kuang has authored 26 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peng Kuang's work include MicroRNA in disease regulation (5 papers), Lung Cancer Research Studies (4 papers) and Cancer-related molecular mechanisms research (4 papers). Peng Kuang is often cited by papers focused on MicroRNA in disease regulation (5 papers), Lung Cancer Research Studies (4 papers) and Cancer-related molecular mechanisms research (4 papers). Peng Kuang collaborates with scholars based in China, United States and Germany. Peng Kuang's co-authors include Shengxiang Ren, Afrasyab Altaf, Peng Qu, Bing Li, Xuefei Li, Chunxia Su, Yayi He, Xiaoqing Wang, Caicun Zhou and Fei Ke and has published in prestigious journals such as Cancer, Scientific Reports and BioMed Research International.

In The Last Decade

Peng Kuang

26 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Kuang China 15 476 249 172 172 108 26 759
Shilei Zhao China 19 447 0.9× 155 0.6× 122 0.7× 95 0.6× 61 0.6× 52 776
Shicheng Yu China 16 326 0.7× 170 0.7× 107 0.6× 71 0.4× 90 0.8× 59 690
Michael F. Coleman United States 15 257 0.5× 165 0.7× 123 0.7× 126 0.7× 80 0.7× 46 627
Peng Qu China 16 379 0.8× 172 0.7× 37 0.2× 122 0.7× 73 0.7× 24 695
Shilong You China 14 374 0.8× 115 0.5× 44 0.3× 95 0.6× 31 0.3× 23 576
Shengkai Zuo China 16 279 0.6× 75 0.3× 83 0.5× 62 0.4× 74 0.7× 30 613
Sui‐Bing Miao China 14 503 1.1× 261 1.0× 76 0.4× 46 0.3× 68 0.6× 31 779
Xinyang Hu China 11 260 0.5× 90 0.4× 64 0.4× 72 0.4× 105 1.0× 34 564
Xian Huang China 14 399 0.8× 126 0.5× 34 0.2× 76 0.4× 41 0.4× 19 639
Guo‐Huang Hu China 12 242 0.5× 164 0.7× 46 0.3× 86 0.5× 63 0.6× 31 522

Countries citing papers authored by Peng Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Kuang. A scholar is included among the top collaborators of Peng Kuang 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 Peng Kuang. Peng Kuang 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.
Chen, Jie, Lawrence Chan, Bin Shao, et al.. (2025). Inflammatory signaling pathways in pancreatic β-cell: New insights into type 2 diabetes pathogenesis. Pharmacological Research. 216. 107776–107776. 7 indexed citations
2.
Li, Li, et al.. (2022). Tongue Acupuncture for the Treatment of Poststroke Aphasia: A Systematic Review and Meta-Analysis. Evidence-based Complementary and Alternative Medicine. 2022. 1–11. 3 indexed citations
3.
Li, Pu, Tingting Chen, Peng Kuang, et al.. (2022). Aurora-A/FOXO3A/SKP2 axis promotes tumor progression in clear cell renal cell carcinoma and dual-targeting Aurora-A/SKP2 shows synthetic lethality. Cell Death and Disease. 13(7). 606–606. 15 indexed citations
4.
Kuang, Peng, et al.. (2021). Regulation of ERα Stability and Estrogen Signaling in Breast Cancer by HOIL-1. Frontiers in Oncology. 11. 664689–664689. 8 indexed citations
5.
Kuang, Peng, et al.. (2021). Application effect of evidence-based nursing in perioperative period of acute coronary syndrome.. American Journal of Translational Research. 13(4). 2653–2661. 4 indexed citations
6.
Xie, An, Xinping Xu, Peng Kuang, Ling Zhang, & Feng Yu. (2021). TMED3 promotes the progression and development of lung squamous cell carcinoma by regulating EZR. Cell Death and Disease. 12(9). 804–804. 17 indexed citations
7.
Chen, Peixin, Peng Kuang, Lei Wang, et al.. (2020). Mechanisms of drugs-resistance in small cell lung cancer: DNA-related, RNA-related, apoptosis-related, drug accumulation and metabolism procedure. Translational Lung Cancer Research. 9(3). 768–786. 22 indexed citations
8.
Kuang, Peng, Peixin Chen, Lei Wang, et al.. (2020). RNA sequencing analysis of small cell lung cancer reveals candidate chemotherapy insensitivity long noncoding RNAs and microRNAs. Annals of Translational Medicine. 8(4). 121–121. 21 indexed citations
9.
Kuang, Peng, Zuhua Chen, Jiayuan Wang, et al.. (2017). Characterization of Aurora A and Its Impact on the Effect of Cisplatin-Based Chemotherapy in Patients with Non–Small Cell Lung Cancer. Translational Oncology. 10(3). 367–377. 12 indexed citations
10.
He, Yayi, Yang� Yang, Peng Kuang, et al.. (2017). Seven-microRNA panel for lung adenocarcinoma early diagnosis in patients presenting with ground-glass nodules. OncoTargets and Therapy. Volume 10. 5915–5926. 16 indexed citations
11.
Wang, Hongyan, Xiaoqing Wang, Peng Kuang, et al.. (2016). Saikosaponin-a Attenuates Oxidized LDL Uptake and Prompts Cholesterol Efflux in THP-1 Cells. Journal of Cardiovascular Pharmacology. 67(6). 510–518. 48 indexed citations
12.
Kuang, Peng, Mingjia Tan, Weihua Zhou, Qiang Zhang, & Yi Sun. (2016). SAG/RBX2 E3 ligase complexes with UBCH10 and UBE2S E2s to ubiquitylate β-TrCP1 via K11-linkage for degradation. Scientific Reports. 6(1). 37441–37441. 34 indexed citations
13.
Kuang, Peng, Lu-Shan Liu, Dangheng Wei, et al.. (2015). P2X7R is involved in the progression of atherosclerosis by promoting NLRP3 inflammasome activation. International Journal of Molecular Medicine. 35(5). 1179–1188. 110 indexed citations
14.
Altaf, Afrasyab, Peng Qu, Yang Zhao, et al.. (2015). Correlation of NLRP3 with severity and prognosis of coronary atherosclerosis in acute coronary syndrome patients. Heart and Vessels. 31(8). 1218–1229. 75 indexed citations
15.
Li, Bing, Shengxiang Ren, Xuefei Li, et al.. (2013). MiR-21 overexpression is associated with acquired resistance of EGFR-TKI in non-small cell lung cancer. Lung Cancer. 83(2). 146–153. 157 indexed citations
16.
17.
Ren, Shengxiang, Xiaoxia Chen, Peng Kuang, et al.. (2012). Association of EGFR mutation or ALK rearrangement with expression of DNA repair and synthesis genes in never‐smoker women with pulmonary adenocarcinoma. Cancer. 118(22). 5588–5594. 47 indexed citations
18.
Ren, Shengxiang, Peng Kuang, Li-Mou Zheng, et al.. (2012). Analysis of Driver Mutations in Female Non-Smoker Asian Patients with Pulmonary Adenocarcinoma. Cell Biochemistry and Biophysics. 64(2). 155–160. 49 indexed citations
19.
20.
Tang, Ya‐ling, et al.. (2007). Opposite effects of WEB2086 on angiogenesis in atheromas and ischemic hindlimb of apoE gene deficient mice. Chinese Medical Journal. 120(10). 886–892. 1 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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