Yong Peng

17.4k total citations · 4 hit papers
160 papers, 10.2k citations indexed

About

Yong Peng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yong Peng has authored 160 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 48 papers in Cancer Research and 28 papers in Oncology. Recurrent topics in Yong Peng's work include MicroRNA in disease regulation (29 papers), Cancer-related molecular mechanisms research (25 papers) and RNA modifications and cancer (24 papers). Yong Peng is often cited by papers focused on MicroRNA in disease regulation (29 papers), Cancer-related molecular mechanisms research (25 papers) and RNA modifications and cancer (24 papers). Yong Peng collaborates with scholars based in China, United States and Israel. Yong Peng's co-authors include Carlo M. Croce, Yuquan Wei, Xiawei Wei, Wenchen Pu, Xuelei Ma, Ji Nie, Jing Yang, Yizheng Zhang, Jiao Li and Jiankang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yong Peng

154 papers receiving 10.1k citations

Hit Papers

The role of MicroRNAs in ... 2016 2026 2019 2022 2016 2019 2020 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Peng China 48 7.1k 4.4k 1.7k 1.2k 741 160 10.2k
Xin Li China 55 5.5k 0.8× 3.4k 0.8× 1.9k 1.1× 1.2k 1.0× 1.0k 1.4× 390 9.6k
Rajiv Kumar Germany 52 5.3k 0.8× 2.1k 0.5× 3.2k 1.9× 959 0.8× 650 0.9× 259 9.6k
Hui Li China 55 8.3k 1.2× 4.6k 1.0× 1.2k 0.7× 766 0.6× 598 0.8× 458 12.9k
Jiří Zavadil United States 56 8.1k 1.1× 2.7k 0.6× 2.9k 1.7× 1.3k 1.0× 1.1k 1.5× 147 12.6k
Li Li China 57 8.9k 1.3× 2.8k 0.6× 1.9k 1.1× 1.6k 1.3× 784 1.1× 493 13.6k
Chenguang Wang China 60 7.8k 1.1× 3.2k 0.7× 2.8k 1.6× 644 0.5× 1.4k 1.8× 249 12.0k
Thorsten Cramer Germany 35 3.7k 0.5× 2.8k 0.6× 1.1k 0.7× 1.8k 1.5× 651 0.9× 78 8.2k
Hua Lu United States 51 7.4k 1.1× 1.5k 0.3× 3.7k 2.2× 596 0.5× 529 0.7× 225 10.1k
Hitoshi Nakagama Japan 55 7.6k 1.1× 3.9k 0.9× 3.3k 1.9× 877 0.7× 718 1.0× 219 11.1k
David W. M. Leung New Zealand 38 9.6k 1.4× 2.6k 0.6× 2.3k 1.3× 2.0k 1.6× 951 1.3× 173 15.3k

Countries citing papers authored by Yong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Peng. A scholar is included among the top collaborators of Yong 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 Yong Peng. Yong 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
2.
Ma, Rui, Xiaojin Wu, Lei Tian, et al.. (2025). NKp46 enhances type 1 innate lymphoid cell proliferation and function and anti-acute myeloid leukemia activity. Nature Communications. 16(1). 989–989.
3.
Zhang, Tingting, Zhang Li, Yue Ming, et al.. (2025). A positive feedback loop between TNS1 and ZEB1 promotes TGFβ-induced epithelial-to-mesenchymal transition in lung cancer. Communications Biology. 8(1). 1686–1686.
5.
Peng, Yong, et al.. (2024). Transcription Factor TFAP2B Exerts Neuroprotective Effects Targeting BNIP3-Mediated Mitophagy in Ischemia/Reperfusion Injury. Molecular Neurobiology. 61(10). 7319–7334. 5 indexed citations
6.
Xu, Fuyan, Jiao Li, Min Ai, et al.. (2024). Penfluridol inhibits melanoma growth and metastasis through enhancing von Hippel‒Lindau tumor suppressor‐mediated cancerous inhibitor of protein phosphatase 2A (CIP2A) degradation. SHILAP Revista de lepidopterología. 5(10). e758–e758. 1 indexed citations
7.
Xiao, Sai Jin, Shoubao Ma, Baofa Sun, et al.. (2024). The tumor-intrinsic role of the m 6 A reader YTHDF2 in regulating immune evasion. Science Immunology. 9(95). eadl2171–eadl2171. 30 indexed citations
8.
Meng, Zhongji, Yanli Peng, Song Fangmin, et al.. (2024). Identification of severe fever with thrombocytopenia syndrome virus isolates in the northwest of Hubei Province, China. Acta Tropica. 260. 107397–107397.
9.
Gao, Zhenguo, et al.. (2023). Efficacy and safety of anastomotic leak testing in gastric cancer: a randomized controlled trial. Surgical Endoscopy. 37(7). 5265–5273. 3 indexed citations
10.
Guo, Jiawei, et al.. (2023). BET proteins: Biological functions and therapeutic interventions. Pharmacology & Therapeutics. 243. 108354–108354. 47 indexed citations
11.
Zeng, Zhen, Yuanli Zuo, Yang Jin, Yong Peng, & Xiaofeng Zhu. (2022). Identification of Extracellular Matrix Signatures as Novel Potential Prognostic Biomarkers in Lung Adenocarcinoma. Frontiers in Genetics. 13. 872380–872380. 6 indexed citations
12.
Ma, Rui, Ting Lu, Zhenlong Li, et al.. (2021). An Oncolytic Virus Expressing IL15/IL15Rα Combined with Off-the-Shelf EGFR-CAR NK Cells Targets Glioblastoma. Cancer Research. 81(13). 3635–3648. 162 indexed citations
13.
Khawaled, Saleh, Giovanni Nigita, Rosario Distefano, et al.. (2020). Pleiotropic tumor suppressor functions of WWOX antagonize metastasis. Signal Transduction and Targeted Therapy. 5(1). 43–43. 26 indexed citations
14.
Wang, Tianfu, Zhiwei Huang, Niu Huang, et al.. (2019). Inhibition of KPNB1 Inhibits Proliferation and Promotes Apoptosis of Chronic Myeloid Leukemia Cells Through Regulation of E2F1. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Gou, Qiheng, Linbo Gao, Wenchen Pu, et al.. (2018). Long Noncoding RNA AB074169 Inhibits Cell Proliferation via Modulation of KHSRP-Mediated CDKN1a Expression in Papillary Thyroid Carcinoma. Cancer Research. 78(15). 4163–4174. 78 indexed citations
16.
Huang, Tianxiao, Li-Wa Shao, Yong Peng, et al.. (2018). N6-methyldeoxyadenine is a transgenerational epigenetic signal for mitochondrial stress adaptation. Nature Cell Biology. 21(3). 319–327. 126 indexed citations
17.
Chu, Jianhong, Shun He, Youcai Deng, et al.. (2014). Genetic Modification of T Cells Redirected toward CS1 Enhances Eradication of Myeloma Cells. Clinical Cancer Research. 20(15). 3989–4000. 92 indexed citations
18.
Peng, Yong, et al.. (2014). Role of endometrial cancer abnormal MMR protein in screening Lynch-syndrome families.. PubMed. 7(10). 7297–303. 23 indexed citations
19.
Xu, Wei, et al.. (2013). Study on medium and long-term hydrological forecasting based on data fusion. 32(6). 11–18. 1 indexed citations
20.
Nechama, Morris, Yong Peng, Paola Briata, et al.. (2009). KSRP-PMR1-exosome association determines parathyroid hormone mRNA levels and stability in transfected cells. BMC Cell Biology. 10(1). 70–70. 18 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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