Xiaoning Peng

1.6k total citations
56 papers, 1.2k citations indexed

About

Xiaoning Peng is a scholar working on Molecular Biology, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xiaoning Peng has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Xiaoning Peng's work include Cancer-related molecular mechanisms research (7 papers), Gene expression and cancer classification (7 papers) and Circular RNAs in diseases (7 papers). Xiaoning Peng is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Gene expression and cancer classification (7 papers) and Circular RNAs in diseases (7 papers). Xiaoning Peng collaborates with scholars based in China, United States and Fiji. Xiaoning Peng's co-authors include Xiaomin Zeng, Sihua Peng, Xiyun Deng, Liangbiao Chen, Yue Li, Chunqiao Mi, Qianghua Xu, Wei Du, Xuefeng B. Ling and Peng Jiang and has published in prestigious journals such as Nature, PLoS ONE and Oncogene.

In The Last Decade

Xiaoning Peng

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoning Peng China 17 617 246 239 153 115 56 1.2k
Zhiping Tan China 21 487 0.8× 198 0.8× 82 0.3× 229 1.5× 29 0.3× 109 1.2k
Daichao Wu China 17 413 0.7× 551 2.2× 63 0.3× 42 0.3× 146 1.3× 37 1.6k
Qiang Kang China 21 345 0.6× 231 0.9× 217 0.9× 29 0.2× 29 0.3× 65 1.1k
David Bednarski United States 8 1.4k 2.3× 539 2.2× 156 0.7× 99 0.6× 22 0.2× 9 2.2k
Jingjing Gao China 21 386 0.6× 241 1.0× 456 1.9× 77 0.5× 21 0.2× 99 1.8k
Ioannis Kavakiotis Greece 11 848 1.4× 475 1.9× 637 2.7× 121 0.8× 29 0.3× 23 1.9k
Linnan Zhu China 23 594 1.0× 100 0.4× 193 0.8× 124 0.8× 18 0.2× 44 1.9k
Kun Zhang United States 22 559 0.9× 647 2.6× 198 0.8× 151 1.0× 75 0.7× 114 1.9k
Yunsheng Liu China 17 196 0.3× 147 0.6× 86 0.4× 54 0.4× 81 0.7× 79 879
Weijia Zhang China 24 1.1k 1.8× 111 0.5× 477 2.0× 167 1.1× 15 0.1× 114 2.0k

Countries citing papers authored by Xiaoning Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoning Peng. A scholar is included among the top collaborators of Xiaoning 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 Xiaoning Peng. Xiaoning 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.
2.
Zhu, Jianyu, Muyao Wu, Lian Xue, et al.. (2023). Amino acids and their roles in tumor immunotherapy of breast cancer. The Journal of Gene Medicine. 26(1). e3647–e3647. 2 indexed citations
3.
Zhang, Lupeng, Chiwen Qu, Shi Chen, et al.. (2023). Association of RNA-modification “writer” genes with prognosis and response to immunotherapy in patients with low-grade glioma. PLoS ONE. 18(1). e0279119–e0279119. 1 indexed citations
4.
Liu, Junjian, Chiwen Qu, Lupeng Zhang, et al.. (2023). A new hybrid algorithm for three-stage gene selection based on whale optimization. Scientific Reports. 13(1). 3783–3783. 19 indexed citations
5.
Tang, Yifan, Lupeng Zhang, Chiwen Qu, et al.. (2022). A novel prognostic model for cutaneous melanoma based on an immune-related gene signature and clinical variables. Scientific Reports. 12(1). 20374–20374. 3 indexed citations
6.
Deng, Fang, Chiwen Qu, Fang Yang, et al.. (2021). A Novel Prognostic Model of Endometrial Carcinoma Based on Clinical Variables and Oncogenomic Gene Signature. Frontiers in Molecular Biosciences. 7. 587822–587822. 8 indexed citations
7.
Qu, Chiwen, et al.. (2020). Harris Hawks optimization with information exchange. Applied Mathematical Modelling. 84. 52–75. 72 indexed citations
8.
Liu, Xing, Wenliang Yuan, Fang Deng, et al.. (2020). Prognostic value of miR-21 in gliomas: comprehensive study based on meta-analysis and TCGA dataset validation. Scientific Reports. 10(1). 4220–4220. 23 indexed citations
9.
Li, Yue, Xiaomin Zeng, Xuemei Tang, et al.. (2019). The role of microRNA-148a and downstream DLGAP1 on the molecular regulation and tumor progression on human glioblastoma. Oncogene. 38(47). 7234–7248. 21 indexed citations
10.
Li, Jian, Yong-Ping Lu, Oleg Tsuprykov, et al.. (2018). Folate treatment of pregnant rat dams abolishes metabolic effects in female offspring induced by a paternal pre-conception unhealthy diet. Diabetologia. 61(8). 1862–1876. 23 indexed citations
11.
Li, Renfa, et al.. (2016). Network Security Situation Prediction Approach Based on Clonal Selection and SCGM(1,1)c Model. 網際網路技術學刊. 17(3). 421–429. 2 indexed citations
12.
Li, Yue, Xiyun Deng, Xiaomin Zeng, & Xiaoning Peng. (2016). The Role of Mir-148a in Cancer. Journal of Cancer. 7(10). 1233–1241. 116 indexed citations
13.
Liu, Ning, Zhanyang Yu, Miaomiao Li, et al.. (2016). TNFAIP1 contributes to the neurotoxicity induced by Aβ25–35 in Neuro2a cells. BMC Neuroscience. 17(1). 51–51. 24 indexed citations
14.
He, Guangchun, Hui Yao, Liujiang Song, et al.. (2015). TGF-β Induces Degradation of PTHrP through Ubiquitin-Proteasome System in Hepatocellular Carcinoma. Journal of Cancer. 6(6). 511–518. 12 indexed citations
15.
Xiong, Jie, Zhitong Bing, Yanlin Su, Defeng Deng, & Xiaoning Peng. (2014). An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis. PLoS ONE. 9(5). e98419–e98419. 22 indexed citations
16.
Peng, Xiaoning, Xiaomin Zeng, Sihua Peng, Defeng Deng, & Jian Zhang. (2009). The Association Risk of Male Subfertility and Testicular Cancer: A Systematic Review. PLoS ONE. 4(5). e5591–e5591. 47 indexed citations
17.
Peng, Sihua, Xiaomin Zeng, Zheng‐Xiang Li, Xiaoning Peng, & Liangbiao Chen. (2009). Multi-class cancer classification through gene expression profiles: microRNA versus mRNA. Journal of genetics and genomics. 36(7). 409–416. 18 indexed citations
18.
Wang, Lei, et al.. (2006). An Improved AAM Fitting Algorithm for Extracting Human Facial Features. Dianzi xuebao. 3 indexed citations
19.
Coveney, Douglas, Xiaoning Peng, Chitralekha Bhattacharya, et al.. (2005). The Ter mutation in the dead end gene causes germ cell loss and testicular germ cell tumours. Nature. 435(7040). 360–364. 288 indexed citations
20.
Peng, Sihua, Qianghua Xu, Xuefeng B. Ling, et al.. (2003). Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines. FEBS Letters. 555(2). 358–362. 154 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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