Peng Wu

2.6k total citations
101 papers, 1.8k citations indexed

About

Peng Wu is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Peng Wu has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Artificial Intelligence. Recurrent topics in Peng Wu's work include RNA modifications and cancer (8 papers), Machine Learning in Bioinformatics (7 papers) and Cancer-related molecular mechanisms research (7 papers). Peng Wu is often cited by papers focused on RNA modifications and cancer (8 papers), Machine Learning in Bioinformatics (7 papers) and Cancer-related molecular mechanisms research (7 papers). Peng Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Peng Wu's co-authors include Yuehui Chen, Kunjie Wang, Li Wang, Qingfang Meng, Yongxiang Zhao, Jinfei Chen, Xinying Huo, Yongjun Fang, Fen Yang and Jing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Peng Wu

98 papers receiving 1.8k 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 Wu China 23 760 389 189 170 129 101 1.8k
Li Fang China 27 1.4k 1.8× 443 1.1× 263 1.4× 303 1.8× 58 0.4× 96 3.4k
Yoshihiko Hamamoto Japan 27 889 1.2× 416 1.1× 227 1.2× 370 2.2× 33 0.3× 126 2.9k
Hong Jiang China 24 826 1.1× 279 0.7× 438 2.3× 238 1.4× 22 0.2× 112 2.7k
Tingting He China 26 1.4k 1.9× 354 0.9× 70 0.4× 195 1.1× 26 0.2× 201 2.7k
Liwei Huang China 26 597 0.8× 122 0.3× 274 1.4× 110 0.6× 69 0.5× 85 1.7k
Baohua Zhang China 33 750 1.0× 457 1.2× 237 1.3× 198 1.2× 28 0.2× 146 3.1k
Jin Liu China 31 1.1k 1.4× 193 0.5× 90 0.5× 171 1.0× 37 0.3× 168 2.9k
Mano R. Maurya United States 27 811 1.1× 211 0.5× 45 0.2× 142 0.8× 37 0.3× 54 1.9k
Mark Carpenter United States 21 513 0.7× 235 0.6× 194 1.0× 94 0.6× 45 0.3× 68 1.9k
Jingwei Zheng China 27 517 0.7× 148 0.4× 97 0.5× 266 1.6× 28 0.2× 62 2.1k

Countries citing papers authored by Peng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wu. A scholar is included among the top collaborators of Peng Wu 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 Wu. Peng Wu 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.
Li, Chenlei, Jie Chen, Peng Wu, et al.. (2024). Plexin D1 negatively regulates macrophage-derived foam cell migration via the focal adhesion kinase/Paxillin pathway. Biochemical and Biophysical Research Communications. 725. 150236–150236. 2 indexed citations
3.
Chen, Huayou, et al.. (2024). An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology. Expert Systems with Applications. 264. 125867–125867. 5 indexed citations
4.
Ni, Ming, Jiannan Qiu, Peng Wu, et al.. (2024). Loss of macrophage TSC1 exacerbates sterile inflammatory liver injury through inhibiting the AKT/MST1/NRF2 signaling pathway. Cell Death and Disease. 15(2). 146–146. 5 indexed citations
5.
Peng, Chunhua, et al.. (2024). Optimal scheduling of integrated energy system considering renewable energy uncertainties based on distributionally robust adaptive MPC. Renewable Energy. 226. 120457–120457. 19 indexed citations
6.
Zhang, Shuai, Jinhua Long, Peng Wu, et al.. (2024). Galunisertib promotes bevacizumab-induced vascular normalization in nasopharyngeal carcinoma: Multi-parameter MRI evaluation. SHILAP Revista de lepidopterología. 32(3). 200858–200858. 3 indexed citations
7.
Luo, Li, et al.. (2023). Characterization of global research trends and prospects on sudden coronary death: A literature visualization analysis. Heliyon. 9(8). e18586–e18586. 3 indexed citations
8.
Jin, Xin, Peng Wu, Ping Li, et al.. (2023). Transcriptome analysis reveals insight into the protective effect of N-acetylcysteine against cadmium toxicity in Ganoderma lucidum (Polyporales: Polyporaceae). Environmental Science and Pollution Research. 30(20). 58436–58449. 5 indexed citations
9.
Huang, Jianjun, et al.. (2023). Detection of Black and Odorous Water in Gaofen-2 Remote Sensing Images Using the Modified DeepLabv3+ Model. Sustainability. 16(1). 92–92. 1 indexed citations
10.
Wang, Rong, Chunguang Ma, & Peng Wu. (2020). An Intrusion Detection Method Based on Federated Learning and Convolutional Neural Network. 20(4). 47. 14 indexed citations
11.
Jin, Gang, Yi Yang, Pang Yao, et al.. (2020). Association between CYP2A13 polymorphisms and lung cancer. Medicine. 99(50). e23289–e23289. 1 indexed citations
12.
Liang, Haibin, Xiaowei Fu, Peng Wu, et al.. (2019). SLC25A22 promotes proliferation and metastasis by activating MAPK/ERK pathway in gallbladder cancer. Cancer Cell International. 19(1). 33–33. 19 indexed citations
13.
Wang, Dong, et al.. (2019). Predicting subcellular localization of multisite proteins using differently weighted multi-label k-nearest neighbors sets. Technology and Health Care. 27(1_suppl). 185–193. 12 indexed citations
14.
Wang, Yaping, Xiaoyun Yang, Xiaoyan Sun, et al.. (2018). Bone marrow infiltrated Lnc-INSR induced suppressive immune microenvironment in pediatric acute lymphoblastic leukemia. Cell Death and Disease. 9(10). 1043–1043. 28 indexed citations
15.
Jin, Yan, Peng Wu, Wenjing Zhao, et al.. (2018). Long noncoding RNA LINC00165-induced by STAT3 exerts oncogenic properties via interaction with Polycomb Repressive Complex 2 to promote EMT in gastric cancer. Biochemical and Biophysical Research Communications. 507(1-4). 223–230. 10 indexed citations
16.
17.
Fang, Yi, Chang Xu, Peng Wu, et al.. (2017). Prognostic role of C-reactive protein in patients with nasopharyngeal carcinoma. Medicine. 96(45). e8463–e8463. 31 indexed citations
18.
Liu, Jia, Zhiwen Tao, Peng Wu, et al.. (2016). Exogenous HGF Prevents Cardiomyocytes from Apoptosis after Hypoxia via Up-Regulating Cell Autophagy. Cellular Physiology and Biochemistry. 38(6). 2401–2413. 25 indexed citations
19.
Wu, Peng, et al.. (2015). Puerarin improves cardiac function through regulation of energy metabolism in Streptozotocin-Nicotinamide induced diabetic mice after myocardial infarction. Biochemical and Biophysical Research Communications. 463(4). 1108–1114. 40 indexed citations
20.
Wu, Peng. (2010). Feature selection based on multi-objective evolutionary algorithm for intrusion detection. Computer Engineering and Applications Journal. 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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