Zhixiang Wu

534 total citations
35 papers, 325 citations indexed

About

Zhixiang Wu is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Zhixiang Wu has authored 35 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Cancer Research. Recurrent topics in Zhixiang Wu's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (3 papers). Zhixiang Wu is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (3 papers). Zhixiang Wu collaborates with scholars based in China, Switzerland and United States. Zhixiang Wu's co-authors include Haifeng Li, Jie Chen, Min Deng, Xin Dou, Jian Peng, Chao Tao, Ling Zhao, Jianping Hu, Chunhua Li and L. W. Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Chemosphere.

In The Last Decade

Zhixiang Wu

33 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhixiang Wu China 10 116 78 68 44 39 35 325
Fen He China 7 130 1.1× 57 0.7× 42 0.6× 45 1.0× 31 0.8× 15 361
Eric Smith Canada 6 105 0.9× 145 1.9× 202 3.0× 29 0.7× 36 0.9× 12 437
Shun Liu China 11 194 1.7× 37 0.5× 131 1.9× 23 0.5× 21 0.5× 23 528
Yani Zhang China 11 52 0.4× 29 0.4× 127 1.9× 32 0.7× 11 0.3× 50 401
Penglong Li China 8 74 0.6× 72 0.9× 81 1.2× 13 0.3× 26 0.7× 20 273
Yiping Xu China 11 73 0.6× 163 2.1× 152 2.2× 43 1.0× 44 1.1× 34 447
Xiaojie Cui China 11 207 1.8× 78 1.0× 67 1.0× 17 0.4× 11 0.3× 26 399
Bitao Jiang China 9 39 0.3× 185 2.4× 111 1.6× 54 1.2× 23 0.6× 30 378
Xiaodian Zhang China 11 44 0.4× 148 1.9× 74 1.1× 23 0.5× 25 0.6× 36 309
Panpan Zhu China 12 214 1.8× 217 2.8× 142 2.1× 70 1.6× 13 0.3× 26 611

Countries citing papers authored by Zhixiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhixiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiang Wu. A scholar is included among the top collaborators of Zhixiang 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 Zhixiang Wu. Zhixiang 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.
Wu, Zhixiang, et al.. (2025). Study on the predictability of new topics of scholars: A machine learning-based approach using knowledge networks. Journal of Informetrics. 19(1). 101637–101637. 1 indexed citations
2.
Wu, Zhixiang, et al.. (2025). Molecular insights into the unique activation and allosteric modulation mechanisms of the human mas-related G-protein-coupled receptor X1. International Journal of Biological Macromolecules. 317(Pt 1). 144815–144815.
3.
Wu, Zhixiang, et al.. (2024). Revealing the graded activation mechanism of neurotensin receptor 1. International Journal of Biological Macromolecules. 278(Pt 1). 134488–134488. 2 indexed citations
4.
Wu, Zhixiang, et al.. (2024). ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots. Journal of Chemical Information and Modeling. 64(8). 3548–3557. 2 indexed citations
5.
Sun, Xiaohan, et al.. (2024). GraphPBSP: Protein binding site prediction based on Graph Attention Network and pre-trained model ProstT5. International Journal of Biological Macromolecules. 282(Pt 1). 136933–136933. 6 indexed citations
6.
Wang, Jin, et al.. (2024). Association between Higher Expression of Vav1 in Hepatocellular Carcinoma and Unfavourable Clinicopathological Features and Prognosis. Protein and Peptide Letters. 31(9). 706–713. 1 indexed citations
7.
Wu, Zhixiang, et al.. (2023). Subspace-based higher-order compressive sensing algorithm for raypath separation in a shallow-water waveguide. Digital Signal Processing. 141. 104154–104154.
8.
Wu, Zhixiang, et al.. (2023). Dynamic Insights into the Self-Activation Pathway and Allosteric Regulation of the Orphan G-Protein-Coupled Receptor GPR52. Journal of Chemical Information and Modeling. 63(18). 5847–5862. 5 indexed citations
9.
Wang, Xiaoli, et al.. (2023). Study of the Allosteric Mechanism of Human Mitochondrial Phenylalanyl-tRNA Synthetase by Transfer Entropy via an Improved Gaussian Network Model and Co-evolution Analyses. The Journal of Physical Chemistry Letters. 14(14). 3452–3460. 3 indexed citations
10.
Shi, Xiaodong, et al.. (2022). Study on dietary intake, risk assessment, and molecular toxicity mechanism of benzo[α]pyrene in college students in China Bashu area. Food Science & Nutrition. 10(12). 4155–4167. 3 indexed citations
11.
Wu, Zhixiang, et al.. (2022). Allosteric mechanism for SL RNA recognition by polypyrimidine tract binding protein RRM1: An atomistic MD simulation and network-based study. International Journal of Biological Macromolecules. 221. 763–772. 5 indexed citations
12.
Wu, Zhixiang, et al.. (2022). Specific recognition between YTHDF3 and m6A‐modified RNA: An all‐atom molecular dynamics simulation study. Proteins Structure Function and Bioinformatics. 90(11). 1965–1972. 4 indexed citations
13.
Lai, Jiancheng, Chunyong Wang, Wei Yan, et al.. (2021). Influence of a target’s inclination on LiDAR waveform and its application. IET Optoelectronics. 16(1). 27–33. 1 indexed citations
14.
Wu, Zhixiang, Yichen Hu, Tao Xie, et al.. (2020). BP[dG]-induced distortions to DNA polymerase and DNA duplex: A detailed mechanism of BP adducts blocking replication. Food and Chemical Toxicology. 140. 111325–111325. 11 indexed citations
15.
16.
Xie, Tao, Zhixiang Wu, Jinke Gu, et al.. (2019). The global motion affecting electron transfer in Plasmodium falciparum type II NADH dehydrogenases: a novel non-competitive mechanism for quinoline ketone derivative inhibitors. Physical Chemistry Chemical Physics. 21(33). 18105–18118. 9 indexed citations
17.
Meng, Tao, et al.. (2019). Entity Recognition of Intelligence Method Based on Deep Learning: Taking Area of Security Intelligence for Example. Shuju fenxi yu zhishi faxian. 3(10). 20–28. 3 indexed citations
18.
Yin, Chong, Ye Tian, Yang Yu, et al.. (2019). A novel long noncoding RNA AK016739 inhibits osteoblast differentiation and bone formation. Journal of Cellular Physiology. 234(7). 11524–11536. 30 indexed citations
19.
Wu, Zhixiang, et al.. (2007). Microarray-based Ms-SNuPE: Near-quantitative analysis for a high-throughput DNA methylation. Biosensors and Bioelectronics. 23(9). 1333–1339. 14 indexed citations
20.
Wu, Zhixiang, et al.. (2000). Effects of metabolites of benzo(a)pyrene on unschedule DNA synthesis in BALB/3T3 cell line. Chemosphere. 41(1-2). 139–142. 6 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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