Xujun Zhang

2.8k total citations · 1 hit paper
75 papers, 1.9k citations indexed

About

Xujun Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xujun Zhang has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 33 papers in Computational Theory and Mathematics and 17 papers in Materials Chemistry. Recurrent topics in Xujun Zhang's work include Computational Drug Discovery Methods (33 papers), Protein Structure and Dynamics (20 papers) and Machine Learning in Materials Science (14 papers). Xujun Zhang is often cited by papers focused on Computational Drug Discovery Methods (33 papers), Protein Structure and Dynamics (20 papers) and Machine Learning in Materials Science (14 papers). Xujun Zhang collaborates with scholars based in China, United States and Macao. Xujun Zhang's co-authors include Tingjun Hou, Hongyan Diao, Chao Shen, Wenbiao Chen, Kefan Bi, Chang‐Yu Hsieh, Yu Kang, Dongsheng Cao, Lei Xu and Dejun Jiang and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Xujun Zhang

72 papers receiving 1.8k citations

Hit Papers

Discovery of antimicrobial peptides with notable antibact... 2025 2026 2025 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
    2025 33 citations Jike Wang, Yu Kang et al. Science Advances profile →

Peers

Xujun Zhang
Dnyaneshwar Kalyane India
Wenjuan Zhang China
Ioannis S. Vizirianakis Greece
Mingli Xiang China
Qianqian Wang China
Wenying Yu China
Hongchun Li China
Shuyan Liu China
Can Cai China
Tianqi Wang China
Dnyaneshwar Kalyane India
Xujun Zhang
Citations per year, relative to Xujun Zhang Xujun Zhang (= 1×) peers Dnyaneshwar Kalyane

Countries citing papers authored by Xujun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xujun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xujun Zhang. A scholar is included among the top collaborators of Xujun Zhang 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 Xujun Zhang. Xujun Zhang 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.
Zhang, Yan, et al.. (2026). MetalloDock: Decoding Metalloprotein–Ligand Interactions via Physics-Aware Deep Learning for Metalloprotein Drug Discovery. Journal of the American Chemical Society. 148(3). 3086–3101.
2.
Shen, Chao, Hongyan Du, Xujun Zhang, et al.. (2025). CarsiDock-Cov: A deep learning-guided approach for automated covalent docking and screening. Acta Pharmaceutica Sinica B. 15(11). 5758–5771. 1 indexed citations
3.
Shen, Chao, Xujun Zhang, Odin Zhang, et al.. (2025). Unlocking the application potential of AlphaFold3-like approaches in virtual screening. Chemical Science. 17(5). 2858–2879.
4.
Wang, Jike, Yu Kang, Peichen Pan, et al.. (2025). Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Science Advances. 11(10). eads8932–eads8932. 33 indexed citations breakdown →
5.
Wang, Xiaorui, Xiaodan Yin, Xujun Zhang, et al.. (2025). A virtual platform for automated hybrid organic-enzymatic synthesis planning. Nature Communications. 16(1). 10929–10929.
6.
Shen, Chao, Xujun Zhang, Huiyong Sun, et al.. (2025). Benchmarking AI-powered docking methods from the perspective of virtual screening. Nature Machine Intelligence. 7(3). 509–520. 9 indexed citations
7.
Zhang, Odin, Yufei Huang, Xujun Zhang, et al.. (2024). FragGen: towards 3D geometry reliable fragment-based molecular generation. Chemical Science. 15(46). 19452–19465. 2 indexed citations
8.
Du, Hongyan, Xujun Zhang, Zhenhua Wu, et al.. (2024). CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screening. Nucleic Acids Research. 53(D1). D1322–D1327. 11 indexed citations
9.
Zhang, Xiangying, Junming Fan, Tao Peng, et al.. (2023). Multimodal data-based deep learning model for sitting posture recognition toward office workers’ health promotion. Sensors and Actuators A Physical. 350. 114150–114150. 13 indexed citations
10.
Shen, Chao, Xujun Zhang, Tong Chen, et al.. (2023). CarsiDock: a deep learning paradigm for accurate protein–ligand docking and screening based on large-scale pre-training. Chemical Science. 15(4). 1449–1471. 29 indexed citations
11.
Du, Hongyan, Dejun Jiang, Odin Zhang, et al.. (2023). A flexible data-free framework for structure-based de novo drug design with reinforcement learning. Chemical Science. 14(43). 12166–12181. 10 indexed citations
12.
Zhang, Xujun, Odin Zhang, Chao Shen, et al.. (2023). Efficient and accurate large library ligand docking with KarmaDock. Nature Computational Science. 3(9). 789–804. 80 indexed citations
13.
Shen, Chao, Xujun Zhang, Chang‐Yu Hsieh, et al.. (2023). A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers. Chemical Science. 14(30). 8129–8146. 44 indexed citations
14.
Wang, Yuchong, Liang Hong, Jingjing Jiang, et al.. (2023). Osteopontin May Improve Postinjury Muscle Repair Via Matrix Metalloproteinases And tgf-β Activation in Regular Exercise. International Journal of Medical Sciences. 20(9). 1202–1211. 6 indexed citations
15.
Hu, Xueping, Jinping Pang, Changwei Chen, et al.. (2022). Discovery of novel non-steroidal selective glucocorticoid receptor modulators by structure- and IGN-based virtual screening, structural optimization, and biological evaluation. European Journal of Medicinal Chemistry. 237. 114382–114382. 20 indexed citations
16.
Wang, Gaoang, Jiahui Yu, Hongyan Du, et al.. (2022). VGSC-DB: an online database of voltage-gated sodium channels. Journal of Cheminformatics. 14(1). 75–75. 4 indexed citations
17.
Zhang, Xujun, Kefan Bi, Xiaoxuan Tu, et al.. (2021). Interleukin‐33 as an early predictor of cetuximab treatment efficacy in patients with colorectal cancer. Cancer Medicine. 10(23). 8338–8351. 10 indexed citations
18.
Wang, Yuchong, Xujun Zhang, Kefan Bi, & Hongyan Diao. (2021). Critical role of microRNAs in host and influenza A (H1N1) virus interactions. Life Sciences. 277. 119484–119484. 11 indexed citations
19.
Chen, Wenbiao, Kefan Bi, Xujun Zhang, Jingjing Jiang, & Hongyan Diao. (2020). In-depth characterization of the biomarkers based on tumor-infiltrated immune cells reveals implications for diagnosis and prognosis in hepatocellular carcinoma. SHILAP Revista de lepidopterología. 3. 100067–100067. 3 indexed citations
20.
Hou, Xianliang, Ping Zeng, Xujun Zhang, et al.. (2019). Shorter TCR β-Chains Are Highly Enriched During Thymic Selection and Antigen-Driven Selection. Frontiers in Immunology. 10. 299–299. 23 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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