Odin Zhang

783 total citations
27 papers, 328 citations indexed

About

Odin Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Odin Zhang has authored 27 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 8 papers in Materials Chemistry. Recurrent topics in Odin Zhang's work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Materials Science (7 papers). Odin Zhang is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Materials Science (7 papers). Odin Zhang collaborates with scholars based in China, United States and Macao. Odin Zhang's co-authors include Tingjun Hou, Chang‐Yu Hsieh, Yu Kang, Yafeng Deng, Hongyan Du, Peichen Pan, Jintu Zhang, Guangyong Chen, Xujun Zhang and Chao Shen and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Odin Zhang

23 papers receiving 325 citations

Peers

Odin Zhang

CTM

Xiaochu Tong China

Kristy A. Carpenter United States

Navneet Bung India

Derek van Tilborg Netherlands

Jintu Zhang China

Yehor S. Malets Ukraine

Tomasz Danel Poland

Maryam Bagherian United States

Francisco Cedrón Spain

Benoît Baillif United Kingdom

Xiaochu Tong China

Odin Zhang

164 ×0.8

185 ×1.0

CTM

82 ×0.9

17 ×0.7

18 ×0.7

Citations per year, relative to Odin Zhang Odin Zhang (= 1×) peers Xiaochu Tong

Countries citing papers authored by Odin Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Odin Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Odin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Odin Zhang. A scholar is included among the top collaborators of Odin 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 Odin Zhang. Odin Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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.

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.

Yu, Yuntao, Chenghong Hu, Lingxiao Zhou, et al.. (2025). Structure-based design of anticancer drugs based on β-elemene: Research foundations and development potential. Journal of Pharmaceutical Analysis. 15(11). 101325–101325.

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.

Wang, Jike, Yangyang Zhang, Chao Shen, et al.. (2025). Token-Mol 1.0: tokenized drug design with large language models. Nature Communications. 16(1). 4416–4416. 5 indexed citations

Zhang, Xujun, Gaoqi Weng, Chao Shen, et al.. (2025). HawkDock version 2: an updated web server to predict and analyze the structures of protein–protein complexes. Nucleic Acids Research. 53(W1). W306–W315. 2 indexed citations

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

Li, Shuai, Jike Wang, Odin Zhang, et al.. (2024). ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning. Nature Communications. 15(1). 10127–10127. 10 indexed citations

Huang, Yufei, Siyuan Li, Lirong Wu, et al.. (2024). Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12662–12670. 1 indexed citations

10.

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

11.

Zhang, Odin, Gaoqi Weng, Hui Zhang, et al.. (2024). Durian: A Comprehensive Benchmark for Structure-Based 3D Molecular Generation. Journal of Chemical Information and Modeling. 65(1). 173–186. 3 indexed citations

12.

Wang, Jike, Hao Luo, Mingyang Wang, et al.. (2024). 3DSMILES-GPT: 3D molecular pocket-based generation with token-only large language model. Chemical Science. 16(2). 637–648. 16 indexed citations

13.

Wang, Xiaorui, Xiaodan Yin, Dejun Jiang, et al.. (2024). Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites. Nature Communications. 15(1). 7348–7348. 20 indexed citations

14.

Chen, Guangyong, Odin Zhang, Xujun Zhang, et al.. (2024). Enabling target-aware molecule generation to follow multi objectives with Pareto MCTS. Communications Biology. 7(1). 1074–1074. 2 indexed citations

15.

Lin, Haitao, Yufei Huang, Odin Zhang, et al.. (2024). DiffBP: generative diffusion of 3D molecules for target protein binding. Chemical Science. 16(3). 1417–1431. 12 indexed citations

16.

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

17.

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

18.

Zhang, Xujun, Chao Shen, Odin Zhang, et al.. (2023). Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency. Briefings in Bioinformatics. 25(1). 9 indexed citations

19.

Zhang, Odin, Jintu Zhang, Xujun Zhang, et al.. (2023). ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nature Machine Intelligence. 5(9). 1020–1030. 55 indexed citations

20.

Zhang, Odin, Tianyue Wang, Gaoqi Weng, et al.. (2023). Learning on topological surface and geometric structure for 3D molecular generation. Nature Computational Science. 3(10). 849–859. 36 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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