Minjie Mou

1.2k total citations
30 papers, 941 citations indexed

About

Minjie Mou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Minjie Mou has authored 30 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 4 papers in Spectroscopy. Recurrent topics in Minjie Mou's work include Computational Drug Discovery Methods (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Machine Learning in Bioinformatics (7 papers). Minjie Mou is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Machine Learning in Bioinformatics (7 papers). Minjie Mou collaborates with scholars based in China, Canada and United States. Minjie Mou's co-authors include Feng Zhu, Yongchao Luo, Fengcheng Li, Yunxia Wang, Jing Tang, Ziqi Pan, Hanyu Zhang, Jiayi Yin, Weiwei Xue and Jianbo Fu and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Genome biology.

In The Last Decade

Minjie Mou

29 papers receiving 934 citations

Peers

Minjie Mou

CTM

SPECT

Yongchao Luo China

Xichen Lian China

Alina Malyutina Finland

Jianbo Fu China

Zhaorong Li China

Ziaurrehman Tanoli Finland

Elena Santonico Italy

Zhining Wen China

Stefan Naulaerts Belgium

Yongchao Luo China

Minjie Mou

581 ×0.9

158 ×0.6

CTM

102 ×0.8

58 ×0.8

82 ×1.2

SPECT

Citations per year, relative to Minjie Mou Minjie Mou (= 1×) peers Yongchao Luo

Countries citing papers authored by Minjie Mou

Since Specialization

Citations

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

Fields of papers citing papers by Minjie Mou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjie Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Minjie Mou. A scholar is included among the top collaborators of Minjie Mou 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 Minjie Mou. Minjie Mou 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

Mou, Minjie, Yintao Zhang, Yuntao Qian, et al.. (2025). druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds. Journal of Pharmaceutical Analysis. 15(6). 101298–101298. 1 indexed citations

Liu, Jie, Xingang Liu, Xuedong Li, et al.. (2025). RadioPharm: the database of radiopharmaceuticals. Nucleic Acids Research. 54(D1). D1608–D1615. 1 indexed citations

Liu, Xingang, Xinyu Liu, Minjie Mou, et al.. (2025). Discovery of selective HDAC6 inhibitors driven by artificial intelligence and molecular dynamics simulation approaches. Journal of Pharmaceutical Analysis. 15(8). 101338–101338.

Mou, Minjie, Zhichao Zhang, Ziqi Pan, & Feng Zhu. (2025). Deep Learning for Predicting Biomolecular Binding Sites of Proteins. Research. 8. 615–615. 4 indexed citations

Tang, Jing, Minjie Mou, Xin Zheng, et al.. (2024). Strategy for Identifying a Robust Metabolomic Signature Reveals the Altered Lipid Metabolism in Pituitary Adenoma. Analytical Chemistry. 96(12). 4745–4755. 2 indexed citations

Yang, Mengjie, Xinyuan Yu, Ying Zhou, et al.. (2024). MolBiC: the cell-based landscape illustrating molecular bioactivities. Nucleic Acids Research. 53(D1). D1683–D1691. 1 indexed citations

Zheng, Lingyan, Mingkun Lu, Ziqi Pan, et al.. (2024). AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding. Genome biology. 25(1). 41–41. 38 indexed citations

Li, Fengcheng, Minjie Mou, Weize Xu, et al.. (2024). DrugMAP 2.0: molecular atlas and pharma-information of all drugs. Nucleic Acids Research. 53(D1). D1372–D1382. 10 indexed citations

Mou, Minjie, Ziqi Pan, Lingyan Zheng, et al.. (2023). A Transformer-Based Ensemble Framework for the Prediction of Protein–Protein Interaction Sites. Research. 6. 240–240. 68 indexed citations

10.

Yin, Jiayi, Hanyu Zhang, Xiuna Sun, et al.. (2023). Decoding Drug Response With Structurized Gridding Map-Based Cell Representation. IEEE Journal of Biomedical and Health Informatics. 29(3). 1702–1713. 10 indexed citations

11.

Zhang, Yintao, Ying Zhou, Yuan Zhou, et al.. (2023). TheMarker: a comprehensive database of therapeutic biomarkers. Nucleic Acids Research. 52(D1). D1450–D1464. 40 indexed citations

12.

Luo, Yongchao, Panpan Wang, Minjie Mou, et al.. (2023). A novel strategy for designing the magic shotguns for distantly related target pairs. Briefings in Bioinformatics. 24(1). 11 indexed citations

13.

Wang, Yunxia, Ziqi Pan, Minjie Mou, et al.. (2023). A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder. Nucleic Acids Research. 51(21). e110–e110. 38 indexed citations

14.

Pan, Ziqi, et al.. (2023). Is fragment-based graph a better graph-based molecular representation for drug design? A comparison study of graph-based models. Computers in Biology and Medicine. 169. 107811–107811. 6 indexed citations

15.

Zhang, Ying, Huaicheng Sun, Wei Zhang, et al.. (2023). CellSTAR: a comprehensive resource for single-cell transcriptomic annotation. Nucleic Acids Research. 52(D1). D859–D870. 6 indexed citations

16.

Mou, Minjie, Ziqi Pan, Mingkun Lu, et al.. (2022). Application of Machine Learning in Spatial Proteomics. Journal of Chemical Information and Modeling. 62(23). 5875–5895. 33 indexed citations

17.

Zhang, Song, Xiuna Sun, Minjie Mou, et al.. (2022). REGLIV: Molecular regulation data of diverse living systems facilitating current multiomics research. Computers in Biology and Medicine. 148. 105825–105825. 11 indexed citations

18.

Tang, Jing, Minjie Mou, Yunxia Wang, Yongchao Luo, & Feng Zhu. (2020). MetaFS: Performance assessment of biomarker discovery in metaproteomics. Briefings in Bioinformatics. 22(3). 79 indexed citations

19.

Yang, Qingxia, Bo Li, Sijie Chen, et al.. (2020). MMEASE: Online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis. Journal of Proteomics. 232. 104023–104023. 99 indexed citations

20.

Hong, Jiajun, Yongchao Luo, Minjie Mou, et al.. (2019). Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery. Briefings in Bioinformatics. 21(5). 1825–1836. 103 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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