Mao Shu

577 total citations
31 papers, 427 citations indexed

About

Mao Shu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Mao Shu has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 8 papers in Oncology. Recurrent topics in Mao Shu's work include Computational Drug Discovery Methods (16 papers), Chemical Synthesis and Analysis (4 papers) and Machine Learning in Bioinformatics (4 papers). Mao Shu is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Chemical Synthesis and Analysis (4 papers) and Machine Learning in Bioinformatics (4 papers). Mao Shu collaborates with scholars based in China, United States and Thailand. Mao Shu's co-authors include Mei Hu, Zhiliang Li, Hui Wen Ng, Huixiao Hong, Weida Tong, Weigong Ge, Roger Perkins, Heng Luo, Yong‐Jun Jiang and Yang Li and has published in prestigious journals such as Chemistry - A European Journal, Molecules and BMC Bioinformatics.

In The Last Decade

Mao Shu

28 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao Shu China 13 237 151 92 60 45 31 427
Shagun Krishna India 15 256 1.1× 96 0.6× 144 1.6× 6 0.1× 25 0.6× 28 478
Catherine Piveteau France 12 220 0.9× 44 0.3× 94 1.0× 21 0.3× 12 0.3× 25 496
Jonathan Blanchet Canada 9 194 0.8× 45 0.3× 33 0.4× 101 1.7× 28 0.6× 11 359
Nigel Howard United Kingdom 9 315 1.3× 118 0.8× 103 1.1× 33 0.6× 5 0.1× 11 469
Fereidoon Daryaee United States 12 227 1.0× 77 0.5× 94 1.0× 19 0.3× 5 0.1× 18 463
Li Liang China 11 185 0.8× 88 0.6× 38 0.4× 16 0.3× 9 0.2× 38 374
M Carraz France 11 154 0.6× 41 0.3× 152 1.7× 71 1.2× 12 0.3× 39 473
Valentin Ilyin United States 15 799 3.4× 76 0.5× 21 0.2× 143 2.4× 18 0.4× 30 903
Jan S. Kramer Germany 13 211 0.9× 51 0.3× 118 1.3× 31 0.5× 5 0.1× 32 530
Baoxian Wei United States 7 300 1.3× 18 0.1× 142 1.5× 21 0.3× 21 0.5× 8 508

Countries citing papers authored by Mao Shu

Since Specialization
Citations

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

Fields of papers citing papers by Mao Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Shu. A scholar is included among the top collaborators of Mao Shu 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 Mao Shu. Mao Shu 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.
Liu, Rong, et al.. (2024). Discovery of novel bromodomain-containing protein 4 (BRD4-BD1) inhibitors combined with 3d-QSAR, molecular docking and molecular dynamics in silico. Journal of Biomolecular Structure and Dynamics. 43(15). 8514–8531. 2 indexed citations
3.
4.
Li, Jiali, et al.. (2024). Engineering novel scaffolds for specific HDAC11 inhibitors against metabolic diseases exploiting deep learning, virtual screening, and molecular dynamics simulations. International Journal of Biological Macromolecules. 262(Pt 2). 129810–129810. 4 indexed citations
5.
Zhao, Jing, et al.. (2023). 3D-QSAR, molecular docking, and molecular dynamics analysis of dihydrodiazaindolone derivatives as PARP-1 inhibitors. Journal of Molecular Modeling. 29(5). 131–131. 3 indexed citations
6.
Li, Jiali, et al.. (2023). 3D-QSAR, molecular docking and molecular dynamics analysis of pyrazole derivatives as MALT1 inhibitors. New Journal of Chemistry. 47(42). 19596–19607. 2 indexed citations
7.
Shen, Yan, Qingyu Zhang, Lu Zhang, et al.. (2023). Virtual Screening Identifies Tipranavir As a SIRT1 Inhibitor With anti-hepatocarcinoma Effect. Future Medicinal Chemistry. 15(5). 437–451. 5 indexed citations
8.
9.
Chen, Yi, Chunmei Xu, Tao Wu, et al.. (2020). 3D-QSAR, HQSAR, molecular docking, and new compound design study of 1,3,6-trisubstituted 1,4-diazepan-7-ones as human KLK7 inhibitors. Medicinal Chemistry Research. 29(6). 1012–1029. 20 indexed citations
10.
Chen, Yi, Mao Shu, Wenwen Zhao, et al.. (2019). AuCl3‐Catalyzed Ring‐Closing Carbonyl–Olefin Metathesis. Chemistry - A European Journal. 26(9). 1941–1946. 31 indexed citations
11.
Wang, Juan, Mao Shu, Yuanqiang Wang, et al.. (2016). Identification of potential CCR5 inhibitors through pharmacophore-based virtual screening, molecular dynamics simulation and binding free energy analysis. Molecular BioSystems. 12(11). 3396–3406. 14 indexed citations
12.
Shu, Mao, Hui Wen Ng, Michael S. Orr, et al.. (2016). Homology Model and Ligand Binding Interactions of the Extracellular Domain of the Human <i>α</i>4<i>β</i>2 Nicotinic Acetylcholine Receptor. Journal of Biomedical Science and Engineering. 9(1). 41–100. 5 indexed citations
13.
Ng, Hui Wen, Mao Shu, Heng Luo, et al.. (2015). Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium. Journal of Genetics. 94(4). 731–740. 12 indexed citations
14.
Ng, Hui Wen, Mao Shu, Heng Luo, et al.. (2015). Estrogenic Activity Data Extraction and in Silico Prediction Show the Endocrine Disruption Potential of Bisphenol A Replacement Compounds. Chemical Research in Toxicology. 28(9). 1784–1795. 59 indexed citations
15.
Shu, Mao, Rui Yu, Juan Wang, et al.. (2012). Predicting the Activity of Antimicrobial Peptides with Amino Acid Topological Information. Medicinal Chemistry. 9(1). 32–44. 12 indexed citations
16.
Shu, Mao, et al.. (2010). Molecular dynamics simulation of oseltamivir resistance in neuraminidase of avian influenza H5N1 virus. Journal of Molecular Modeling. 17(3). 587–592. 19 indexed citations
17.
Li, Yang, et al.. (2009). ST-scale as a novel amino acid descriptor and its application in QSAM of peptides and analogues. Amino Acids. 38(3). 805–816. 63 indexed citations
18.
Shu, Mao. (2008). New Descriptors of Amino Acids and Its Applications to Peptide Quantitative Structure-activity Relationship. Chinese Journal of Structural Chemistry. 1 indexed citations
19.
Liang, Guizhao, et al.. (2008). A set of new amino acid descriptors applied in prediction of MHC class I binding peptides. European Journal of Medicinal Chemistry. 44(3). 1144–1154. 15 indexed citations
20.
Shu, Mao. (2000). Ab Initio Study on the H - Bonding Complexes formed from Phenol and a Series of Amides. 3 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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