Linkai Mou

410 total citations
11 papers, 309 citations indexed

About

Linkai Mou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Linkai Mou has authored 11 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Linkai Mou's work include Protein Structure and Dynamics (6 papers), Ubiquitin and proteasome pathways (2 papers) and Computational Drug Discovery Methods (2 papers). Linkai Mou is often cited by papers focused on Protein Structure and Dynamics (6 papers), Ubiquitin and proteasome pathways (2 papers) and Computational Drug Discovery Methods (2 papers). Linkai Mou collaborates with scholars based in China and Thailand. Linkai Mou's co-authors include Shaoyong Lu, Zhimin Huang, Jian Zhang, Yaqin Liu, Yu Luo, Wenkang Huang, Xinyi Liu, Zhongjie Chen, Yanlong Zhao and Tingjun Hou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Frontiers in Cell and Developmental Biology.

In The Last Decade

Linkai Mou

11 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linkai Mou China 6 269 134 28 23 22 11 309
Ken Borrelli United States 4 228 0.8× 132 1.0× 48 1.7× 32 1.4× 20 0.9× 5 284
Zhen Wah Tan Singapore 10 305 1.1× 149 1.1× 20 0.7× 29 1.3× 18 0.8× 14 371
Timothy Sheils United States 9 222 0.8× 130 1.0× 12 0.4× 19 0.8× 23 1.0× 12 313
Zhang Ji Singapore 7 309 1.1× 195 1.5× 38 1.4× 19 0.8× 22 1.0× 12 396
Julie E. Cansfield United Kingdom 4 229 0.9× 85 0.6× 40 1.4× 18 0.8× 22 1.0× 5 310
Shuoyan Tan China 8 227 0.8× 179 1.3× 43 1.5× 50 2.2× 13 0.6× 19 343
Harrison J. Hocker United States 5 302 1.1× 64 0.5× 29 1.0× 45 2.0× 41 1.9× 7 351
Maryse Lowinski United States 4 202 0.8× 85 0.6× 16 0.6× 50 2.2× 20 0.9× 4 271
Amr H. Mahmoud Switzerland 9 153 0.6× 83 0.6× 36 1.3× 49 2.1× 9 0.4× 20 233
Cornel Catana United States 10 188 0.7× 110 0.8× 61 2.2× 31 1.3× 42 1.9× 15 330

Countries citing papers authored by Linkai Mou

Since Specialization
Citations

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

Fields of papers citing papers by Linkai Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linkai Mou

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

All Works

11 of 11 papers shown
1.
2.
Li, Guozhen, et al.. (2023). Structural and energetic insights into the selective inhibition of PKMYT1 against WEE1. Journal of Biomolecular Structure and Dynamics. 42(6). 3010–3018. 7 indexed citations
3.
Wang, Qing, Yudi Liu, Guozhen Li, et al.. (2021). Deciphering the Mechanism of Gilteritinib Overcoming Lorlatinib Resistance to the Double Mutant I1171N/F1174I in Anaplastic Lymphoma Kinase. Frontiers in Cell and Developmental Biology. 9. 808864–808864. 14 indexed citations
4.
Liu, Yongguo, et al.. (2021). Prognostic Value of miR-1826 in Prostate Cancer and Its Regulatory Effect on Tumor Progression. OncoTargets and Therapy. Volume 14. 4467–4475. 1 indexed citations
5.
Mou, Linkai, et al.. (2020). Exploration of the selective binding mechanism of GSK3β via molecular modeling and molecular dynamics simulation studies. Medicinal Chemistry Research. 29(4). 690–698. 5 indexed citations
6.
Zhang, Hao, Xinheng He, Duan Ni, et al.. (2019). How does the novel T315L mutation of breakpoint cluster region-abelson (BCR-ABL) kinase confer resistance to ponatinib: a comparative molecular dynamics simulation study. Journal of Biomolecular Structure and Dynamics. 38(1). 89–100. 13 indexed citations
7.
Mou, Linkai, et al.. (2019). The structural basis of the autoinhibition mechanism of glycogen synthase kinase 3β (GSK3β): molecular modeling and molecular dynamics simulation studies. Journal of Biomolecular Structure and Dynamics. 38(6). 1–10. 3 indexed citations
8.
9.
Mou, Linkai, Molin Li, Shaoyong Lu, et al.. (2014). Unraveling the Role of Arg4 and Arg6 in the Auto‐Inhibition Mechanism of GSK3β From Molecular Dynamics Simulation. Chemical Biology & Drug Design. 83(6). 721–730. 4 indexed citations
10.
Huang, Zhimin, Linkai Mou, Qiancheng Shen, et al.. (2013). ASD v2.0: updated content and novel features focusing on allosteric regulation. Nucleic Acids Research. 42(D1). D510–D516. 84 indexed citations
11.
Huang, Wenkang, Shaoyong Lu, Zhimin Huang, et al.. (2013). Allosite: a method for predicting allosteric sites. Bioinformatics. 29(18). 2357–2359. 166 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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