Kaijie Mu

649 total citations
9 papers, 174 citations indexed

About

Kaijie Mu is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Kaijie Mu has authored 9 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Kaijie Mu's work include SARS-CoV-2 and COVID-19 Research (3 papers), Computational Drug Discovery Methods (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kaijie Mu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Computational Drug Discovery Methods (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kaijie Mu collaborates with scholars based in China, Australia and United States. Kaijie Mu's co-authors include Zhijian Xu, Zhengdan Zhu, Cheng Peng, Weiliang Zhu, Xinben Zhang, Yanqing Yang, Yulong Shi, Xiaoyu Wang, Xiaoyu Wang and Xiaoyu Wang and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and The Journal of Physical Chemistry Letters.

In The Last Decade

Kaijie Mu

9 papers receiving 173 citations

Peers

Kaijie Mu

MB

CTM

ID

OC

PTC

Xinben Zhang China

Candida Manelfi Italy

Louise Dunnett United Kingdom

Yulong Shi China

Vathan Kumar Taiwan

Manuel Sellner Switzerland

Lian Jacobs United States

Min‐Feng Hsu Taiwan

Lovika Mittal India

D. Fearon United Kingdom

Xinben Zhang China

Kaijie Mu

185 ×2.3

MB

138 ×1.8

CTM

95 ×1.3

ID

30 ×1.1

OC

12 ×0.6

PTC

Citations per year, relative to Kaijie Mu Kaijie Mu (= 1×) peers Xinben Zhang

Countries citing papers authored by Kaijie Mu

Since Specialization

Citations

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

Fields of papers citing papers by Kaijie Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaijie Mu

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

All Works

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9 of 9 papers shown

1.

Wang, Jiazheng, Li Zhuo, Kaijie Mu, et al.. (2025). Integrated 4D label-free proteome and SUMOylated proteome in glioma uncover novel pathological mechanisms and pave the way for precision therapy. PubMed. 4(4). 100253–100253. 1 indexed citations

2.

Nang, Sue C., Kaijie Mu, Limei Xu, et al.. (2024). Membrane lipid homeostasis dually regulates conformational transition of phosphoethanolamine transferase EptA. Nature Communications. 15(1). 10166–10166. 1 indexed citations

3.

Mu, Kaijie, et al.. (2023). Molecular dynamics simulations identify the topological weak spots of a protease CN2S8A. Journal of Molecular Graphics and Modelling. 124. 108571–108571. 5 indexed citations

4.

Mu, Kaijie, et al.. (2022). Halogen Bonds Exist between Noncovalent Ligands and Natural Nucleic Acids. Journal of Medicinal Chemistry. 65(6). 4424–4435. 22 indexed citations

5.

Huang, Yichen, Kaijie Mu, Yosuke Funato, et al.. (2021). Identification and mechanistic analysis of an inhibitor of the CorC Mg2+ transporter. iScience. 24(4). 102370–102370. 6 indexed citations

6.

Tian, Ye, Kaijie Mu, Yunxiang Lu, Zhijian Xu, & Honglai Liu. (2021). Computational insight into pnictogen bonds in the self-assembly of caged pnictogen compounds. Chemical Physics. 550. 111317–111317. 3 indexed citations

7.

Yang, Yanqing, Zhengdan Zhu, Xiaoyu Wang, et al.. (2020). Ligand-based approach for predicting drug targets and for virtual screening against COVID-19. Briefings in Bioinformatics. 22(2). 1053–1064. 37 indexed citations

8.

Peng, Cheng, Zhengdan Zhu, Yulong Shi, et al.. (2020). Computational Insights into the Conformational Accessibility and Binding Strength of SARS-CoV-2 Spike Protein to Human Angiotensin-Converting Enzyme 2. The Journal of Physical Chemistry Letters. 11(24). 10482–10488. 40 indexed citations

9.

Shi, Yulong, Xinben Zhang, Kaijie Mu, et al.. (2020). D3Targets-2019-nCoV: a webserver for predicting drug targets and for multi-target and multi-site based virtual screening against COVID-19. Acta Pharmaceutica Sinica B. 10(7). 1239–1248. 59 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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