Linkai Mou

410 citations
11 papers · 309 · h-index 6

Impact in

Papers in

    • Protein Structure and Dynamics 6
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA and protein synthesis mechanisms 2
    • Cancer-related gene regulation 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 2
    • Computational Drug Discovery Methods 2

Linkai Mou

11 papers receiving 304 citations

Peers

Linkai Mou
Comparison fields: 5 of 58
  • Computational Theory and Mathematics 134
  • Molecular Biology 269
  • Toxicology 10
  • Pharmacology 13
  • Spectroscopy 22
Replace Zhen Wah Tan with:
Zhen Wah Tan Singapore
T.J. Rettenmaier United States
Julie E. Cansfield United Kingdom
John Strelow United States
Shuoyan Tan China
Finton Sirockin Switzerland
Mariarosaria Ferraro Italy
Sabine Schultes Austria
Harrison J. Hocker United States
Amr H. Mahmoud Switzerland
Linkai Mou relative to Zhen Wah Tan Singapore Zhen Wah Tan's profile →
Citations per field
00.5×4.8×
Zhen Wah Tan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Linkai Mou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linkai Mou Line = papers co-authored together Linkai Mou links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013166
2 201384
3 202114
4 201913
5 201611
6 20237
7 20205
8 20144
9 20193
10 20241
11 20211

About Linkai Mou

Linkai Mou is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related gene regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ubiquitin and proteasome pathways (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (134 citations), Molecular Biology (269 citations), Toxicology (10 citations), Pharmacology (13 citations) and Spectroscopy (22 citations). Linkai Mou has collaborated with scholars based in China and Thailand. Frequent co-authors include Shaoyong Lu, Jian Zhang, Zhimin Huang, Yaqin Liu, Yanlong Zhao, Zhongjie Chen, Wenkang Huang, Yu Luo, Tingjun Hou and Xinyi Liu. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecular Diversity, Frontiers in Cell and Developmental Biology, Bioinformatics and OncoTargets and Therapy.

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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