Mingxia Liao

764 citations
17 papers · 650 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Neuroscience and Neuropharmacology Research 4
    • Photoreceptor and optogenetics research 3

Mingxia Liao

16 papers receiving 638 citations

Peers

Mingxia Liao
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 327
  • Neurology 128
  • Developmental Neuroscience 29
  • Molecular Biology 361
  • Endocrine and Autonomic Systems 31
Replace Nathalie Cholet with:
Nathalie Cholet France
Valerie C. Bomben United States
Guilian Tian United States
Carlos B. Rueda Spain
Guang Bai United States
Gary Pastor Switzerland
Yoshifumi Kagamiishi Japan
Carmen R. Sunico Spain
Youming Lu China
Christopher B. Ransom United States
Mingxia Liao relative to Nathalie Cholet France Nathalie Cholet's profile →
Citations per field
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Nathalie Cholet · 1×
Citations per year

Countries citing papers authored by Mingxia Liao

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingxia Liao, 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 Mingxia Liao Line = papers co-authored together Mingxia Liao links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006159
2 2004151
3 2006128
4 201236
5 200934
6 201627
7 201621
8 199615
9 200414
10 201914
11 201014
12 201413
13 201413
14 20236
15 19974
16 20101
17 20250

About Mingxia Liao

Mingxia Liao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neurology and Neurology, having authored 17 papers that have together received 650 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Circadian rhythm and melatonin (3 papers), Photoreceptor and optogenetics research (3 papers), Quantum Dots Synthesis And Properties (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (327 citations), Neurology (128 citations), Developmental Neuroscience (29 citations), Molecular Biology (361 citations) and Endocrine and Autonomic Systems (31 citations). Mingxia Liao has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Qi Wan, Baosong Liu, John G. Mielke, Ke Ning, Yonghong Chen, Youssef El-Hayek, Michael G. Fehlings, Wen Jiang, Lei Li and R. Suzanne Zukin. Their work appears in journals such as Journal of Neuroscience, International Journal of Environmental Research and Public Health, Sensors, Aging Cell and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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