Zhixiang Liao

3.0k citations
13 papers · 968 indexed · h-index 8
Topics
Parkinson's Disease Mechanisms and Treatments (4 papers)Nuclear Receptors and Signaling (3 papers)Mitochondrial Function and Pathology (2 papers)
Partner nations
United StatesChinaYemen

In The Last Decade

Zhixiang Liao

13 papers receiving 954 citations

Peers

Zhixiang Liao
Comparison fields: 5 of 104
  • Molecular Biology 546
  • Neurology 405
  • Cellular and Molecular Neuroscience 246
  • Physiology 153
  • Genetics 113
Replace Giulietta Riboldi with:
Giulietta Riboldi Italy
A. Nascimento Spain
Silvia Corrochano Spain
Alexander E. Volk Germany
Shingo Kariya United States
Alejandro D. Roth Chile
Peggy Allred United States
Hidetoshi Date Japan
XiaoOu Mao United States
Federica Rizzo Italy
Zhixiang Liao relative to Giulietta Riboldi Italy Giulietta Riboldi's profile →
Citations per field
00.5×1.5×
Giulietta Riboldi · 1×
Citations per year

Countries citing papers authored by Zhixiang Liao

Since Specialization
Citations

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

Fields of papers citing papers by Zhixiang Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixiang Liao

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 15
3 4
4 37
5 6
6 34
7 1
8 3
9 76
10 218
11 372
12 136
13 64

About Zhixiang Liao

Zhixiang Liao is a scholar working on Biological Psychiatry, Neurology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 968 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Nuclear Receptors and Signaling (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Neurology (405 citations), Cellular and Molecular Neuroscience (246 citations) and Neurology (96 citations). Zhixiang Liao has collaborated with scholars based in United States, China and Yemen. Frequent co-authors include Clemens R. Scherzer, Michael C. Naski, Martina I. Reinhold, Aron C. Eklund, Michael G. Schlossmacher, John H. Growdon, Michael A. Schwarzschild, Michael A. Hauser, Bin Zheng and Jeffery M. Vance. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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