Guo-Xiao Wang

1.3k citations
7 papers · 1.0k indexed · 1 hit paper · h-index 7
Topics
Adipose Tissue and Metabolism (7 papers)Lipid metabolism and biosynthesis (4 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)

In The Last Decade

Guo-Xiao Wang

7 papers receiving 998 citations

Hit Papers

The brown fat–enriched secreted factor Nrg4 preserves met...20142026201820222014100200300

Peers

Guo-Xiao Wang
Comparison fields: 5 of 65
  • Physiology 626
  • Epidemiology 405
  • Molecular Biology 363
  • Cancer Research 263
  • Cardiology and Cardiovascular Medicine 236
Replace Tatyana Chanturiya with:
Tatyana Chanturiya United States
Ivet Elias Spain
Meritxell Rosell Spain
Takuya Tomaru Japan
Diti Chatterjee Bhowmick United States
Niclas Franck Sweden
Kristian Wennmalm Sweden
Rogério Rabelo Brazil
Hai-Yan Huang China
Jee Hyung Sohn South Korea
Guo-Xiao Wang relative to Tatyana Chanturiya United States Tatyana Chanturiya's profile →
Citations per field
00.5×1.5×2.4×
Tatyana Chanturiya · 1×
Citations per year

Countries citing papers authored by Guo-Xiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Xiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Xiao Wang. 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 Guo-Xiao Wang. The network helps show where Guo-Xiao Wang may publish in the future.

Co-authorship network of co-authors of Guo-Xiao Wang

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 115
2 73
3 166
4
The brown fat–enriched secreted factor Nrg4 preserves metabolic homeostasis through attenuation of hepatic lipogenesisbreakdown →
386
5 200
6 32
7 34

About Guo-Xiao Wang

Guo-Xiao Wang is a scholar working on Aging, Biochemistry and Physiology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Lipid metabolism and biosynthesis (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Physiology (626 citations), Cancer Research (263 citations) and Rehabilitation (84 citations). Guo-Xiao Wang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jiandie D. Lin, Xu-Yun Zhao, Qi Yu, Siming Li, Siming Li, Zhimin Chen, Adewole L. Okunade, Dequan Zhou, Matthias Blüher and Xiong Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Molecular Cell.

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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