Xuekai Wang

534 total citations · 1 hit paper
17 papers, 388 citations indexed

About

Xuekai Wang is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Xuekai Wang has authored 17 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Xuekai Wang's work include Liver Disease Diagnosis and Treatment (6 papers), Berberine and alkaloids research (2 papers) and Liver physiology and pathology (2 papers). Xuekai Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Berberine and alkaloids research (2 papers) and Liver physiology and pathology (2 papers). Xuekai Wang collaborates with scholars based in China. Xuekai Wang's co-authors include Zong‐Gen Peng, Huaying Fan, Kai Ji, Qi Dong, Jianrui Li, Lei Lei, Biao Dong, Hu Li, Hongying Li and Mingyan Yang and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Ethnopharmacology and European Journal of Pharmacology.

In The Last Decade

Xuekai Wang

15 papers receiving 387 citations

Hit Papers

Bacteroides thetaiotaomicron ameliorates mouse hepatic st... 2024 2026 2025 2024 10 20 30 40 50

Peers

Xuekai Wang
Comparison fields: 5 of 76
  • Molecular Biology 170
  • Epidemiology 90
  • Pharmacology 62
  • Immunology 54
  • Complementary and alternative medicine 43
Replace Nagaraj M. Kulkarni with:
Nagaraj M. Kulkarni India
Xianan Sang China
Shu Dai China
Haojie Du China
Kwang-Youn Kim South Korea
Linan Zhao China
Ling Huang China
Hyeon‐Hui Ki South Korea
Xiangwei Xu China
Nagaraj M. Kulkarni India View profile →
Citations per field, relative to Xuekai Wang
Xuekai Wang · 1×
Citations per year, relative to Xuekai Wang
Xuekai Wang · 1×

Countries citing papers authored by Xuekai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuekai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuekai Wang

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 2
5 9
6
Bacteroides thetaiotaomicron ameliorates mouse hepatic steatosis through regulating gut microbial composition, gut-liver folate and unsaturated fatty acids metabolism breakdown →
56
7 18
8 3
9 16
10 23
11 32
12 18
13 91
14 26
15 68
16 21
17
Label-free Colorimetric Assay Based on Gold Nanoparticles in Detection of NOS1AP with Single Nucleotide Polymorphism
1

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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