Xuena Wang

1.1k total citations
47 papers, 580 citations indexed

About

Xuena Wang is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Xuena Wang has authored 47 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 13 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Physiology. Recurrent topics in Xuena Wang's work include Nutritional Studies and Diet (13 papers), Nutrition and Health in Aging (10 papers) and Liver Disease Diagnosis and Treatment (9 papers). Xuena Wang is often cited by papers focused on Nutritional Studies and Diet (13 papers), Nutrition and Health in Aging (10 papers) and Liver Disease Diagnosis and Treatment (9 papers). Xuena Wang collaborates with scholars based in China, United States and Sweden. Xuena Wang's co-authors include Yeqing Gu, Ge Meng, Kaijun Niu, Shunming Zhang, Tingjing Zhang, Shaomei Sun, Kun Song, Li Liu, Ming Zhou and Hongmei Wu and has published in prestigious journals such as Nature Neuroscience, American Journal of Clinical Nutrition and The American Journal of Medicine.

In The Last Decade

Xuena Wang

44 papers receiving 570 citations

Peers

Xuena Wang
Comparison fields: 5 of 110
  • Epidemiology 158
  • Public Health, Environmental and Occupational Health 139
  • Endocrinology, Diabetes and Metabolism 133
  • Physiology 129
  • Social Psychology 71
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Lana Dixon United Kingdom
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Ruth E. Krasnow United States
Barry D. Dickinson United States
Bernard V. Miller United States
Hae‐Jin Ko South Korea
Agnieszka Pazderska Ireland
Kurt Gedrich Germany
Ling Bai China
Jun Dai United States
Lana Dixon United Kingdom View profile →
Citations per field, relative to Xuena Wang
Xuena Wang · 1×
Citations per year, relative to Xuena Wang
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Countries citing papers authored by Xuena Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuena Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuena Wang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 45
4 2
5 20
6 11
7 7
8 18
9 1
10 3
11 7
12 8
13 13
14 2
15 5
16 9
17 1
18 33
19 7
20 6

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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