Xiaoyun Shen

764 total citations
37 papers, 603 citations indexed

About

Xiaoyun Shen is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Food Science. According to data from OpenAlex, Xiaoyun Shen has authored 37 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nutrition and Dietetics, 14 papers in Health, Toxicology and Mutagenesis and 7 papers in Food Science. Recurrent topics in Xiaoyun Shen's work include Selenium in Biological Systems (19 papers), Trace Elements in Health (8 papers) and Animal Diversity and Health Studies (6 papers). Xiaoyun Shen is often cited by papers focused on Selenium in Biological Systems (19 papers), Trace Elements in Health (8 papers) and Animal Diversity and Health Studies (6 papers). Xiaoyun Shen collaborates with scholars based in China, United States and India. Xiaoyun Shen's co-authors include Thérèse Hesketh, Bin Huo, Yongkuan Chi, Chunjie Song, Jiameng Li, Yachao Wang, Ting Wu, Fuyuan Liu, Ping Zhou and Jian He and has published in prestigious journals such as PLoS ONE, Molecules and International Journal of Environmental Research and Public Health.

In The Last Decade

Xiaoyun Shen

35 papers receiving 599 citations

Peers

Xiaoyun Shen
Comparison fields: 5 of 103
  • Nutrition and Dietetics 245
  • Health, Toxicology and Mutagenesis 180
  • Molecular Biology 80
  • Social Psychology 78
  • Plant Science 78
Replace Ram Dass with:
Ram Dass India
Marlène Pérignon France
Wenting Zhou China
T. Ribeiro Portugal
E. Weichselbaum United Kingdom
Rebecca Ramsing United States
Xiaojie Wang China
Heikki Pakkala Finland
Barbara Stadlmayr Austria
Joanne Atkinson Canada
Ram Dass India View profile →
Citations per field, relative to Xiaoyun Shen
Xiaoyun Shen · 1×
Citations per year, relative to Xiaoyun Shen
Xiaoyun Shen · 1×

Countries citing papers authored by Xiaoyun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Shen. A scholar is included among the top collaborators of Xiaoyun Shen 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 Xiaoyun Shen. Xiaoyun Shen 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 1
3 10
4 2
5 4
6 0
7 11
8 17
9 8
10 9
11 6
12 27
13 14
14 8
15 7
16 28
17 18
18 16
19 43
20 24

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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