Shenyuan Wang

694 total citations
21 papers, 218 citations indexed

About

Shenyuan Wang is a scholar working on Molecular Biology, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, Shenyuan Wang has authored 21 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Shenyuan Wang's work include Animal Genetics and Reproduction (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Shenyuan Wang is often cited by papers focused on Animal Genetics and Reproduction (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Shenyuan Wang collaborates with scholars based in China, Japan and France. Shenyuan Wang's co-authors include Hong Xia, Hong‐Bo Sun, Yue‐Feng Liu, Huanmin Zhou, Benfeng Bai, Chunxia Liu, Wei Wang, Cheng‐Lin Hou, Dong Zhang and Junwei Cao and has published in prestigious journals such as Nano Letters, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Shenyuan Wang

21 papers receiving 210 citations

Peers

Shenyuan Wang
Comparison fields: 5 of 64
  • Electrical and Electronic Engineering 80
  • Genetics 68
  • Materials Chemistry 56
  • Molecular Biology 55
  • Biomedical Engineering 41
Replace Wenbin Zhu with:
Wenbin Zhu United States
Zhengyi He China
Minyan Zhang China
Faith Coldren United States
Jinying Ma China
Kyuha Chung South Korea
Kazuya Hasegawa Japan
Bing Bing Wang China
M. Wilhelm Germany
John B. McManus United States
Wenbin Zhu United States View profile →
Citations per field, relative to Shenyuan Wang
Shenyuan Wang · 1×
Citations per year, relative to Shenyuan Wang
Shenyuan Wang · 1×

Countries citing papers authored by Shenyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shenyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenyuan Wang. A scholar is included among the top collaborators of Shenyuan 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 Shenyuan Wang. Shenyuan 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 1
2 2
3 2
4 2
5 32
6 2
7 2
8 56
9 21
10 2
11 1
12 2
13 3
14 9
15 6
16 14
17 12
18 1
19 34
20
Primary Culture of Bovine Mammary Epithelial Cells
2

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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