Shaohui Ye

455 total citations
12 papers, 273 citations indexed

About

Shaohui Ye is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Shaohui Ye has authored 12 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Shaohui Ye's work include Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Shaohui Ye is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Shaohui Ye collaborates with scholars based in China, United States and Bangladesh. Shaohui Ye's co-authors include Xiaoxiang Hu, Kuan‐Wei Chen, Changrong Ge, Huifang Li, Yanqiang Wang, Yang Da, Xiaorong Gu, Chungang Feng, Ning Li and Chi Song and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics Research.

In The Last Decade

Shaohui Ye

11 papers receiving 271 citations

Peers

Shaohui Ye
Comparison fields: 5 of 46
  • Genetics 211
  • Animal Science and Zoology 100
  • Cancer Research 66
  • Molecular Biology 57
  • Agronomy and Crop Science 30
Yuyun Xing China
Pingxian Wu China
Jiafei Shen China
Jiangbo Cheng China
Meilin Jin China
Haigang Bao China
Weihang Xiao China
J. S. Yeo South Korea
Andressa Oliveira de Lima Brazil
Chune Niu China
Yuyun Xing China View profile →
Citations per field, relative to Shaohui Ye
Shaohui Ye · 1×
Citations per year, relative to Shaohui Ye
Shaohui Ye · 1×

Countries citing papers authored by Shaohui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Ye

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 11
3 3
4 8
5 1
6 83
7 12
8 6
9 142
10 2
11
Study on mtDNA genetic diversity and phylogeny evolution of 5 indigenous sheep populations in southwest China
2
12
Investigation of caseous lymphadenitis in goats and identification of the pathogens.
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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