Shaohui Ye

455 citations
12 papers · 273 · h-index 6

Impact in

    • Animal Nutrition and Physiology
    • Livestock and Poultry Management
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic diversity and population structure

Papers in

    • Genetic and phenotypic traits in livestock 6
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Cancer-related molecular mechanisms research 5

Shaohui Ye

11 papers receiving 271 citations

Peers

Shaohui Ye
Comparison fields: 5 of 46
  • Animal Science and Zoology 100
  • Genetics 211
  • Cancer Research 66
  • Agronomy and Crop Science 30
  • Sensory Systems 7
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Shaohui Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaohui Ye Line = papers co-authored together Shaohui Ye links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011142
2 201783
3 201412
4 202411
5 20218
6 20146
7 20233
8
Study on mtDNA genetic diversity and phylogeny evolution of 5 indigenous sheep populations in southwest China
20072
9 20242
10 20092
11
Investigation of caseous lymphadenitis in goats and identification of the pathogens.
19961
12 20201

About Shaohui Ye

Shaohui Ye is a scholar working on Genetics, Cancer Research, Molecular Biology, Endocrine and Autonomic Systems and Urology, having authored 12 papers that have together received 273 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Connexins and lens biology (1 paper), Neuroscience of respiration and sleep (1 paper), Remote-Sensing Image Classification (1 paper), Remote Sensing and Land Use (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Animal Science and Zoology (100 citations), Genetics (211 citations), Cancer Research (66 citations), Agronomy and Crop Science (30 citations) and Sensory Systems (7 citations). Shaohui Ye has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Huifang Li, Chungang Feng, Xiaoxiang Hu, Chi Song, Yanqiang Wang, Changrong Ge, Xiaorong Gu, Kuan‐Wei Chen, Li Ma and Ning Li. Their work appears in journals such as Animals, Animal Genetics, Scientific Reports, Genetics Research and Remote Sensing Letters.

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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