Yaokun Li

1.2k citations
72 papers · 837 indexed · h-index 17

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 13
    • Reproductive Physiology in Livestock 12
    • Cancer-related molecular mechanisms research 24
    • MicroRNA in disease regulation 11

Yaokun Li

71 papers receiving 834 citations

Peers

Yaokun Li
Comparison fields: 5 of 101
  • Agronomy and Crop Science 200
  • Animal Science and Zoology 157
  • Cancer Research 226
  • Genetics 259
  • Molecular Biology 334
Replace Jennifer J. Michal with:
Jennifer J. Michal United States
Xianbo Jia China
Ming Deng China
Zhangping Yang China
Dewu Liu China
Mariasilvia D’Andrea Italy
Christa Kuehn Germany
Gengyuan Cai China
Manman Shen China
Aixin Liang China
Yaokun Li relative to Jennifer J. Michal United States Jennifer J. Michal's profile →
Citations per field
00.5×2.8×
Jennifer J. Michal · 1×
Citations per year

Countries citing papers authored by Yaokun Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaokun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yaokun Li, 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 Yaokun Li Line = papers co-authored together Yaokun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20244
3 20243
4 20241
5 20243
6 20241
7 20243
8 20237
9 20239
10 20235
11 20236
12 20232
13 20232
14 20235
15 20223
16 20201
17 201840
18 20179
19 201517
20 201421

About Yaokun Li

Yaokun Li is a scholar working on Agronomy and Crop Science, Cancer Research, Genetics, Animal Science and Zoology and Molecular Biology, having authored 72 papers that have together received 837 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (24 papers), Genetic and phenotypic traits in livestock (23 papers), Ruminant Nutrition and Digestive Physiology (13 papers), Reproductive Physiology in Livestock (12 papers), MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (10 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Reproductive System and Pregnancy (6 papers). The work is most often cited by research in Agronomy and Crop Science (200 citations), Animal Science and Zoology (157 citations), Cancer Research (226 citations), Genetics (259 citations) and Molecular Biology (334 citations). Yaokun Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dewu Liu, Guangbin Liu, Baoli Sun, Yongqing Guo, Ming Deng, Jiuzhou Song, José A. Carrillo, Yanghua He, Linsen Zan and Xian Zou. Their work appears in journals such as International Journal of Molecular Sciences, Animals, Frontiers in Genetics, Frontiers in Veterinary Science and Genes.

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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