Yan Cui

1.5k citations
114 papers · 1.2k · h-index 19

Impact in

    • Sperm and Testicular Function
    • Ovarian function and disorders
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Muscle Physiology and Disorders 7
    • Genetic and phenotypic traits in livestock 8
    • High Altitude and Hypoxia 7

Yan Cui

106 papers receiving 1.2k citations

Peers

Yan Cui
Comparison fields: 5 of 109
  • Reproductive Medicine 144
  • Cancer Research 136
  • Urology 51
  • Public Health, Environmental and Occupational Health 186
  • Agronomy and Crop Science 70
Replace Paul W. Dyce with:
Paul W. Dyce United States
Sha Peng China
Anthony N. Corps United Kingdom
Catherine A. Picut United States
Yan Gao China
Hiroaki Kawaguchi Japan
Çiler Çelik-Özenci Türkiye
Lai Ling Tsang Hong Kong
Koji Y. Arai Japan
Yucel Akgul United States
Yan Cui relative to Paul W. Dyce United States Paul W. Dyce's profile →
Citations per field
00.5×2.7×
Paul W. Dyce · 1×
Citations per year

Countries citing papers authored by Yan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 201450
3 200341
4 202038
5 202134
6 202032
7 201629
8 201528
9 202225
10 202423
11 201723
12 201022
13 201422
14 201522
15 199921
16 202020
17 201819
18 201719
19 199919
20 202318

About Yan Cui

Yan Cui is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (18 papers), Reproductive Physiology in Livestock (11 papers), Ovarian function and disorders (9 papers), Genetic and phenotypic traits in livestock (8 papers), Immune Response and Inflammation (8 papers), High Altitude and Hypoxia (7 papers) and Muscle Physiology and Disorders (7 papers). The work is most often cited by research in Reproductive Medicine (144 citations), Cancer Research (136 citations), Urology (51 citations), Public Health, Environmental and Occupational Health (186 citations) and Agronomy and Crop Science (70 citations). Yan Cui has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Sijiu Yu, Junfeng He, Yangyang Pan, Honghong He, Penggang Liu, Johnny Huard, David Mercer, Kenneth S. Helmer, Lily Chang and William S. Hambright. Their work appears in journals such as Theriogenology, The Anatomical Record, Reproduction in Domestic Animals, PLoS ONE and Frontiers in Veterinary Science.

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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