Lin Yu

1.6k citations
32 papers · 1.2k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

    • Cancer-related molecular mechanisms research 6
    • RNA modifications and cancer 11
    • Cancer-related gene regulation 6
    • Mitochondrial Function and Pathology 2

Lin Yu

32 papers receiving 1.2k citations

Peers

Lin Yu
Comparison fields: 5 of 73
  • Cancer Research 398
  • Molecular Biology 908
  • Reproductive Medicine 33
  • Obstetrics and Gynecology 26
  • Epidemiology 105
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Keqing Qian China
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Yanying Xu China
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Minh Nam Nguyen Vietnam
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Citations per field
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Samira Asghari · 1×
Citations per year

Countries citing papers authored by Lin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020217
2 2020200
3 2018125
4 202094
5 202062
6 202047
7 202146
8 201946
9 201242
10 201742
11 201738
12 202133
13 202029
14 200926
15 202124
16 202120
17 202118
18 202518
19 202417
20 202315

About Lin Yu

Lin Yu is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Epidemiology and Obstetrics and Gynecology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (6 papers), Cancer-related gene regulation (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (2 papers), Mitochondrial Function and Pathology (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Cancer Research (398 citations), Molecular Biology (908 citations), Reproductive Medicine (33 citations), Obstetrics and Gynecology (26 citations) and Epidemiology (105 citations). Lin Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lei Zhou, Yixing Li, Wen Gao, Jing He, Yi Chen, Yongqian Shu, Zhiwang Zhang, Huifang Kang, Guoyou Xie and Hong-Sheng Wang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Oncotarget, Frontiers in Nutrition, The Journal of Nutritional Biochemistry and Cancer Cell International.

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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