Lin Yu

1.6k citations
33 papers · 1.2k · h-index 17

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

    • RNA modifications and cancer 11
    • Cancer-related gene regulation 6
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 6

Lin Yu

33 papers receiving 1.2k citations

Peers

Lin Yu
Comparison fields: 5 of 73
  • Cancer Research 393
  • Molecular Biology 875
  • Reproductive Medicine 32
  • Obstetrics and Gynecology 26
  • Epidemiology 99
Replace Samira Asghari with:
Samira Asghari Iran
Qing Wen China
Keqing Qian China
Laura Tronci Italy
Saleh Alkarim Saudi Arabia
Xiangzhou Zeng China
Deusdedit Tusubira Uganda
Arul M. Mani United States
Vivian Nogueira Silbiger Brazil
Lin Yu relative to Samira Asghari Iran Samira Asghari's profile →
Citations per field
00.5×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020214
2 2020188
3 2018123
4 202091
5 202061
6 202046
7 201945
8 202143
9 201242
10 201742
11 201735
12 202130
13 202029
14 200926
15 202123
16 202120
17 202117
18 202114
19 202514
20 202313

About Lin Yu

Lin Yu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Cell Biology and Obstetrics and Gynecology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer-related gene regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Lipid metabolism and biosynthesis (2 papers), Pregnancy and preeclampsia studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (393 citations), Molecular Biology (875 citations), Reproductive Medicine (32 citations), Obstetrics and Gynecology (26 citations) and Epidemiology (99 citations). Lin Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Zhou, Yi Chen, Jing He, Wen Gao, Yongqian Shu, Yixing Li, Zhiwang Zhang, Huifang Kang, Guoyou Xie and Zhuojia Chen. Their work appears in journals such as Oncotarget, Frontiers in Nutrition, Journal of Cellular and Molecular Medicine, The Journal of Nutritional Biochemistry and Molecular Cancer.

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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