Lingyu Wei

1.3k citations
31 papers · 955 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 3
    • Immune cells in cancer 5
    • interferon and immune responses 3
    • Immune Response and Inflammation 3

Lingyu Wei

30 papers receiving 942 citations

Peers

Lingyu Wei
Comparison fields: 5 of 101
  • Cancer Research 257
  • Biomaterials 134
  • Oncology 268
  • Molecular Medicine 47
  • Immunology 192
Replace Funan Liu with:
Funan Liu China
Fenglei Wu China
Timo Schomann Netherlands
Hui Gao China
Christopher G. Bunick United States
Mohammad Doroudian Iran
Zhao Yang China
Donna M. Small United Kingdom
Guang‐Hong Tan China
Dhruvitkumar S. Sutaria United States
Lingyu Wei relative to Funan Liu China Funan Liu's profile →
Citations per field
00.5×1.5×2.1×
Funan Liu · 1×
Citations per year

Countries citing papers authored by Lingyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201799
3 201884
4 201773
5 202269
6 202156
7 202056
8 202354
9 201654
10 201842
11 201942
12 202034
13 202134
14 201922
15 202118
16 202016
17 202116
18 202014
19 202412
20 202011

About Lingyu Wei

Lingyu Wei is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 31 papers that have together received 955 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Viral-associated cancers and disorders (5 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Infant Nutrition and Health (3 papers), interferon and immune responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Cancer Research (257 citations), Biomaterials (134 citations), Oncology (268 citations), Molecular Medicine (47 citations) and Immunology (192 citations). Lingyu Wei has collaborated with scholars based in China, Saudi Arabia and Ethiopia. Frequent co-authors include Jian Ma, Jianxun Ding, Jinjin Chen, Peng Qiu, Xiang Zheng, Qun Yan, Guiyuan Li, Zailong Qin, Zhengshuo Li and Xuesi Chen. Their work appears in journals such as Cell Death and Disease, Journal of Virology, Acta Biomaterialia, Journal of Biological Chemistry and BioMetals.

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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