Lingyu Wei

1.3k citations
31 papers · 1.0k · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Viral-associated cancers and disorders

Papers in

    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 3
    • S100 Proteins and Annexins 2
    • Immune cells in cancer 5

Lingyu Wei

30 papers receiving 1.0k citations

Peers

Lingyu Wei
Comparison fields: 5 of 101
  • Cancer Research 231
  • Oncology 254
  • Biomaterials 136
  • Molecular Medicine 45
  • Immunology 172
Replace Funan Liu with:
Funan Liu China
Xin Pang China
Timo Schomann Netherlands
Monica Loi Italy
Christopher G. Bunick United States
Shibing Wang China
Shiyan Dong China
Zhao Yang China
Mohammad Doroudian Iran
Fenglei Wu China
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 2017111
2 2017103
3 201886
4 201777
5 202274
6 202066
7 202361
8 202157
9 201655
10 201947
11 201842
12 202035
13 202134
14 201923
15 202118
16 202118
17 202018
18 202015
19 202414
20 202011

About Lingyu Wei

Lingyu Wei is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.0k 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), Infant Nutrition and Health (3 papers), Epigenetics and DNA Methylation (3 papers), Neonatal Respiratory Health Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Cancer Research (231 citations), Oncology (254 citations), Biomaterials (136 citations), Molecular Medicine (45 citations) and Immunology (172 citations). Lingyu Wei has collaborated with scholars based in China, Saudi Arabia and Ethiopia. Frequent co-authors include Jian Ma, Jinjin Chen, Jianxun Ding, Peng Qiu, Xiang Zheng, Qun Yan, Guiyuan Li, Zailong Qin, Zhengshuo Li and Yuanjun Lu. Their work appears in journals such as Journal of Virology, Acta Biomaterialia, Journal of Biological Chemistry, Cell Death and Disease and Frontiers in Pharmacology.

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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