Lina Yu

427 citations
21 papers · 277 indexed · h-index 9
Topics
Peptidase Inhibition and Analysis (3 papers)Protease and Inhibitor Mechanisms (3 papers)Cancer-related gene regulation (3 papers)
Partner nations
ChinaMacaoGreece

In The Last Decade

Lina Yu

19 papers receiving 274 citations

Peers

Lina Yu
Comparison fields: 5 of 66
  • Molecular Biology 162
  • Cancer Research 104
  • Oncology 77
  • Cell Biology 38
  • Pulmonary and Respiratory Medicine 29
Replace Shenyi Lian with:
Shenyi Lian China
Hazel O’Sullivan Ireland
Julian R. de Ruiter Netherlands
Xu-Yu Yang United States
Sheetal Bhan United States
Shivee Gilja United States
Yohei Sogabe Japan
Suiqun Guo China
Eva Rodríguez-Aznar Spain
Daniel E. Foxler United Kingdom
Lina Yu relative to Shenyi Lian China Shenyi Lian's profile →
Citations per field
00.5×1.5×
Shenyi Lian · 1×
Citations per year

Countries citing papers authored by Lina Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lina Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Yu. A scholar is included among the top collaborators of Lina Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lina Yu. Lina Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 1
4 0
5 2
6 6
7 2
8 1
9 23
10 13
11
miR-186 inhibits cell proliferation of prostate cancer by targeting GOLPH3.
35
12 6
13 18
14 10
15 57
16 38
17
Speed up Development of Agricultural Informatization and Improve Construction of Agricultural Modernization
2
18 22
19
[Overexpression of Tiam1 gene and its relationship with invasive and metastatic ability of nasopharyngeal carcinoma].
2
20
[Relationship between Tiam-1 expression and the biological behaviors of nasopharyngeal carcinoma].
2

About Lina Yu

Lina Yu is a scholar working on Biochemistry, Cancer Research and Oncology, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (104 citations), Oncology (77 citations) and Molecular Biology (162 citations). Lina Yu has collaborated with scholars based in China, Macao and Greece. Frequent co-authors include Xing Hua, Xiaoxiao Huang, Xing Hua, Hong Shen, Fang Li, Yanqing Ding, Peipei Zhao, Qingling Zhang, Yu Xiao and Meiyun Li. Their work appears in journals such as PLoS ONE, Scientific Reports and New Phytologist.

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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