Lina Yang

650 citations
41 papers · 468 indexed · h-index 11
Topics
Ophthalmology and Visual Impairment Studies (4 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers)Corneal surgery and disorders (3 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Lina Yang

36 papers receiving 463 citations

Peers

Lina Yang
Comparison fields: 5 of 103
  • Molecular Biology 173
  • Epidemiology 80
  • Pulmonary and Respiratory Medicine 68
  • Radiology, Nuclear Medicine and Imaging 65
  • Public Health, Environmental and Occupational Health 46
Replace Shu‐Ting Li with:
Shu‐Ting Li China
Wulan Li China
Yi Ming Shao China
Hua Qin China
Christina Lamers Germany
Jon Ruckle United States
Raffaella Franca Italy
P. E. Noker United States
Vikram Kansra United States
D.R. Raphael United States
Lina Yang relative to Shu‐Ting Li China Shu‐Ting Li's profile →
Citations per field
00.5×10×15.3×
Shu‐Ting Li · 1×
Citations per year

Countries citing papers authored by Lina Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lina Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Yang. A scholar is included among the top collaborators of Lina Yang 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 Yang. Lina Yang 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 3
3 0
4 4
5 2
6 1
7 0
8 0
9 70
10 7
11 17
12 5
13 9
14 7
15 1
16 3
17 37
18 16
19
Relationship between apolipoprotein E gene polymorphism and type 2 diabetes mellitus with arteriosclerotic cerebral infarction
2
20 25

About Lina Yang

Lina Yang is a scholar working on Pharmacology, Transplantation and Biophysics, having authored 41 papers that have together received 468 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Corneal surgery and disorders (3 papers). The work is most often cited by research in Pharmaceutical Science (29 citations), Pharmacology (36 citations) and Nephrology (23 citations). Lina Yang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Liang Ma, Meng Xin, Xianggen Wu, Fan Guo, Yan Liang, Letian Yang, Hao Chen, Ping Fu, Zhijun Wei and Hai Huang. Their work appears in journals such as Journal of the American Chemical Society, Analytical Biochemistry and The FASEB Journal.

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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