Liang Xia

770 total citations
31 papers, 621 citations indexed

About

Liang Xia is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Liang Xia has authored 31 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Liang Xia's work include Angiogenesis and VEGF in Cancer (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Congenital heart defects research (3 papers). Liang Xia is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Congenital heart defects research (3 papers). Liang Xia collaborates with scholars based in China, Italy and South Korea. Liang Xia's co-authors include Guosheng Fu, Chunlai Zeng, Xiu Hu, Yun Shang, Xing Guo, Mingjuan Jin, Xinyuan Ma, Kun Chen, Kai-yan Yao and Dekang Nie and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Brain Research.

In The Last Decade

Liang Xia

29 papers receiving 613 citations

Peers

Liang Xia
Comparison fields: 5 of 102
  • Molecular Biology 329
  • Cancer Research 134
  • Physiology 100
  • Oncology 81
  • Pulmonary and Respiratory Medicine 74
Replace Elena De Santis with:
Elena De Santis Italy
Supak Jenkitkasemwong United States
Xiangchen Gu China
Stefan Rudloff Germany
Petra I. Lorenzo Spain
Chao Jie Zhen China
Yuan-Tao Liu China
Dongmei Wu China
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Jeffrey M. Catania United States
Elena De Santis Italy View profile →
Citations per field, relative to Liang Xia
Liang Xia · 1×
Citations per year, relative to Liang Xia
Liang Xia · 1×

Countries citing papers authored by Liang Xia

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xia. A scholar is included among the top collaborators of Liang Xia 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 Liang Xia. Liang Xia 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
# Work Indexed citations
1 0
2 15
3 12
4 21
5 4
6 6
7 6
8 7
9 5
10 16
11 58
12 15
13
Researching the Translation of Chinese Political Discourse
2
14 22
15 15
16 37
17 40
18 118
19 34
20
CaN19 expression in benign and malignant hyperplasias of the skin and oral mucosa: evidence for a role in regenerative differentiation.
33

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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