Guiqing Liang

887 total citations
21 papers, 484 citations indexed

About

Guiqing Liang is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Guiqing Liang has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Guiqing Liang's work include Pharmacogenetics and Drug Metabolism (8 papers), Hormonal Regulation and Hypertension (5 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). Guiqing Liang is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Hormonal Regulation and Hypertension (5 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). Guiqing Liang collaborates with scholars based in United States, Switzerland and China. Guiqing Liang's co-authors include Lijun Sun, Keizo Koya, Dean F. Rigel, Arco Y. Jeng, Michael E. Beil, Fumin Fu, Zhiqiang Xia, David A. James, Hao Li and Weiwen Ying and has published in prestigious journals such as Science, Molecular and Cellular Biology and Analytical Chemistry.

In The Last Decade

Guiqing Liang

19 papers receiving 473 citations

Peers

Guiqing Liang
Comparison fields: 5 of 87
  • Molecular Biology 171
  • Endocrinology, Diabetes and Metabolism 122
  • Organic Chemistry 104
  • Pharmacology 58
  • Oncology 55
Replace Siddam Anjaiah with:
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Sung Eun Yoo South Korea
Eva Axén Sweden
Hirotoshi Kakuta Japan
Simon Wong United States
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Citations per field, relative to Guiqing Liang
Guiqing Liang · 1×
Citations per year, relative to Guiqing Liang
Guiqing Liang · 1×

Countries citing papers authored by Guiqing Liang

Since Specialization
Citations

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

Fields of papers citing papers by Guiqing Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiqing Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Guiqing Liang. A scholar is included among the top collaborators of Guiqing Liang 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 Guiqing Liang. Guiqing Liang 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 3
2 0
3 1
4 63
5 8
6 6
7 10
8 23
9 47
10 8
11 34
12 43
13 10
14 10
15 46
16 89
17 1
18
Effects of the guanine-quadruplex telomerase inhibitor BRACO-19 on tumour cells: Evidence of selective action on telomere maintenance
1
19 1
20 8

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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