Guizhu Liu

827 citations
22 papers · 428 indexed · h-index 12
Topics
Inflammatory mediators and NSAID effects (4 papers)Pulmonary Hypertension Research and Treatments (3 papers)NF-κB Signaling Pathways (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Guizhu Liu

18 papers receiving 421 citations

Peers

Guizhu Liu
Comparison fields: 5 of 82
  • Molecular Biology 161
  • Immunology 93
  • Cancer Research 76
  • Pharmacology 74
  • Biochemistry 70
Replace Daniel Ferguson with:
Daniel Ferguson United States
Laia Vilà Spain
Wei-Gen Li United States
Justyna Totoń‐Żurańska Poland
Chenxi Xiao China
Christine Koulis Australia
Sandra Slusher United States
Jen‐Fang Cheng Taiwan
Zahide Çavdar Türkiye
Guizhu Liu relative to Daniel Ferguson United States Daniel Ferguson's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Guizhu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guizhu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guizhu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guizhu Liu. A scholar is included among the top collaborators of Guizhu Liu 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 Guizhu Liu. Guizhu Liu 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 0
3 6
4 6
5 3
6 8
7 11
8 30
9 28
10 7
11 50
12 30
13 42
14 18
15 27
16 39
17 23
18
Effects of Acephate on Oxidative Damage and Ovarian Function in Female Rats
1
19
Effect of Acephate on the Capability of Anti-oxidizing in Testis of Male Rats
1
20
Effect of Dibutyl Phthalate on the Microkemel and Sperm Cell Abnormalities in Mice
1

About Guizhu Liu

Guizhu Liu is a scholar working on Sensory Systems, Cancer Research and Pharmacology, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Pulmonary Hypertension Research and Treatments (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Biochemistry (70 citations), Cancer Research (76 citations) and Immunology (93 citations). Guizhu Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ying Yu, Yujun Shen, Shengkai Zuo, Michael Lazarus, Deping Kong, Yu Yu, Qian Liu, Richard Breyer, Tao Bo and Yanjun Gong. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

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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