Guangyan Wu

554 total citations
20 papers, 369 citations indexed

About

Guangyan Wu is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Guangyan Wu has authored 20 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Guangyan Wu's work include Insect Pest Control Strategies (4 papers), Gut microbiota and health (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Guangyan Wu is often cited by papers focused on Insect Pest Control Strategies (4 papers), Gut microbiota and health (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Guangyan Wu collaborates with scholars based in China, United States and Spain. Guangyan Wu's co-authors include Yuequan Shen, Xue Yang, Peng Chen, Xin Li, Yangfei Xing, Zhenzhen Nie, Jia Wang, Guoquan Wei, Wenli Tang and Wentao Gao and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Guangyan Wu

19 papers receiving 366 citations

Peers

Guangyan Wu
Comparison fields: 5 of 87
  • Molecular Biology 169
  • Cellular and Molecular Neuroscience 74
  • Sensory Systems 73
  • Physiology 70
  • Endocrine and Autonomic Systems 41
Replace Giorgia Pellavio with:
Giorgia Pellavio Italy
Simarna Kaur United States
Hyun–Tai Lee South Korea
Cuong Viet Pham Australia
Pooja N. Desai United States
Zixuan Pang China
Anne‐Sophie Borowiec France
András Tóth Hungary
Hiromi Kanto Japan
Nozomi Ogawa Japan
Giorgia Pellavio Italy View profile →
Citations per field, relative to Guangyan Wu
Guangyan Wu · 1×
Citations per year, relative to Guangyan Wu
Guangyan Wu · 1×

Countries citing papers authored by Guangyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guangyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyan Wu. A scholar is included among the top collaborators of Guangyan Wu 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 Guangyan Wu. Guangyan Wu 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 1
3 8
4 12
5 5
6 3
7 25
8 25
9 13
10 47
11 62
12 16
13 61
14 19
15 7
16 10
17 2
18 8
19 44
20
[The effects and mechanism of islet amyloid polypeptide on insulin secretion in INS-1 cells stimulated by glibenclamide].
1

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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