Guanghui Tang

1.8k total citations
47 papers, 1.4k citations indexed

About

Guanghui Tang is a scholar working on Molecular Biology, Organic Chemistry and Plant Science. According to data from OpenAlex, Guanghui Tang has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Organic Chemistry and 10 papers in Plant Science. Recurrent topics in Guanghui Tang's work include Click Chemistry and Applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Guanghui Tang is often cited by papers focused on Click Chemistry and Applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Guanghui Tang collaborates with scholars based in China, Singapore and United States. Guanghui Tang's co-authors include Guo‐Yuan Yang, Yaning Li, Yongting Wang, Yan Liu, Zhijun Zhang, Yaohui Tang, Jun Huang, Yongting Wang, Xiang Gu and Xiaohong Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Stroke and Chemical Communications.

In The Last Decade

Guanghui Tang

43 papers receiving 1.4k citations

Peers

Guanghui Tang
Comparison fields: 5 of 100
  • Molecular Biology 690
  • Neurology 441
  • Cellular and Molecular Neuroscience 187
  • Genetics 156
  • Developmental Neuroscience 153
Replace Tânia Cristina Leite de Sampaio e Spohr with:
Tânia Cristina Leite de Sampaio e Spohr Brazil
Delphine Bernard France
Satoshi Tsunoda Japan
Subhas C. Biswas India
Vera Junker Germany
Celina García Mexico
Alessandro Bitto United States
Zhifang Li China
Hayato Takeuchi Japan
Tânia Cristina Leite de Sampaio e Spohr Brazil View profile →
Citations per field, relative to Guanghui Tang
Guanghui Tang · 1×
Citations per year, relative to Guanghui Tang
Guanghui Tang · 1×

Countries citing papers authored by Guanghui Tang

Since Specialization
Citations

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

Fields of papers citing papers by Guanghui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanghui Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanghui Tang. A scholar is included among the top collaborators of Guanghui Tang 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 Guanghui Tang. Guanghui Tang 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 0
3 2
4 1
5 1
6 0
7 3
8 4
9 4
10 3
11 55
12 13
13 11
14 16
15 10
16 13
17 58
18 28
19 27
20 84

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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