Zhishu Tang

3.4k total citations
202 papers, 2.7k citations indexed

About

Zhishu Tang is a scholar working on Molecular Biology, Complementary and alternative medicine and Plant Science. According to data from OpenAlex, Zhishu Tang has authored 202 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 41 papers in Complementary and alternative medicine and 35 papers in Plant Science. Recurrent topics in Zhishu Tang's work include Natural product bioactivities and synthesis (45 papers), Traditional Chinese Medicine Analysis (25 papers) and Ginseng Biological Effects and Applications (20 papers). Zhishu Tang is often cited by papers focused on Natural product bioactivities and synthesis (45 papers), Traditional Chinese Medicine Analysis (25 papers) and Ginseng Biological Effects and Applications (20 papers). Zhishu Tang collaborates with scholars based in China, United States and South Korea. Zhishu Tang's co-authors include Huanxian Shi, Zhongxing Song, Jun Fan, Yanyan Zhao, Jin‐Ao Duan, Yanru Liu, Hongbo Xu, Xiao Hu, Simin Wei and Zhenggang Yue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Analytical Biochemistry.

In The Last Decade

Zhishu Tang

190 papers receiving 2.6k citations

Peers

Zhishu Tang
Comparison fields: 5 of 130
  • Molecular Biology 950
  • Materials Chemistry 531
  • Renewable Energy, Sustainability and the Environment 482
  • Electrical and Electronic Engineering 378
  • Plant Science 364
Replace Fei Li with:
Fei Li China
Honglun Wang China
Yun Wei China
Jinchao Wei China
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Gholamreza Dehghan Iran
Dandan Tang China
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Fei Li China View profile →
Citations per field, relative to Zhishu Tang
Zhishu Tang · 1×
Citations per year, relative to Zhishu Tang
Zhishu Tang · 1×

Countries citing papers authored by Zhishu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhishu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhishu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhishu Tang. A scholar is included among the top collaborators of Zhishu 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 Zhishu Tang. Zhishu 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 1
2 2
3 5
4 4
5 9
6 0
7 9
8 0
9 24
10 5
11 3
12 6
13 1
14 1
15 11
16 2
17 4
18
Berberine-Loaded Thiolated Pluronic F127 Polymeric Micelles for Improving Skin Permeation and Retention
2
19 3
20 18

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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