Chang Li

4.9k total citations · 1 hit paper
153 papers, 4.0k citations indexed

About

Chang Li is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Chang Li has authored 153 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 28 papers in Complementary and alternative medicine and 26 papers in Pharmacology. Recurrent topics in Chang Li's work include Traditional Chinese Medicine Analysis (25 papers), Sirtuins and Resveratrol in Medicine (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Chang Li is often cited by papers focused on Traditional Chinese Medicine Analysis (25 papers), Sirtuins and Resveratrol in Medicine (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Chang Li collaborates with scholars based in China, United States and Japan. Chang Li's co-authors include Shaoping Nie, Mingyong Xie, Yuanxing Wang, Yi Chen, Jiehong Yang, Yuanjiang Pan, Yu He, Mingyue Shen, Xiaofei Xu and Jianhua Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Chang Li

146 papers receiving 4.0k citations

Hit Papers

Purification, composition analysis and antioxidant activi... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Chang Li
Comparison fields: 5 of 149
  • Molecular Biology 1.4k
  • Plant Science 1.1k
  • Food Science 659
  • Pharmacology 651
  • Organic Chemistry 433
Zeliha Selamoğlu Türkiye
Kasi Pandima Devi India
Masashi Mizuno Japan
Soodabeh Saeidnia Iran
Syahida Ahmad Malaysia
Bonglee Kim South Korea
Jing Xu China
Yan Chen China
Aishwarya Patil India
Zeliha Selamoğlu Türkiye View profile →
Citations per field, relative to Chang Li
Chang Li · 1×
Citations per year, relative to Chang Li
Chang Li · 1×

Countries citing papers authored by Chang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Li. A scholar is included among the top collaborators of Chang Li 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 Chang Li. Chang Li 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 1
3 0
4 0
5 1
6 32
7 3
8 24
9 3
10 4
11 3
12 20
13 15
14 2
15 17
16 50
17 29
18 2
19 13
20 21

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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