Chang Shi

658 citations
17 papers · 382 indexed · h-index 8
Topics
Metabolomics and Mass Spectrometry Studies (4 papers)Traditional Chinese Medicine Analysis (3 papers)Atherosclerosis and Cardiovascular Diseases (3 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Chang Shi

16 papers receiving 378 citations

Peers

Chang Shi
Comparison fields: 5 of 99
  • Molecular Biology 132
  • Materials Chemistry 122
  • Health, Toxicology and Mutagenesis 78
  • Biomedical Engineering 48
  • Nutrition and Dietetics 40
Replace Liao Ming-yang with:
Liao Ming-yang China
Nilesh Kanase United Kingdom
Shupei Zhou China
Alimire Abulikemu China
Samuel Selorm Fiati Kenston China
Vellaisamy Selvaraj United States
Shu Guo China
Ronghui Lei China
Je‐Oh Lim South Korea
Rehab M. Abdel‐Megeed Egypt
Chang Shi relative to Liao Ming-yang China Liao Ming-yang's profile →
Citations per field
00.5×1.5×2.3×
Liao Ming-yang · 1×
Citations per year

Countries citing papers authored by Chang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Shi. A scholar is included among the top collaborators of Chang Shi 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 Shi. Chang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 5
3 12
4 10
5 4
6 8
7 36
8 3
9 13
10 7
11 11
12 2
13 2
14 1
15 223
16 43
17
Changes of CD4~+CD25~+T cells in patients with Latent autoimmune diabetes in adults
2

About Chang Shi

Chang Shi is a scholar working on Complementary and alternative medicine, Pharmacology and Immunology, having authored 17 papers that have together received 382 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (78 citations), Developmental Neuroscience (12 citations) and Complementary and alternative medicine (22 citations). Chang Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liao Ming-yang, Chunqi Wu, Quanjun Wang, Baohua Yang, Ye Yuan, Qingxiu Wang, Ronghui Lei, Amin Cao, Xianzhong Yan and Yanwen Zhang. Their work appears in journals such as Analytical Biochemistry, Scientific Reports and Biochemical Pharmacology.

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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