Kun Shi

566 citations
11 papers · 389 · h-index 7

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 5
    • Microbial Metabolic Engineering and Bioproduction 5
    • Chemical Synthesis and Analysis 2
    • Click Chemistry and Applications 1

Kun Shi

10 papers receiving 385 citations

Peers

Kun Shi
Comparison fields: 5 of 65
  • Renewable Energy, Sustainability and the Environment 112
  • Molecular Biology 214
  • Biotechnology 27
  • Plant Science 98
  • Environmental Chemistry 25
Replace Zia Fatma with:
Zia Fatma United States
Gamal S. El Baroty Egypt
Felicitas Vernen Australia
Chitra Natarajan India
Liliana Gigova Bulgaria
Kiira S. Vuoristo Norway
Apiradee Hongsthong Thailand
Elena T. Iakimova Netherlands
Wolfram Lorenzen Germany
Antera Martel Quintana Spain
Kun Shi relative to Zia Fatma United States Zia Fatma's profile →
Citations per field
00.5×2.6×
Zia Fatma · 1×
Citations per year

Countries citing papers authored by Kun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Kun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Shi Line = papers co-authored together Kun Shi links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017172
2 2017106
3 201669
4 201814
5 202411
6 20238
7 20236
8
Study on Calcination of Quality Cement Clinker by High Addition Phosphorous Slag
20101
9 20241
10 20231
11 20250

About Kun Shi

Kun Shi is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Pharmacology and Civil and Structural Engineering, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), biodegradable polymer synthesis and properties (2 papers), Chemical Synthesis and Analysis (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Click Chemistry and Applications (1 paper), Catalysis for Biomass Conversion (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (112 citations), Molecular Biology (214 citations), Biotechnology (27 citations), Plant Science (98 citations) and Environmental Chemistry (25 citations). Kun Shi has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Tian‐Qiong Shi, Xiao‐Jun Ji, He Huang, Lujing Ren, Zhen Gao, Ping Song, Ping Song, Guannan Liu, Siyu Zeng and Hui Peng. Their work appears in journals such as ChemSusChem, Biotechnology and Bioengineering, Applied Microbiology and Biotechnology, ACS Catalysis and Frontiers in Microbiology.

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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