Pengjun Shi

4.7k citations
130 papers · 3.7k · h-index 39

Impact in

Papers in

Pengjun Shi

130 papers receiving 3.7k citations

Peers

Pengjun Shi
Comparison fields: 5 of 105
  • Biotechnology 2.2k
  • Biomedical Engineering 2.1k
  • Nutrition and Dietetics 588
  • Plant Science 1.1k
  • Molecular Biology 1.9k
Replace Yingguo Bai with:
Yingguo Bai China
Huoqing Huang China
Huiying Luo China
Peilong Yang China
João Atı́lio Jorge Brazil
Michael O’Donohue France
Xiaoyun Su China
Ŝtefan Janeĉek Slovakia
Vladimı́r Farkaš Slovakia
Héctor F. Terenzi Brazil
Pengjun Shi relative to Yingguo Bai China Yingguo Bai's profile →
Citations per field
00.5×1.5×
Yingguo Bai · 1×
Citations per year

Countries citing papers authored by Pengjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pengjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pengjun 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 Pengjun Shi Line = papers co-authored together Pengjun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201499
2 200897
3 201388
4 200981
5 202365
6 201065
7 200865
8 201362
9 200960
10 201060
11 201660
12 200858
13 201157
14 201257
15 201056
16 201455
17 199555
18 201053
19 201551
20 201350

About Pengjun Shi

Pengjun Shi is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Plant Science and Nutrition and Dietetics, having authored 130 papers that have together received 3.7k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (90 papers), Biofuel production and bioconversion (76 papers), Enzyme Catalysis and Immobilization (24 papers), Studies on Chitinases and Chitosanases (24 papers), Polysaccharides and Plant Cell Walls (22 papers), Microbial Metabolites in Food Biotechnology (22 papers), Phytase and its Applications (20 papers) and Protein Hydrolysis and Bioactive Peptides (11 papers). The work is most often cited by research in Biotechnology (2.2k citations), Biomedical Engineering (2.1k citations), Nutrition and Dietetics (588 citations), Plant Science (1.1k citations) and Molecular Biology (1.9k citations). Pengjun Shi has collaborated with scholars based in China, Finland and Norway. Frequent co-authors include Bin Yao, Huoqing Huang, Peilong Yang, Yingguo Bai, Huiying Luo, Kun Meng, Huiying Luo, Rui Ma, Yunliu Fan and Tiezheng Yuan. Their work appears in journals such as Applied Microbiology and Biotechnology, Applied Biochemistry and Biotechnology, PLoS ONE, Applied and Environmental Microbiology and Food Chemistry.

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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