Jun Sheng

1.6k citations
40 papers · 1.3k · h-index 20

Impact in

Papers in

    • Enzyme Production and Characterization 17
    • Enzyme Catalysis and Immobilization 6
    • Protein Hydrolysis and Bioactive Peptides 6
    • Microbial Metabolic Engineering and Bioproduction 4

Jun Sheng

39 papers receiving 1.2k citations

Peers

Jun Sheng
Comparison fields: 5 of 100
  • Biotechnology 452
  • Nutrition and Dietetics 368
  • Biomaterials 135
  • Molecular Biology 535
  • Biomedical Engineering 317
Replace Hideshi Yanase with:
Hideshi Yanase Japan
Jan Muschiol Denmark
Wen‐Chien Lee Taiwan
Ningfeng Wu China
Arastoo Badoei-Dalfard Iran
Jyoji Kato Japan
Xiaowen Wang China
Jianping Lin China
I. Yu. Bakunina Russia
Jun Sheng relative to Hideshi Yanase Japan Hideshi Yanase's profile →
Citations per field
00.5×2.6×
Hideshi Yanase · 1×
Citations per year

Countries citing papers authored by Jun Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014218
2 2014160
3 2011109
4 200688
5 200766
6 200760
7 200851
8 200748
9 202344
10 201841
11 200639
12 200838
13 200736
14 200832
15 200830
16 201328
17 201624
18 201924
19 201523
20 202019

About Jun Sheng

Jun Sheng is a scholar working on Biotechnology, Molecular Biology, Nutrition and Dietetics, Biomedical Engineering and Plant Science, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (17 papers), Microbial Metabolites in Food Biotechnology (10 papers), Enzyme Catalysis and Immobilization (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Biofuel production and bioconversion (6 papers), Phytase and its Applications (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Anaerobic Digestion and Biogas Production (2 papers). The work is most often cited by research in Biotechnology (452 citations), Nutrition and Dietetics (368 citations), Biomaterials (135 citations), Molecular Biology (535 citations) and Biomedical Engineering (317 citations). Jun Sheng has collaborated with scholars based in China and Poland. Frequent co-authors include Zhen‐Ming Chi, Fang Gong, Mi Sun, Jiakun Xu, Jingjing Sun, Fang Wang, Zheng Yuan, Yuejun Wang, Mi Sun and Jing Li. Their work appears in journals such as Journal of Industrial Microbiology & Biotechnology, Molecules, Polar Biology, Food Chemistry and Process Biochemistry.

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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