Jun Meng

705 citations
46 papers · 573 · h-index 14

Impact in

    • Probiotics and Fermented Foods
    • Proteins in Food Systems
    • Microbial Metabolites in Food Biotechnology
    • Food composition and properties

Papers in

    • Proteins in Food Systems 7
    • Probiotics and Fermented Foods 6
    • Adipose Tissue and Metabolism 6

Jun Meng

38 papers receiving 564 citations

Peers

Jun Meng
Comparison fields: 5 of 87
  • Food Science 274
  • Nutrition and Dietetics 141
  • Biotechnology 49
  • Biochemistry 23
  • Molecular Biology 251
Replace Wanwen Liao with:
Wanwen Liao China
Srinivas J. Rayaprolu United States
Bababode Adesegun Kehinde India
Irene Comi Norway
Chiara Nitride Italy
Yueyue Meng China
Émeline Roux France
Neal A. Bringe United States
Justo Pedroche Spain
Qiwei Du China
Jun Meng relative to Wanwen Liao China Wanwen Liao's profile →
Citations per field
00.5×2×3×3.9×
Wanwen Liao · 1×
Citations per year

Countries citing papers authored by Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201369
3 201446
4 201743
5 201437
6 201731
7 201729
8 201528
9 201524
10 201423
11 201521
12 202316
13 202115
14 202414
15 201814
16 201412
17 202410
18 20217
19 20226
20 20245

About Jun Meng

Jun Meng is a scholar working on Food Science, Physiology, Rehabilitation, Equine and Cell Biology, having authored 46 papers that have together received 573 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (8 papers), Proteins in Food Systems (7 papers), Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (6 papers), Probiotics and Fermented Foods (6 papers), Exercise and Physiological Responses (5 papers), Veterinary Equine Medical Research (4 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Food Science (274 citations), Nutrition and Dietetics (141 citations), Biotechnology (49 citations), Biochemistry (23 citations) and Molecular Biology (251 citations). Jun Meng has collaborated with scholars based in China, Mongolia and United States. Frequent co-authors include Rongrong Lu, Shuming Gao, Qiuxiang Zhang, Zhen Sun, Jingyan Li, Tingting Kang, Binbin Zhao, Ping Qian, Hong Guang Xu and Huixin Yu. Their work appears in journals such as International Journal of Biological Macromolecules, Biology, Genes, Animals 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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