Jun Meng

601 citations
29 papers · 490 · h-index 14

Impact in

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

Papers in

Jun Meng

23 papers receiving 485 citations

Peers

Jun Meng
Comparison fields: 5 of 85
  • Food Science 258
  • Nutrition and Dietetics 139
  • Biotechnology 44
  • Biochemistry 24
  • Microbiology 24
Replace Srinivas Rayaprolu with:
Srinivas Rayaprolu United States
Bababode Adesegun Kehinde India
Chiara Nitride Italy
Yueyue Meng China
Priyanka Singh Rao India
Émeline Roux France
Wanwen Liao China
Lichao Zhao China
Hyung‐Seok Yu South Korea
Xiankang Fan China
Jun Meng relative to Srinivas Rayaprolu United States Srinivas Rayaprolu's profile →
Citations per field
00.5×2.7×
Srinivas Rayaprolu · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201367
3 201444
4 201740
5 201435
6 201728
7 201526
8 201725
9 201522
10 201520
11 201416
12 202114
13 201813
14 202313
15 201412
16 202411
17 20216
18 20245
19 20235
20 20245

About Jun Meng

Jun Meng is a scholar working on Molecular Biology, Food Science, Physiology, Nutrition and Dietetics and Genetics, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (8 papers), Proteins in Food Systems (7 papers), Probiotics and Fermented Foods (6 papers), Biochemical effects in animals (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Cancer-related molecular mechanisms research (3 papers), Advanced Nanomaterials in Catalysis (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Food Science (258 citations), Nutrition and Dietetics (139 citations), Biotechnology (44 citations), Biochemistry (24 citations) and Microbiology (24 citations). Jun Meng has collaborated with scholars based in China, Italy and Egypt. Frequent co-authors include Rongrong Lu, Qiuxiang Zhang, Zhen Sun, Jingyan Li, Binbin Zhao, Tingting Kang, Hong Xu, Li Zhang, Ping Qian and Huixin Yu. Their work appears in journals such as International Journal of Biological Macromolecules, Biology, LWT, Journal of Food Composition and Analysis and Frontiers in Veterinary Science.

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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