Jun Dai
Impact in
- Food Science top 2%
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Fermentation and Sensory Analysis
- Biotechnology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 39
- Microbial Metabolic Engineering and Bioproduction 18
- Fungal and yeast genetics research 10
- Plant biochemistry and biosynthesis 9
- Food Science 31
- Fermentation and Sensory Analysis 12
- Proteins in Food Systems 8
- Co-authors
- Chengxiang Fang (29 shared papers)Shangwei Chen (7 shared papers)Song Zhu (5 shared papers)Jian Tang (3 shared papers)Yan Wu (1 shared paper)Min Wang (1 shared paper)Fang Peng (14 shared papers)Hongping Yin (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (22 papers)Antonie van Leeuwenhoek (5 papers)Food Hydrocolloids (4 papers)Scientific Reports (3 papers)Marine Drugs (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Dai
130 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 133
- Food Science 522
- Biotechnology 206
- Ecology 560
- Molecular Biology 1.4k
- Plant Science 742
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 332 | |
| 2 | 2014 | 101 | |
| 3 | 2022 | 86 | |
| 4 | 2020 | 81 | |
| 5 | 2011 | 73 | |
| 6 | 2011 | 67 | |
| 7 | 2009 | 59 | |
| 8 | 2008 | 52 | |
| 9 | 2008 | 50 | |
| 10 | 2011 | 49 | |
| 11 | 2009 | 43 | |
| 12 | 2021 | 42 | |
| 13 | 2022 | 41 | |
| 14 | 2011 | 41 | |
| 15 | 2023 | 40 | |
| 16 | 2014 | 40 | |
| 17 | 2022 | 35 | |
| 18 | 2014 | 35 | |
| 19 | 2010 | 34 | |
| 20 | 2020 | 34 |
About Jun Dai
Jun Dai is a scholar working on Molecular Biology, Food Science, Plant Science, Ecology and Pharmacology, having authored 143 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (39 papers), Microbial Community Ecology and Physiology (24 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Biological and pharmacological studies of plants (13 papers), Fermentation and Sensory Analysis (12 papers), Fungal and yeast genetics research (10 papers), Plant biochemistry and biosynthesis (9 papers) and Proteins in Food Systems (8 papers). The work is most often cited by research in Food Science (522 citations), Biotechnology (206 citations), Ecology (560 citations), Molecular Biology (1.4k citations) and Plant Science (742 citations). Jun Dai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Chengxiang Fang, Shangwei Chen, Song Zhu, Jian Tang, Yan Wu, Min Wang, Fang Peng, Hongping Yin, Yali Tang and Fan Jiang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, Food Hydrocolloids, Scientific Reports and Marine Drugs.
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.