Bei Wang
Impact in
- Biotechnology top 1%
- Microbial Inactivation Methods
- Food Science top 1%
- Proteins in Food Systems
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 7
- Advanced biosensing and bioanalysis techniques 4
- Food Science 19
- Proteins in Food Systems 5
- Food Drying and Modeling 4
- Co-authors
- Haile Ma (22 shared papers)Zhongli Pan (9 shared papers)Bengang Wu (9 shared papers)Zhen Hong (4 shared papers)Qihao Guo (4 shared papers)Cunshan Zhou (7 shared papers)Yanyan Zhang (6 shared papers)Qianhua Zhao (3 shared papers)
- Journals
- Journal of the Science of Food and Agriculture (5 papers)Ultrasonics Sonochemistry (4 papers)Food Control (3 papers)Food Biophysics (2 papers)LWT (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Bei Wang
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 151
- Biotechnology 382
- Food Science 769
- Molecular Medicine 183
- Biochemistry 196
- Animal Science and Zoology 292
Countries citing papers authored by Bei Wang
This map shows the geographic impact of Bei Wang'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 Bei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wang more than expected).
Fields of papers citing papers by Bei Wang
This network shows the impact of papers produced by Bei Wang. 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 Bei Wang. The network helps show where Bei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Wang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 175 | |
| 2 | 2013 | 174 | |
| 3 | 2016 | 133 | |
| 4 | 2015 | 108 | |
| 5 | 2016 | 102 | |
| 6 | 2020 | 102 | |
| 7 | 2015 | 100 | |
| 8 | 2015 | 84 | |
| 9 | 2013 | 71 | |
| 10 | 2017 | 63 | |
| 11 | 2014 | 63 | |
| 12 | 2015 | 60 | |
| 13 | 2014 | 60 | |
| 14 | 2014 | 59 | |
| 15 | 2013 | 58 | |
| 16 | 2020 | 58 | |
| 17 | 2013 | 57 | |
| 18 | 2015 | 55 | |
| 19 | 2018 | 52 | |
| 20 | 2007 | 49 |
About Bei Wang
Bei Wang is a scholar working on Molecular Biology, Food Science, Biotechnology, Plant Science and Animal Science and Zoology, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (9 papers), Microbial Inactivation Methods (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Listeria monocytogenes in Food Safety (6 papers), Proteins in Food Systems (5 papers), Antibiotic Resistance in Bacteria (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Food Drying and Modeling (4 papers). The work is most often cited by research in Biotechnology (382 citations), Food Science (769 citations), Molecular Medicine (183 citations), Biochemistry (196 citations) and Animal Science and Zoology (292 citations). Bei Wang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Haile Ma, Zhongli Pan, Bengang Wu, Zhen Hong, Qihao Guo, Cunshan Zhou, Yanyan Zhang, Qianhua Zhao, Yunliang Li and Wenjuan Qu. Their work appears in journals such as Journal of the Science of Food and Agriculture, Ultrasonics Sonochemistry, Food Control, Food Biophysics and LWT.
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.