Bei‐Bei Chu
Impact in
- Food Science top 5%
- Proteins in Food Systems
- Food Chemistry and Fat Analysis
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
- Epidemiology 25
- Herpesvirus Infections and Treatments 18
- Co-authors
- Peter J. Wilde (1 shared paper)Guo‐Yu Yang (44 shared papers)Jiang Wang (39 shared papers)Badlishah Sham Baharin (5 shared papers)Siew Young Quek (5 shared papers)Sheng‐Li Ming (27 shared papers)Y. B. Che Man (5 shared papers)Lei Zeng (19 shared papers)
- Journals
- International Journal of Biological Macromolecules (7 papers)Journal of Virology (4 papers)Molecular Immunology (4 papers)Journal of Food Engineering (3 papers)Science China Life Sciences (3 papers)
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Bei‐Bei Chu
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Food Science 274
- Animal Science and Zoology 152
- Immunology 203
- Infectious Diseases 161
- Epidemiology 257
Countries citing papers authored by Bei‐Bei Chu
This map shows the geographic impact of Bei‐Bei Chu'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‐Bei Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei‐Bei Chu more than expected).
Fields of papers citing papers by Bei‐Bei Chu
This network shows the impact of papers produced by Bei‐Bei Chu. 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‐Bei Chu. The network helps show where Bei‐Bei Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei‐Bei Chu, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 287 | |
| 2 | 2003 | 82 | |
| 3 | 2019 | 67 | |
| 4 | 2009 | 60 | |
| 5 | 2021 | 59 | |
| 6 | 2019 | 57 | |
| 7 | 2020 | 55 | |
| 8 | 2009 | 50 | |
| 9 | 2002 | 46 | |
| 10 | 2017 | 44 | |
| 11 | 2015 | 38 | |
| 12 | 2015 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2001 | 34 | |
| 15 | 2019 | 32 | |
| 16 | 2022 | 31 | |
| 17 | 2018 | 30 | |
| 18 | 2020 | 29 | |
| 19 | 2022 | 28 | |
| 20 | 2002 | 28 |
About Bei‐Bei Chu
Bei‐Bei Chu is a scholar working on Molecular Biology, Epidemiology, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (18 papers), Animal Virus Infections Studies (14 papers), interferon and immune responses (10 papers), Virus-based gene therapy research (9 papers), Edible Oils Quality and Analysis (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Food Science (274 citations), Animal Science and Zoology (152 citations), Immunology (203 citations), Infectious Diseases (161 citations) and Epidemiology (257 citations). Bei‐Bei Chu has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Peter J. Wilde, Guo‐Yu Yang, Jiang Wang, Badlishah Sham Baharin, Siew Young Quek, Sheng‐Li Ming, Y. B. Che Man, Lei Zeng, Bing-Qian Su and Bao‐Liang Song. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Virology, Molecular Immunology, Journal of Food Engineering and Science China Life Sciences.
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.