Beibei Wu
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Tuberculosis Research and Epidemiology 10
-
- Antibiotic Resistance in Bacteria 13
- Co-authors
- Min Yue (11 shared papers)Zhuqi Chen (6 shared papers)Jawad Ali (5 shared papers)Daniel T. Oyekunle (5 shared papers)Weihuan Fang (4 shared papers)Hang Pan (5 shared papers)Fang Luo (1 shared paper)Ying Yu (2 shared papers)
- Journals
- Journal of Hazardous Materials (4 papers)The Science of The Total Environment (3 papers)Foodborne Pathogens and Disease (2 papers)Frontiers in Public Health (2 papers)Chemical Engineering Journal (2 papers)
- Partner nations
- ChinaUnited StatesNepal
In The Last Decade
Beibei Wu
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Endocrinology 286
- Molecular Medicine 232
- Food Science 332
- Renewable Energy, Sustainability and the Environment 228
- Infectious Diseases 259
Countries citing papers authored by Beibei Wu
This map shows the geographic impact of Beibei Wu'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 Beibei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Wu more than expected).
Fields of papers citing papers by Beibei Wu
This network shows the impact of papers produced by Beibei Wu. 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 Beibei Wu. The network helps show where Beibei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Wu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2012 | 121 | |
| 3 | 2021 | 95 | |
| 4 | 2018 | 80 | |
| 5 | 2015 | 56 | |
| 6 | 2011 | 51 | |
| 7 | 2021 | 48 | |
| 8 | 2020 | 47 | |
| 9 | 2020 | 45 | |
| 10 | 2022 | 44 | |
| 11 | 2021 | 39 | |
| 12 | 2022 | 39 | |
| 13 | 2021 | 38 | |
| 14 | 2018 | 36 | |
| 15 | 2005 | 34 | |
| 16 | 2020 | 34 | |
| 17 | 2022 | 30 | |
| 18 | 2004 | 24 | |
| 19 | 2011 | 22 | |
| 20 | 2021 | 20 |
About Beibei Wu
Beibei Wu is a scholar working on Infectious Diseases, Molecular Medicine, Food Science, Epidemiology and Endocrinology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Salmonella and Campylobacter epidemiology (10 papers), Tuberculosis Research and Epidemiology (10 papers), Vibrio bacteria research studies (7 papers), Mycobacterium research and diagnosis (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Bacteriophages and microbial interactions (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Endocrinology (286 citations), Molecular Medicine (232 citations), Food Science (332 citations), Renewable Energy, Sustainability and the Environment (228 citations) and Infectious Diseases (259 citations). Beibei Wu has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Min Yue, Zhuqi Chen, Jawad Ali, Daniel T. Oyekunle, Weihuan Fang, Hang Pan, Fang Luo, Ying Yu, Peipei Zhang and Binglin Zhu. Their work appears in journals such as Journal of Hazardous Materials, The Science of The Total Environment, Foodborne Pathogens and Disease, Frontiers in Public Health and Chemical Engineering Journal.
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.