Bing Wu
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 7
-
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Xingzhong Liu (5 shared papers)Meichun Xiang (3 shared papers)Jin‐Kui Yang (1 shared paper)Juliana C.N. Chan (1 shared paper)Xiaojun Xu (1 shared paper)Min Yuan (1 shared paper)Hang Fu (1 shared paper)Weiwei Zhang (1 shared paper)
- Journals
- Mycology: An International Journal on Fungal Biology (2 papers)Microchemical Journal (1 paper)Journal of Advanced Nursing (1 paper)China CDC Weekly (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bing Wu
37 papers receiving 1.2k citations
Bing Wu's Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 489
- Cell Biology 194
- Neurology 147
- Endocrinology, Diabetes and Metabolism 113
- Plant Science 232
Countries citing papers authored by Bing Wu
This map shows the geographic impact of Bing 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 Bing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wu more than expected).
Fields of papers citing papers by Bing Wu
This network shows the impact of papers produced by Bing 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 Bing Wu. The network helps show where Bing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS Hit paper breakdown → | 2006 | 558 |
| 2 | Current insights into fungal species diversity and perspective on naming the environmental DNA sequences of fungi Hit paper breakdown → | 2019 | 226 |
| 3 | 2010 | 96 | |
| 4 | 2013 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2023 | 24 | |
| 9 | 2018 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2018 | 19 | |
| 12 | 2020 | 15 | |
| 13 | 2011 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2020 | 7 |
About Bing Wu
Bing Wu is a scholar working on Plant Science, Infectious Diseases, Cell Biology, Surgery and Molecular Biology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (7 papers), Plant Pathogens and Fungal Diseases (4 papers), Lichen and fungal ecology (3 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Immunology Research (3 papers), Vibrio bacteria research studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Infectious Diseases (489 citations), Cell Biology (194 citations), Neurology (147 citations), Endocrinology, Diabetes and Metabolism (113 citations) and Plant Science (232 citations). Bing Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xingzhong Liu, Meichun Xiang, Jin‐Kui Yang, Juliana C.N. Chan, Xiaojun Xu, Min Yuan, Hang Fu, Weiwei Zhang, Muzammil Hussain and Marc Stadler. Their work appears in journals such as Mycology: An International Journal on Fungal Biology, Microchemical Journal, Journal of Advanced Nursing, China CDC Weekly and Diabetic Medicine.
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.