Bin Wu
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Endocrinology top 1%
Papers in
- Microbiology 41
- Microbial infections and disease research 34
- Bacterial Infections and Vaccines 11
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- Viral gastroenteritis research and epidemiology 19
- Co-authors
- Huanchun Chen (60 shared papers)Zhong Peng (51 shared papers)Xibiao Tang (22 shared papers)Qigai He (13 shared papers)Rui Zhou (10 shared papers)Xiangru Wang (15 shared papers)Erchao Sun (9 shared papers)Yibao Chen (10 shared papers)
- Journals
- Vaccine (6 papers)Frontiers in Microbiology (4 papers)Viruses (4 papers)Archives of Virology (4 papers)Virus Genes (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Wu
132 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 113
- Microbiology 735
- Endocrinology 400
- Molecular Medicine 276
- Animal Science and Zoology 423
- Infectious Diseases 628
Countries citing papers authored by Bin Wu
This map shows the geographic impact of Bin 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 Bin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wu more than expected).
Fields of papers citing papers by Bin Wu
This network shows the impact of papers produced by Bin 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 Bin Wu. The network helps show where Bin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 185 | |
| 2 | 2009 | 166 | |
| 3 | 2022 | 144 | |
| 4 | 2016 | 132 | |
| 5 | 2019 | 113 | |
| 6 | 2022 | 103 | |
| 7 | 2013 | 94 | |
| 8 | 2020 | 72 | |
| 9 | 2015 | 71 | |
| 10 | 2010 | 69 | |
| 11 | 2015 | 58 | |
| 12 | 2018 | 55 | |
| 13 | 2018 | 51 | |
| 14 | 2005 | 50 | |
| 15 | 2022 | 48 | |
| 16 | 2019 | 48 | |
| 17 | 2003 | 47 | |
| 18 | 2002 | 44 | |
| 19 | 2011 | 41 | |
| 20 | 2020 | 40 |
About Bin Wu
Bin Wu is a scholar working on Microbiology, Infectious Diseases, Endocrinology, Ecology and Molecular Biology, having authored 143 papers that have together received 3.2k indexed citations. Recurring topics across this work include Microbial infections and disease research (34 papers), Bacteriophages and microbial interactions (19 papers), Viral gastroenteritis research and epidemiology (19 papers), Animal Virus Infections Studies (17 papers), Plant Virus Research Studies (16 papers), Herpesvirus Infections and Treatments (15 papers), Escherichia coli research studies (15 papers) and Bacterial Infections and Vaccines (11 papers). The work is most often cited by research in Microbiology (735 citations), Endocrinology (400 citations), Molecular Medicine (276 citations), Animal Science and Zoology (423 citations) and Infectious Diseases (628 citations). Bin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huanchun Chen, Zhong Peng, Xibiao Tang, Qigai He, Rui Zhou, Xiangru Wang, Erchao Sun, Yibao Chen, Wan Liang and Zhuofei Xu. Their work appears in journals such as Vaccine, Frontiers in Microbiology, Viruses, Archives of Virology and Virus Genes.
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.