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
-
- Viral gastroenteritis research and epidemiology 20
- Co-authors
- Huanchun Chen (60 shared papers)Zhong Peng (50 shared papers)Xibiao Tang (22 shared papers)Qigai He (13 shared papers)Rui Zhou (10 shared papers)Erchao Sun (9 shared papers)Wan Liang (23 shared papers)Yibao Chen (10 shared papers)
- Journals
- Vaccine (6 papers)Viruses (4 papers)Archives of Virology (4 papers)Frontiers in Microbiology (4 papers)BMC Veterinary Research (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Wu
130 papers receiving 3.0k citations
Bin Wu's Hit Papers
Peers
Comparison fields: 5 of 115
- Microbiology 727
- Endocrinology 412
- Molecular Medicine 288
- Animal Science and Zoology 447
- Infectious Diseases 661
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2009 | 163 | |
| 3 | Gut bacterial profiles in Parkinson's disease: A systematic review Hit paper breakdown → | 2022 | 132 |
| 4 | 2016 | 126 | |
| 5 | 2019 | 102 | |
| 6 | 2022 | 94 | |
| 7 | 2013 | 93 | |
| 8 | 2015 | 70 | |
| 9 | 2020 | 69 | |
| 10 | 2010 | 69 | |
| 11 | 2015 | 57 | |
| 12 | 2018 | 53 | |
| 13 | 2005 | 50 | |
| 14 | 2018 | 50 | |
| 15 | 2003 | 47 | |
| 16 | 2019 | 45 | |
| 17 | 2022 | 44 | |
| 18 | 2002 | 44 | |
| 19 | 2011 | 39 | |
| 20 | 2013 | 39 |
About Bin Wu
Bin Wu is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Endocrinology and Ecology, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Microbial infections and disease research (34 papers), Viral gastroenteritis research and epidemiology (20 papers), Bacteriophages and microbial interactions (19 papers), Animal Virus Infections Studies (17 papers), Herpesvirus Infections and Treatments (15 papers), Plant Virus Research Studies (15 papers), Escherichia coli research studies (15 papers) and Salmonella and Campylobacter epidemiology (11 papers). The work is most often cited by research in Microbiology (727 citations), Endocrinology (412 citations), Molecular Medicine (288 citations), Animal Science and Zoology (447 citations) and Infectious Diseases (661 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, Erchao Sun, Wan Liang, Yibao Chen, Xiangru Wang and Chen Tan. Their work appears in journals such as Vaccine, Viruses, Archives of Virology, Frontiers in Microbiology and BMC Veterinary Research.
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.