Anhua Wu
- Infectious Diseases top 5%
- Epidemiology
- Molecular Medicine top 5%
- Applied Microbiology and Biotechnology top 1%
- Molecular Biology
- Co-authors
- Chunhui LiJuping DuanXiujuan MengSidi LiuChenchao FuPengcheng ZhouXingmin SunWiep Klaas Smits
- Topics
- Antibiotic Resistance in Bacteria (11 papers)Antibiotic Use and Resistance (10 papers)Clostridium difficile and Clostridium perfringens research (7 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Anhua Wu
38 papers receiving 681 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 266
- Epidemiology 199
- Molecular Medicine 168
- Applied Microbiology and Biotechnology 127
- Molecular Biology 102
Countries citing papers authored by Anhua Wu
This map shows the geographic impact of Anhua 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 Anhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anhua Wu more than expected).
Fields of papers citing papers by Anhua Wu
This network shows the impact of papers produced by Anhua 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 Anhua Wu. The network helps show where Anhua Wu may publish in the future.
Co-authorship network of co-authors of Anhua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Anhua Wu. A scholar is included among the top collaborators of Anhua Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anhua Wu. Anhua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 35 | |
| 15 | 27 | |
| 16 | 20 | |
| 17 | Distribution of pathogens and antimicrobial resistance: An analysis of China healthcare-associated infection cross-sectional survey in 2010 | 2 |
| 18 | 10 | |
| 19 | Hepatitis C virus infection in patients undergoing continuous hemodialysis:an investigation from China National Nosocomial Infection Surveillance System | 3 |
| 20 | Study on the changing trends in national nosocomial infection transection investigation results | 4 |
About Anhua Wu
Anhua Wu is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 42 papers that have together received 688 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Antibiotic Use and Resistance (10 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (127 citations), Molecular Medicine (168 citations) and Infectious Diseases (266 citations). Anhua Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chunhui Li, Juping Duan, Xiujuan Meng, Sidi Liu, Chenchao Fu, Pengcheng Zhou, Xingmin Sun, Wiep Klaas Smits, Shaohui Wang and Céline Harmanus. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.