Shangwei Wu
Impact in
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- RNA and protein synthesis mechanisms 4
-
- Antimicrobial Resistance in Staphylococcus 7
- Co-authors
- Hermı́nia de Lencastre (9 shared papers)Alexander Tomasz (7 shared papers)Janelle Ward (2 shared papers)Xiaolei Guo (4 shared papers)Daniel Trottier (2 shared papers)Zhengyu Zeng (3 shared papers)Ana Madalena Ludovice (3 shared papers)Mariana G. Pinho (2 shared papers)
- Journals
- Microbial Drug Resistance (5 papers)Journal of Bacteriology (3 papers)Information Communication & Society (1 paper)Emerging Microbes & Infections (1 paper)New Media & Society (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Shangwei Wu
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 549
- Molecular Medicine 109
- Clinical Biochemistry 119
- Microbiology 66
- Epidemiology 327
Countries citing papers authored by Shangwei Wu
This map shows the geographic impact of Shangwei 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 Shangwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangwei Wu more than expected).
Fields of papers citing papers by Shangwei Wu
This network shows the impact of papers produced by Shangwei 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 Shangwei Wu. The network helps show where Shangwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shangwei 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 201 | |
| 2 | 1996 | 142 | |
| 3 | 2015 | 131 | |
| 4 | 1999 | 120 | |
| 5 | 2016 | 91 | |
| 6 | 2017 | 67 | |
| 7 | 1998 | 65 | |
| 8 | 1997 | 57 | |
| 9 | 2018 | 56 | |
| 10 | 1996 | 52 | |
| 11 | 2018 | 47 | |
| 12 | 2022 | 40 | |
| 13 | 2015 | 39 | |
| 14 | 1997 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2014 | 29 | |
| 17 | 2016 | 20 | |
| 18 | 1998 | 19 | |
| 19 | 2002 | 19 | |
| 20 | 2020 | 17 |
About Shangwei Wu
Shangwei Wu is a scholar working on Molecular Biology, Infectious Diseases, Sociology and Political Science, Genetics and Gender Studies, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Genetics and Biotechnology (7 papers), Gender, Feminism, and Media (5 papers), Sexuality, Behavior, and Technology (5 papers), RNA and protein synthesis mechanisms (4 papers), Asian Culture and Media Studies (3 papers), Cervical Cancer and HPV Research (3 papers) and Marriage and Sexual Relationships (3 papers). The work is most often cited by research in Infectious Diseases (549 citations), Molecular Medicine (109 citations), Clinical Biochemistry (119 citations), Microbiology (66 citations) and Epidemiology (327 citations). Shangwei Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hermı́nia de Lencastre, Alexander Tomasz, Janelle Ward, Xiaolei Guo, Daniel Trottier, Zhengyu Zeng, Ana Madalena Ludovice, Mariana G. Pinho, G. Bea A. Wisman and Rong Wang. Their work appears in journals such as Microbial Drug Resistance, Journal of Bacteriology, Information Communication & Society, Emerging Microbes & Infections and New Media & Society.
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.