Shi Wu
Impact in
- Endocrinology top 0.5%
- Biotechnology top 0.5%
- Listeria monocytogenes in Food Safety
Papers in
-
- Bacterial biofilms and quorum sensing 18
- Food Science 31
- Salmonella and Campylobacter epidemiology 17
- Co-authors
- Qingping Wu (87 shared papers)Moutong Chen (60 shared papers)Yu Ding (65 shared papers)Juan Wang (58 shared papers)Haiyan Zeng (34 shared papers)Jumei Zhang (47 shared papers)Liang Xue (39 shared papers)Jumei Zhang (35 shared papers)
- Journals
- Frontiers in Microbiology (28 papers)International Journal of Food Microbiology (12 papers)LWT (6 papers)Food Control (6 papers)Foods (4 papers)
- Partner nations
- ChinaFijiUnited States
In The Last Decade
Shi Wu
99 papers receiving 3.2k citations
Shi Wu's Hit Papers
Peers
Comparison fields: 5 of 104
- Endocrinology 543
- Biotechnology 815
- Molecular Medicine 447
- Food Science 965
- Infectious Diseases 520
Countries citing papers authored by Shi Wu
This map shows the geographic impact of Shi 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 Shi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Wu more than expected).
Fields of papers citing papers by Shi Wu
This network shows the impact of papers produced by Shi 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 Shi Wu. The network helps show where Shi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 273 | |
| 2 | An ultrasensitive CRISPR/Cas12a based electrochemical biosensor for Listeria monocytogenes detection Hit paper breakdown → | 2021 | 235 |
| 3 | 2018 | 164 | |
| 4 | 2018 | 128 | |
| 5 | 2020 | 116 | |
| 6 | 2015 | 102 | |
| 7 | 2020 | 99 | |
| 8 | 2019 | 99 | |
| 9 | 2019 | 84 | |
| 10 | 2019 | 80 | |
| 11 | 2019 | 77 | |
| 12 | 2019 | 68 | |
| 13 | 2018 | 66 | |
| 14 | 2016 | 64 | |
| 15 | 2018 | 62 | |
| 16 | 2020 | 57 | |
| 17 | 2019 | 54 | |
| 18 | 2019 | 51 | |
| 19 | 2018 | 44 | |
| 20 | 2020 | 43 |
About Shi Wu
Shi Wu is a scholar working on Molecular Biology, Food Science, Biotechnology, Infectious Diseases and Endocrinology, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (19 papers), Vibrio bacteria research studies (18 papers), Bacterial biofilms and quorum sensing (18 papers), Salmonella and Campylobacter epidemiology (17 papers), Listeria monocytogenes in Food Safety (17 papers), Bacteriophages and microbial interactions (17 papers), Antibiotic Resistance in Bacteria (13 papers) and Microbial Metabolism and Applications (12 papers). The work is most often cited by research in Endocrinology (543 citations), Biotechnology (815 citations), Molecular Medicine (447 citations), Food Science (965 citations) and Infectious Diseases (520 citations). Shi Wu has collaborated with scholars based in China, Fiji and United States. Frequent co-authors include Qingping Wu, Moutong Chen, Yu Ding, Juan Wang, Haiyan Zeng, Jumei Zhang, Liang Xue, Jumei Zhang, Rui Pang and Youxiong Zhang. Their work appears in journals such as Frontiers in Microbiology, International Journal of Food Microbiology, LWT, Food Control and Foods.
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.