Zaining Wu
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 1
- RNA modifications and cancer 1
- Genetics 4
- Digestive system and related health 2
- Genomics and Rare Diseases 1
- Nutrition, Genetics, and Disease 1
- Co-authors
- Rajinder Kaul (4 shared papers)Samuel I. Miller (2 shared papers)Danielle Buckley (2 shared papers)Maynard V. Olson (2 shared papers)David P. Speert (1 shared paper)Channakhone Saenphimmachak (1 shared paper)Jane L. Burns (1 shared paper)Bonnie W. Ramsey (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Bacteriology (2 papers)PLoS ONE (1 paper)Nature Genetics (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- United StatesThailandCzechia
In The Last Decade
Zaining Wu
11 papers receiving 1.7k citations
Zaining Wu's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Medicine 405
- Endocrinology 249
- Genetics 449
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 250
Countries citing papers authored by Zaining Wu
This map shows the geographic impact of Zaining 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 Zaining Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaining Wu more than expected).
Fields of papers citing papers by Zaining Wu
This network shows the impact of papers produced by Zaining 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 Zaining Wu. The network helps show where Zaining Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zaining 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
| # | Work | ||
|---|---|---|---|
| 1 | Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients Hit paper breakdown → | 2006 | 1103 |
| 2 | 1995 | 301 | |
| 3 | 2012 | 96 | |
| 4 | 1993 | 69 | |
| 5 | 2008 | 49 | |
| 6 | 2007 | 41 | |
| 7 | 2012 | 37 | |
| 8 | 1997 | 36 | |
| 9 | 2014 | 31 | |
| 10 | 1992 | 11 | |
| 11 | 2018 | 2 |
About Zaining Wu
Zaining Wu is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Pollution, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Digestive system and related health (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), RNA modifications and cancer (1 paper), Genomics and Rare Diseases (1 paper), Insect Utilization and Effects (1 paper), Plant nutrient uptake and metabolism (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Molecular Medicine (405 citations), Endocrinology (249 citations), Genetics (449 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (250 citations). Zaining Wu has collaborated with scholars based in United States, Thailand and Czechia. Frequent co-authors include Rajinder Kaul, Samuel I. Miller, Danielle Buckley, Maynard V. Olson, David P. Speert, Channakhone Saenphimmachak, Jane L. Burns, Bonnie W. Ramsey, David A. D’Argenio and Eric E. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology, PLoS ONE, Nature Genetics and Molecular Genetics and Metabolism.
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.