Dai Wang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
-
- Phosphodiesterase function and regulation 3
- RNA and protein synthesis mechanisms 3
- Extracellular vesicles in disease 3
- Genetics 8
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Xilin Zhao (10 shared papers)Yunxin Xue (10 shared papers)Karl Drlica (6 shared papers)Jianjun Niu (6 shared papers)Yuzhi Hong (4 shared papers)Jie Zeng (4 shared papers)Daniel Walker (1 shared paper)James P. R. Connolly (1 shared paper)
- Journals
- Frontiers in Microbiology (4 papers)Microbiology Spectrum (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Journal of Dentistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dai Wang
35 papers receiving 384 citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 56
- Endocrinology 56
- Orthodontics 17
- Microbiology 19
- Genetics 70
Countries citing papers authored by Dai Wang
This map shows the geographic impact of Dai Wang'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 Dai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Wang more than expected).
Fields of papers citing papers by Dai Wang
This network shows the impact of papers produced by Dai Wang. 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 Dai Wang. The network helps show where Dai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Wang, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 55 | |
| 2 | 2016 | 48 | |
| 3 | 2016 | 46 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2015 | 5 |
About Dai Wang
Dai Wang is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Materials Chemistry, having authored 40 papers that have together received 386 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Bacterial Genetics and Biotechnology (6 papers), Escherichia coli research studies (6 papers), Phosphodiesterase function and regulation (3 papers), Dental materials and restorations (3 papers), RNA and protein synthesis mechanisms (3 papers), Extracellular vesicles in disease (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Molecular Medicine (56 citations), Endocrinology (56 citations), Orthodontics (17 citations), Microbiology (19 citations) and Genetics (70 citations). Dai Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xilin Zhao, Yunxin Xue, Karl Drlica, Jianjun Niu, Yuzhi Hong, Jie Zeng, Daniel Walker, James P. R. Connolly, David G. Smith and Andrew J. Roe. Their work appears in journals such as Frontiers in Microbiology, Microbiology Spectrum, Antimicrobial Agents and Chemotherapy, Journal of Dentistry and Proceedings of the National Academy of Sciences.
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.