Cui Tai
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 15
- Microbial Metabolic Engineering and Bioproduction 4
- RNA and protein synthesis mechanisms 4
-
- Antibiotic Resistance in Bacteria 20
- Co-authors
- Hong‐Yu Ou (24 shared papers)Zixin Deng (22 shared papers)Dexi Bi (7 shared papers)Yingzhou Xie (5 shared papers)Kumar Rajakumar (9 shared papers)Xiaobin Li (3 shared papers)Meng Liu (3 shared papers)Jingyong Sun (2 shared papers)
- Journals
- Nucleic Acids Research (12 papers)Journal of Bacteriology (9 papers)PLoS ONE (3 papers)Journal of Antimicrobial Chemotherapy (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- ChinaUnited KingdomSerbia
In The Last Decade
Cui Tai
37 papers receiving 2.1k citations
Cui Tai's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Medicine 856
- Endocrinology 522
- Ecology 673
- Microbiology 129
- Pollution 219
Countries citing papers authored by Cui Tai
This map shows the geographic impact of Cui Tai'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 Cui Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cui Tai more than expected).
Fields of papers citing papers by Cui Tai
This network shows the impact of papers produced by Cui Tai. 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 Cui Tai. The network helps show where Cui Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Cui Tai, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ICEberg 2.0: an updated database of bacterial integrative and conjugative elements Hit paper breakdown → | 2018 | 342 |
| 2 | 2018 | 242 | |
| 3 | 2010 | 212 | |
| 4 | 2017 | 184 | |
| 5 | 2011 | 170 | |
| 6 | 2012 | 145 | |
| 7 | 2016 | 104 | |
| 8 | 2012 | 91 | |
| 9 | 2022 | 85 | |
| 10 | 2010 | 63 | |
| 11 | 2015 | 49 | |
| 12 | 2023 | 47 | |
| 13 | 2022 | 44 | |
| 14 | 2009 | 38 | |
| 15 | 2018 | 31 | |
| 16 | 2023 | 28 | |
| 17 | 2010 | 24 | |
| 18 | 2018 | 24 | |
| 19 | 2011 | 20 | |
| 20 | 2019 | 19 |
About Cui Tai
Cui Tai is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Ecology and Food Science, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Bacterial Genetics and Biotechnology (16 papers), Genomics and Phylogenetic Studies (15 papers), Bacteriophages and microbial interactions (13 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), Biofuel production and bioconversion (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Molecular Medicine (856 citations), Endocrinology (522 citations), Ecology (673 citations), Microbiology (129 citations) and Pollution (219 citations). Cui Tai has collaborated with scholars based in China, United Kingdom and Serbia. Frequent co-authors include Hong‐Yu Ou, Zixin Deng, Dexi Bi, Yingzhou Xie, Kumar Rajakumar, Xiaobin Li, Meng Liu, Jingyong Sun, Xinyi He and Ewan M. Harrison. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology, PLoS ONE, Journal of Antimicrobial Chemotherapy and Molecular Microbiology.
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.