Wei Dai
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Enterobacteriaceae and Cronobacter Research
- Vibrio bacteria research studies
Papers in
- Co-authors
- Liping Zhang (5 shared papers)Xiaojiao Zhang (3 shared papers)Shifeng Huang (3 shared papers)Shunping He (2 shared papers)István Tóth (4 shared papers)Reshma J. Nevagi (3 shared papers)Ju Cao (2 shared papers)Shan Sun (2 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Public Health (2 papers)Marine Pollution Bulletin (2 papers)Infection Genetics and Evolution (2 papers)Public Health Nutrition (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Dai
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 147
- Molecular Medicine 182
- Endocrinology 106
- Obstetrics and Gynecology 62
- Applied Microbiology and Biotechnology 12
- Aquatic Science 39
Countries citing papers authored by Wei Dai
This map shows the geographic impact of Wei Dai'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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
Fields of papers citing papers by Wei Dai
This network shows the impact of papers produced by Wei Dai. 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 Wei Dai. The network helps show where Wei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dai, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2017 | 81 | |
| 3 | 2016 | 63 | |
| 4 | 2017 | 57 | |
| 5 | 2015 | 53 | |
| 6 | 2012 | 52 | |
| 7 | 2017 | 46 | |
| 8 | 2012 | 45 | |
| 9 | 2017 | 41 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 37 | |
| 12 | 2019 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2019 | 28 | |
| 15 | 2022 | 28 | |
| 16 | 2017 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2015 | 25 | |
| 19 | 2014 | 24 | |
| 20 | 2017 | 22 |
About Wei Dai
Wei Dai is a scholar working on Cancer Research, Molecular Biology, Oceanography, Oncology and Molecular Medicine, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Marine and coastal plant biology (6 papers), Planetary Science and Exploration (3 papers), Environmental Impact and Sustainability (3 papers), Energy, Environment, Economic Growth (3 papers), Diet and metabolism studies (2 papers), Streptococcal Infections and Treatments (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Molecular Medicine (182 citations), Endocrinology (106 citations), Obstetrics and Gynecology (62 citations), Applied Microbiology and Biotechnology (12 citations) and Aquatic Science (39 citations). Wei Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liping Zhang, Xiaojiao Zhang, Shifeng Huang, Shunping He, István Tóth, Reshma J. Nevagi, Ju Cao, Shan Sun, He Wu and Weitao Chen. Their work appears in journals such as PLoS ONE, BMC Public Health, Marine Pollution Bulletin, Infection Genetics and Evolution and Public Health Nutrition.
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.