Chaohui Dai
Impact in
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- Cancer-related molecular mechanisms research
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- Immune Response and Inflammation
Papers in
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- RNA modifications and cancer 3
- Immunology 11
- Immune Response and Inflammation 5
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Co-authors
- Angelica Van Goor (1 shared paper)Taylor Hailstock (2 shared papers)Kristen Walker (2 shared papers)Joan K. Lunney (2 shared papers)Wenbin Bao (13 shared papers)Shenglong Wu (12 shared papers)Guoqiang Zhu (6 shared papers)Zhengchang Wu (3 shared papers)
- Journals
- FEBS Open Bio (3 papers)Biology of Reproduction (2 papers)International Journal of Molecular Sciences (2 papers)Bioscience Reports (2 papers)Animals (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chaohui Dai
22 papers receiving 619 citations
Chaohui Dai's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 67
- Immunology 92
- Animal Science and Zoology 40
- Molecular Biology 253
- Genetics 93
Countries citing papers authored by Chaohui Dai
This map shows the geographic impact of Chaohui 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 Chaohui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaohui Dai more than expected).
Fields of papers citing papers by Chaohui Dai
This network shows the impact of papers produced by Chaohui 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 Chaohui Dai. The network helps show where Chaohui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaohui 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Importance of the pig as a human biomedical model Hit paper breakdown → | 2021 | 463 |
| 2 | 2018 | 18 | |
| 3 | 2023 | 14 | |
| 4 | 2016 | 14 | |
| 5 | 2019 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2016 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 1 |
About Chaohui Dai
Chaohui Dai is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Animal Science and Zoology, having authored 25 papers that have together received 626 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers), Antimicrobial Peptides and Activities (3 papers), Immune Cell Function and Interaction (3 papers), Escherichia coli research studies (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (67 citations), Immunology (92 citations), Animal Science and Zoology (40 citations), Molecular Biology (253 citations) and Genetics (93 citations). Chaohui Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Angelica Van Goor, Taylor Hailstock, Kristen Walker, Joan K. Lunney, Wenbin Bao, Shenglong Wu, Guoqiang Zhu, Zhengchang Wu, Li Sun and Yanjie Huang. Their work appears in journals such as FEBS Open Bio, Biology of Reproduction, International Journal of Molecular Sciences, Bioscience Reports and Animals.
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.