Yang Dai
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Parasitology top 2%
- Parasites and Host Interactions
Papers in
- Parasitology 32
- Parasites and Host Interactions 27
- Parasitic Infections and Diagnostics 5
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- Circular RNAs in diseases 8
- Co-authors
- Zujian Chen (6 shared papers)Xiqiang Liu (4 shared papers)Antonia Kolokythas (3 shared papers)Yi Jin (4 shared papers)Xiaofeng Zhou (5 shared papers)Anxun Wang (4 shared papers)Xiaofeng Zhou (2 shared papers)Xiang Bin Ding (4 shared papers)
- Journals
- PLoS ONE (5 papers)Physica A Statistical Mechanics and its Applications (4 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Parasites & Vectors (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Dai
131 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 489
- Parasitology 205
- Molecular Biology 770
- Statistical and Nonlinear Physics 133
- Immunology 153
Countries citing papers authored by Yang Dai
This map shows the geographic impact of Yang 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 Yang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Dai more than expected).
Fields of papers citing papers by Yang Dai
This network shows the impact of papers produced by Yang 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 Yang Dai. The network helps show where Yang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2022 | 145 | |
| 3 | 2009 | 123 | |
| 4 | 2010 | 80 | |
| 5 | 2010 | 73 | |
| 6 | 2016 | 64 | |
| 7 | 2015 | 61 | |
| 8 | 2016 | 54 | |
| 9 | 2011 | 49 | |
| 10 | 2016 | 49 | |
| 11 | 2015 | 48 | |
| 12 | 2016 | 47 | |
| 13 | 2018 | 44 | |
| 14 | 2008 | 42 | |
| 15 | 2019 | 40 | |
| 16 | 2016 | 39 | |
| 17 | 2013 | 39 | |
| 18 | 2023 | 37 | |
| 19 | 2016 | 35 | |
| 20 | 2022 | 35 |
About Yang Dai
Yang Dai is a scholar working on Parasitology, Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health and Ecology, having authored 148 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parasites and Host Interactions (27 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (8 papers), Parasite Biology and Host Interactions (7 papers), Complex Network Analysis Techniques (6 papers), Research on Leishmaniasis Studies (6 papers) and Parasitic Infections and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (489 citations), Parasitology (205 citations), Molecular Biology (770 citations), Statistical and Nonlinear Physics (133 citations) and Immunology (153 citations). Yang Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zujian Chen, Xiqiang Liu, Antonia Kolokythas, Yi Jin, Xiaofeng Zhou, Anxun Wang, Xiaofeng Zhou, Xiang Bin Ding, Hong Guo and Jonna Frasor. Their work appears in journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications, Frontiers in Cellular and Infection Microbiology, Parasites & Vectors and Frontiers in Immunology.
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.