Dong Yü
- Parasitology top 1%
- Toxoplasma gondii Research Studies 11
- Epidemiology top 1%
- Cytomegalovirus and herpesvirus research 33
- Herpesvirus Infections and Treatments 29
- Virology top 2%
- Immunology top 5%
- Aquaculture disease management and microbiota 4
- Immunotherapy and Immune Responses 4
- Infectious Diseases top 2%
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- RNA regulation and disease 7
- RNA Interference and Gene Delivery 6
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- Virus-based gene therapy research 6
- Co-authors
- Thomas ShenkJeffrey B. UlmerMaria Cristina Carlan da SilvaSandra K. WellerZhikang QianGiulietta MaruggiBaoqin XuanAnthony R. Fehr
- Cited by
- ParasitologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Genes & Development (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Dong Yü
69 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Parasitology 581
- Epidemiology 2.2k
- Virology 273
- Immunology 912
- Infectious Diseases 626
Countries citing papers authored by Dong Yü
This map shows the geographic impact of Dong Yü'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 Dong Yü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yü more than expected).
Fields of papers citing papers by Dong Yü
This network shows the impact of papers produced by Dong Yü. 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 Dong Yü. The network helps show where Dong Yü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong Yü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 24 | |
| 8 | 2019 | 51 | |
| 9 | 2017 | 65 | |
| 10 | 2015 | 37 | |
| 11 | 2014 | 32 | |
| 12 | 2014 | 142 | |
| 13 | 2013 | 24 | |
| 14 | 2011 | 53 | |
| 15 | 2011 | 4 | |
| 16 | 2011 | 26 | |
| 17 | Identification and determination of phenolic acids in purple yam. | 2010 | 1 |
| 18 | Determination of Total Phenolic Acid in Fructus malvae | 2010 | 1 |
| 19 | 2010 | 38 | |
| 20 | 1997 | 15 |
About Dong Yü
Dong Yü is a scholar working on Parasitology, Epidemiology and Virology, having authored 72 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (33 papers), Herpesvirus Infections and Treatments (29 papers), Toxoplasma gondii Research Studies (11 papers), RNA regulation and disease (7 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (6 papers), Aquaculture disease management and microbiota (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Parasitology (581 citations), Epidemiology (2.2k citations) and Virology (273 citations). Dong Yü has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Thomas Shenk, Jeffrey B. Ulmer, Maria Cristina Carlan da Silva, Sandra K. Weller, Zhikang Qian, Giulietta Maruggi, Baoqin Xuan, Anthony R. Fehr, Junwei Li and Cuiling Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and The Journal of 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.