Ying Dang
Impact in
- Virology top 0.5%
- HIV Research and Treatment
Papers in
- Virology 21
- HIV Research and Treatment 21
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- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 5
- Co-authors
- Yong‐Hui Zheng (16 shared papers)Xiaojun Wang (12 shared papers)Hongming Ma (5 shared papers)Haoquan Wu (6 shared papers)Premlata Shankar (6 shared papers)Tao Zhou (7 shared papers)Walter J. Esselman (2 shared papers)Gengxiang Jia (2 shared papers)
- Journals
- Journal of Virology (8 papers)Journal of Biological Chemistry (5 papers)Molecular Therapy (2 papers)Retrovirology (2 papers)Molecular Therapy — Nucleic Acids (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ying Dang
40 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Virology 770
- Business and International Management 61
- Infectious Diseases 433
- Aging 34
- Immunology 306
Countries citing papers authored by Ying Dang
This map shows the geographic impact of Ying Dang'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 Ying Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Dang more than expected).
Fields of papers citing papers by Ying Dang
This network shows the impact of papers produced by Ying Dang. 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 Ying Dang. The network helps show where Ying Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Dang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 286 | |
| 2 | 2006 | 213 | |
| 3 | 2015 | 185 | |
| 4 | 2008 | 102 | |
| 5 | 2010 | 100 | |
| 6 | 2014 | 98 | |
| 7 | 2011 | 97 | |
| 8 | 2009 | 83 | |
| 9 | 2013 | 67 | |
| 10 | 2008 | 52 | |
| 11 | 2006 | 48 | |
| 12 | 2010 | 47 | |
| 13 | 2014 | 47 | |
| 14 | 2014 | 43 | |
| 15 | 2011 | 41 | |
| 16 | 2014 | 38 | |
| 17 | 2014 | 35 | |
| 18 | 2010 | 32 | |
| 19 | 2008 | 31 | |
| 20 | 2017 | 25 |
About Ying Dang
Ying Dang is a scholar working on Virology, Molecular Biology, Infectious Diseases, Epidemiology and Immunology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), HIV/AIDS drug development and treatment (10 papers), Cytomegalovirus and herpesvirus research (8 papers), Immune Cell Function and Interaction (7 papers), CRISPR and Genetic Engineering (7 papers), RNA Interference and Gene Delivery (5 papers), Advanced battery technologies research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Virology (770 citations), Business and International Management (61 citations), Infectious Diseases (433 citations), Aging (34 citations) and Immunology (306 citations). Ying Dang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yong‐Hui Zheng, Xiaojun Wang, Hongming Ma, Haoquan Wu, Premlata Shankar, Tao Zhou, Walter J. Esselman, Gengxiang Jia, Yanxing Han and Chunting Ye. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Molecular Therapy, Retrovirology and Molecular Therapy — Nucleic Acids.
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.