Lu Dai
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 50
- Viral-associated cancers and disorders 39
- Epidemiology 32
- Cytomegalovirus and herpesvirus research 25
- Herpesvirus Infections and Treatments 6
- Co-authors
- Zhiqiang Qin (64 shared papers)Chris H. Parsons (19 shared papers)Bryan P. Toole (13 shared papers)Luis Del Valle (15 shared papers)Wenfan Fu (9 shared papers)Jian Zhao (10 shared papers)Jun Yin (9 shared papers)Jungang Chen (15 shared papers)
- Journals
- Oncotarget (10 papers)Journal of Medical Virology (9 papers)PLoS ONE (6 papers)Journal of Virology (4 papers)Oncogene (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lu Dai
135 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 136
- Virology 138
- Cancer Research 367
- Oncology 616
- Immunology 400
- Molecular Biology 1.2k
Countries citing papers authored by Lu Dai
This map shows the geographic impact of Lu 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 Lu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Dai more than expected).
Fields of papers citing papers by Lu Dai
This network shows the impact of papers produced by Lu 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 Lu Dai. The network helps show where Lu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 222 | |
| 2 | 1997 | 128 | |
| 3 | 2020 | 106 | |
| 4 | 2024 | 93 | |
| 5 | 2014 | 83 | |
| 6 | 2014 | 70 | |
| 7 | 2014 | 70 | |
| 8 | 2018 | 57 | |
| 9 | 2013 | 55 | |
| 10 | 2019 | 52 | |
| 11 | 2011 | 52 | |
| 12 | 2017 | 51 | |
| 13 | 2014 | 51 | |
| 14 | 2015 | 48 | |
| 15 | 2017 | 48 | |
| 16 | 2016 | 48 | |
| 17 | 2013 | 45 | |
| 18 | 2010 | 44 | |
| 19 | 2019 | 44 | |
| 20 | 2011 | 44 |
About Lu Dai
Lu Dai is a scholar working on Oncology, Epidemiology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 140 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (39 papers), Cytomegalovirus and herpesvirus research (25 papers), Immune Cell Function and Interaction (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Sphingolipid Metabolism and Signaling (7 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Virology (138 citations), Cancer Research (367 citations), Oncology (616 citations), Immunology (400 citations) and Molecular Biology (1.2k citations). Lu Dai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhiqiang Qin, Chris H. Parsons, Bryan P. Toole, Luis Del Valle, Wenfan Fu, Jian Zhao, Jun Yin, Jungang Chen, Davy Guillarme and Hongxia Xi. Their work appears in journals such as Oncotarget, Journal of Medical Virology, PLoS ONE, Journal of Virology and Oncogene.
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.