Ming Duan
Impact in
- Virology top 5%
- HIV Research and Treatment
- Biological Psychiatry top 5%
Papers in
-
- RNA modifications and cancer 8
- Immunology 16
- interferon and immune responses 10
- Co-authors
- Shilpa Buch (10 shared papers)Honghong Yao (11 shared papers)Maolin Zhang (16 shared papers)Zhenhong Guan (15 shared papers)Guoku Hu (4 shared papers)Lu Yang (3 shared papers)Yidi Guo (9 shared papers)Ning Shi (11 shared papers)
- Journals
- Veterinary Microbiology (4 papers)Journal of Neuroscience (3 papers)Journal of Medical Virology (3 papers)Biochemical and Biophysical Research Communications (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Duan
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Virology 198
- Biological Psychiatry 69
- Neurology 227
- Cancer Research 358
- Immunology 337
Countries citing papers authored by Ming Duan
This map shows the geographic impact of Ming Duan'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 Ming Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Duan more than expected).
Fields of papers citing papers by Ming Duan
This network shows the impact of papers produced by Ming Duan. 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 Ming Duan. The network helps show where Ming Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Duan, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 169 | |
| 2 | 2014 | 141 | |
| 3 | 2021 | 97 | |
| 4 | 2010 | 86 | |
| 5 | 2011 | 85 | |
| 6 | 2009 | 81 | |
| 7 | 2013 | 71 | |
| 8 | 2016 | 67 | |
| 9 | 2015 | 66 | |
| 10 | 2014 | 50 | |
| 11 | 2019 | 48 | |
| 12 | 2011 | 48 | |
| 13 | 2012 | 40 | |
| 14 | 2016 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 2012 | 37 | |
| 17 | 2010 | 36 | |
| 18 | 2021 | 33 | |
| 19 | 2016 | 31 | |
| 20 | 2012 | 29 |
About Ming Duan
Ming Duan is a scholar working on Molecular Biology, Immunology, Cancer Research, Virology and Epidemiology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Rabies epidemiology and control (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Influenza Virus Research Studies (5 papers) and Venomous Animal Envenomation and Studies (4 papers). The work is most often cited by research in Virology (198 citations), Biological Psychiatry (69 citations), Neurology (227 citations), Cancer Research (358 citations) and Immunology (337 citations). Ming Duan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shilpa Buch, Honghong Yao, Maolin Zhang, Zhenhong Guan, Guoku Hu, Lu Yang, Yidi Guo, Ning Shi, Paul D. Cheney and Sowmya V. Yelamanchili. Their work appears in journals such as Veterinary Microbiology, Journal of Neuroscience, Journal of Medical Virology, Biochemical and Biophysical Research Communications and Nature Communications.
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.