Libo Dong
Impact in
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 27
- Influenza Virus Research Studies 27
- Respiratory viral infections research 6
-
- Animal Disease Management and Epidemiology 9
- Co-authors
- Jacqueline M. Katz (4 shared papers)Kathy Hancock (4 shared papers)Xiuhua Lu (4 shared papers)Feng Liu (2 shared papers)Weimin Zhong (1 shared paper)Hong Sun (1 shared paper)Terrence M. Tumpey (1 shared paper)Nancy J. Cox (1 shared paper)
- Journals
- PLoS ONE (6 papers)The Journal of Infectious Diseases (2 papers)Virology (2 papers)Virology Journal (2 papers)Infectious Diseases of Poverty (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Libo Dong
33 papers receiving 1.8k citations
Libo Dong's Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 1.5k
- Agronomy and Crop Science 423
- Modeling and Simulation 163
- Infectious Diseases 459
- Immunology 259
Countries citing papers authored by Libo Dong
This map shows the geographic impact of Libo Dong'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 Libo Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Dong more than expected).
Fields of papers citing papers by Libo Dong
This network shows the impact of papers produced by Libo Dong. 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 Libo Dong. The network helps show where Libo Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Libo Dong, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cross-Reactive Antibody Responses to the 2009 Pandemic H1N1 Influenza Virus Hit paper breakdown → | 2009 | 1052 |
| 2 | 2009 | 107 | |
| 3 | 2012 | 92 | |
| 4 | 2016 | 76 | |
| 5 | 2015 | 61 | |
| 6 | 2013 | 50 | |
| 7 | 2010 | 41 | |
| 8 | 2010 | 33 | |
| 9 | 2016 | 27 | |
| 10 | 2019 | 26 | |
| 11 | 2010 | 23 | |
| 12 | 2011 | 23 | |
| 13 | 2009 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2014 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 2014 | 13 |
About Libo Dong
Libo Dong is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Immunology and Molecular Biology, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (27 papers), Animal Disease Management and Epidemiology (9 papers), Respiratory viral infections research (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (2 papers), Immune Response and Inflammation (2 papers), Forensic and Genetic Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Epidemiology (1.5k citations), Agronomy and Crop Science (423 citations), Modeling and Simulation (163 citations), Infectious Diseases (459 citations) and Immunology (259 citations). Libo Dong has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jacqueline M. Katz, Kathy Hancock, Xiuhua Lu, Feng Liu, Weimin Zhong, Hong Sun, Terrence M. Tumpey, Nancy J. Cox, Vic Veguilla and Joshua DeVos. Their work appears in journals such as PLoS ONE, The Journal of Infectious Diseases, Virology, Virology Journal and Infectious Diseases of Poverty.
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.