Libo Dong
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 30
- Influenza Virus Research Studies 30
- Respiratory viral infections research 9
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- Animal Disease Management and Epidemiology 19
- Co-authors
- Xiuhua Lu (4 shared papers)Kathy Hancock (4 shared papers)Jacqueline M. Katz (4 shared papers)Feng Liu (2 shared papers)Weimin Zhong (1 shared paper)T. Lynnette Brammer (1 shared paper)Paul Gargiullo (1 shared paper)Hong Sun (1 shared paper)
- Journals
- PLoS ONE (6 papers)Infection Genetics and Evolution (2 papers)Virology Journal (2 papers)Infectious Diseases of Poverty (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Libo Dong
32 papers receiving 1.7k citations
Libo Dong's Hit Papers
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 253
- Agronomy and Crop Science 499
- Epidemiology 1.5k
- Infectious Diseases 572
- Immunology 301
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 32 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 | 1031 |
| 2 | 2009 | 103 | |
| 3 | 2012 | 87 | |
| 4 | 2016 | 73 | |
| 5 | 2015 | 59 | |
| 6 | 2013 | 48 | |
| 7 | 2010 | 32 | |
| 8 | 2016 | 27 | |
| 9 | 2019 | 25 | |
| 10 | 2011 | 23 | |
| 11 | 2010 | 23 | |
| 12 | 2009 | 19 | |
| 13 | 2014 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2014 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2011 | 12 |
About Libo Dong
Libo Dong is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Immunology and Molecular Biology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (30 papers), Animal Disease Management and Epidemiology (19 papers), Viral gastroenteritis research and epidemiology (11 papers), Respiratory viral infections research (9 papers), Viral Infections and Vectors (4 papers), interferon and immune responses (2 papers), Immune Response and Inflammation (2 papers) and Forensic Fingerprint Detection Methods (1 paper). The work is most often cited by research in Modeling and Simulation (253 citations), Agronomy and Crop Science (499 citations), Epidemiology (1.5k citations), Infectious Diseases (572 citations) and Immunology (301 citations). Libo Dong has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiuhua Lu, Kathy Hancock, Jacqueline M. Katz, Feng Liu, Weimin Zhong, T. Lynnette Brammer, Paul Gargiullo, Hong Sun, Vic Veguilla and Nancy J. Cox. Their work appears in journals such as PLoS ONE, Infection Genetics and Evolution, Virology Journal, Infectious Diseases of Poverty and The Journal of Infectious Diseases.
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.