Haichen Song
Impact in
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 17
- Influenza Virus Research Studies 14
- Respiratory viral infections research 4
- Virology and Viral Diseases 3
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- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 3
- Co-authors
- Daniel R. Pérez (16 shared papers)Erin M. Sorrell (8 shared papers)Hongquan Wan (6 shared papers)Øystein Evensen (3 shared papers)Vikram N. Vakharia (4 shared papers)Nina Santi (3 shared papers)Gloria Ramírez (7 shared papers)Lindomar Pena (2 shared papers)
- Journals
- Journal of Virology (4 papers)PLoS ONE (4 papers)Virology (2 papers)Clinical and Vaccine Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesNorwayChina
In The Last Decade
Haichen Song
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Agronomy and Crop Science 410
- Epidemiology 874
- Infectious Diseases 444
- Animal Science and Zoology 174
- Immunology 337
Countries citing papers authored by Haichen Song
This map shows the geographic impact of Haichen Song'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 Haichen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichen Song more than expected).
Fields of papers citing papers by Haichen Song
This network shows the impact of papers produced by Haichen Song. 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 Haichen Song. The network helps show where Haichen Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Haichen Song, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 244 | |
| 2 | 2009 | 190 | |
| 3 | 2005 | 102 | |
| 4 | 2010 | 98 | |
| 5 | 2008 | 78 | |
| 6 | 2007 | 75 | |
| 7 | 2010 | 68 | |
| 8 | 2005 | 64 | |
| 9 | 2011 | 63 | |
| 10 | 2005 | 45 | |
| 11 | 2008 | 40 | |
| 12 | 2010 | 32 | |
| 13 | 2009 | 21 | |
| 14 | 2010 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2011 | 19 | |
| 17 | 2008 | 18 | |
| 18 | 2022 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 2006 | 2 |
About Haichen Song
Haichen Song is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Immunology and Genetics, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Animal Disease Management and Epidemiology (8 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Virology and Viral Diseases (3 papers), Vector-Borne Animal Diseases (3 papers), Viral Infections and Vectors (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Agronomy and Crop Science (410 citations), Epidemiology (874 citations), Infectious Diseases (444 citations), Animal Science and Zoology (174 citations) and Immunology (337 citations). Haichen Song has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Daniel R. Pérez, Erin M. Sorrell, Hongquan Wan, Øystein Evensen, Vikram N. Vakharia, Nina Santi, Gloria Ramírez, Lindomar Pena, M. Jaber Hossain and James C. Paulson. Their work appears in journals such as Journal of Virology, PLoS ONE, Virology, Clinical and Vaccine Immunology and Proceedings of the National Academy of Sciences.
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.