Hanxin Lu
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Epidemiology top 5%
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 11
- Respiratory viral infections research 10
- Virology and Viral Diseases 3
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- T-cell and Retrovirus Studies 5
- Co-authors
- Gregory M. Glenn (11 shared papers)Gale Smith (11 shared papers)John Brady (6 shared papers)Louis Fries (6 shared papers)Eloi Kpamegan (6 shared papers)David C. Flyer (7 shared papers)Somia P. Hickman (5 shared papers)Pedro A. Piedra (5 shared papers)
- Journals
- Vaccine (8 papers)Journal of Virology (3 papers)PLoS ONE (3 papers)Molecular and Cellular Biology (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Hanxin Lu
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 359
- Epidemiology 606
- Agronomy and Crop Science 168
- Immunology 326
- Virology 42
Countries citing papers authored by Hanxin Lu
This map shows the geographic impact of Hanxin Lu'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 Hanxin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanxin Lu more than expected).
Fields of papers citing papers by Hanxin Lu
This network shows the impact of papers produced by Hanxin Lu. 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 Hanxin Lu. The network helps show where Hanxin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanxin Lu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 151 | |
| 2 | 2012 | 129 | |
| 3 | 2015 | 125 | |
| 4 | 1999 | 125 | |
| 5 | 2012 | 119 | |
| 6 | 2016 | 103 | |
| 7 | 2017 | 80 | |
| 8 | 2017 | 66 | |
| 9 | 2014 | 58 | |
| 10 | 2006 | 56 | |
| 11 | 2002 | 53 | |
| 12 | 2004 | 47 | |
| 13 | 2008 | 33 | |
| 14 | 2006 | 29 | |
| 15 | 2019 | 28 | |
| 16 | 2015 | 25 | |
| 17 | 2018 | 22 | |
| 18 | 2010 | 20 | |
| 19 | 2024 | 17 | |
| 20 | 2011 | 17 |
About Hanxin Lu
Hanxin Lu is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), Vector-Borne Animal Diseases (5 papers), T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Virology and Viral Diseases (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Cancer-related gene regulation (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (359 citations), Epidemiology (606 citations), Agronomy and Crop Science (168 citations), Immunology (326 citations) and Virology (42 citations). Hanxin Lu has collaborated with scholars based in United States, India and China. Frequent co-authors include Gregory M. Glenn, Gale Smith, John Brady, Louis Fries, Eloi Kpamegan, David C. Flyer, Somia P. Hickman, Pedro A. Piedra, R. Louis Schiltz and D. Nigel Thomas. Their work appears in journals such as Vaccine, Journal of Virology, PLoS ONE, Molecular and Cellular Biology and Journal of Lipid Research.
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.