Xiaoxu Lin
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
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- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
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- Influenza Virus Research Studies 7
- Respiratory viral infections research 4
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- Animal Disease Management and Epidemiology 5
- Co-authors
- Richard G. Jarman (7 shared papers)Stephen J. Thomas (2 shared papers)Robert A. Kuschner (2 shared papers)Jun Hang (1 shared paper)Nela Zavaljevski (1 shared paper)Jason M Blaylock (1 shared paper)Ravi Vijaya Satya (1 shared paper)Valmik Desai (1 shared paper)
- Journals
- Journal of Virology (2 papers)PLoS Pathogens (1 paper)Scientific Reports (1 paper)BMC Biology (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United StatesChinaPeru
In The Last Decade
Xiaoxu Lin
10 papers receiving 190 citations
Peers
Comparison fields: 5 of 52
- Agronomy and Crop Science 68
- Infectious Diseases 59
- Epidemiology 107
- Animal Science and Zoology 21
- Microbiology 11
Countries citing papers authored by Xiaoxu Lin
This map shows the geographic impact of Xiaoxu Lin'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 Xiaoxu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxu Lin more than expected).
Fields of papers citing papers by Xiaoxu Lin
This network shows the impact of papers produced by Xiaoxu Lin. 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 Xiaoxu Lin. The network helps show where Xiaoxu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxu Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2016 | 26 | |
| 3 | 2016 | 19 | |
| 4 | 2014 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2015 | 14 | |
| 9 | 2014 | 8 | |
| 10 | 2016 | 2 | |
| 11 | 2025 | 0 |
About Xiaoxu Lin
Xiaoxu Lin is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 192 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Animal Disease Management and Epidemiology (5 papers), Respiratory viral infections research (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Nanoplatforms for cancer theranostics (1 paper), Animal Virus Infections Studies (1 paper), Genomics and Phylogenetic Studies (1 paper) and Oral and Maxillofacial Pathology (1 paper). The work is most often cited by research in Agronomy and Crop Science (68 citations), Infectious Diseases (59 citations), Epidemiology (107 citations), Animal Science and Zoology (21 citations) and Microbiology (11 citations). Xiaoxu Lin has collaborated with scholars based in United States, China and Peru. Frequent co-authors include Richard G. Jarman, Stephen J. Thomas, Robert A. Kuschner, Jun Hang, Nela Zavaljevski, Jason M Blaylock, Ravi Vijaya Satya, Valmik Desai, Luis Javier Martínez-González and Xiu‐Feng Wan. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Scientific Reports, BMC Biology and Journal of General Virology.
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.