Lina Yi
Impact in
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 13
- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 5
- Epidemiology 23
- Respiratory viral infections research 12
- Influenza Virus Research Studies 7
- Mycobacterium research and diagnosis 6
- Co-authors
- Jing Lu (28 shared papers)Ming‐Liang He (8 shared papers)Hsiang‐Fu Kung (7 shared papers)Changwen Ke (22 shared papers)Min Kang (9 shared papers)Lirong Zou (12 shared papers)Lijun Liang (11 shared papers)Xiaohua Tan (5 shared papers)
In The Last Decade
Lina Yi
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 659
- Agronomy and Crop Science 322
- Cardiology and Cardiovascular Medicine 514
- Epidemiology 454
- Immunology 175
Countries citing papers authored by Lina Yi
This map shows the geographic impact of Lina Yi'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 Lina Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Yi more than expected).
Fields of papers citing papers by Lina Yi
This network shows the impact of papers produced by Lina Yi. 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 Lina Yi. The network helps show where Lina Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lina Yi, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 129 | |
| 2 | 2020 | 117 | |
| 3 | 2011 | 93 | |
| 4 | 2014 | 70 | |
| 5 | 2011 | 56 | |
| 6 | 2016 | 54 | |
| 7 | 2015 | 54 | |
| 8 | 2010 | 51 | |
| 9 | 2019 | 33 | |
| 10 | 2014 | 33 | |
| 11 | 2013 | 32 | |
| 12 | 2014 | 32 | |
| 13 | 2020 | 27 | |
| 14 | 2013 | 27 | |
| 15 | 2018 | 24 | |
| 16 | 2019 | 24 | |
| 17 | 2013 | 23 | |
| 18 | 2015 | 23 | |
| 19 | 2017 | 21 | |
| 20 | 2015 | 21 |
About Lina Yi
Lina Yi is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Molecular Biology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (19 papers), Animal Disease Management and Epidemiology (16 papers), Viral gastroenteritis research and epidemiology (13 papers), Respiratory viral infections research (12 papers), Influenza Virus Research Studies (7 papers), Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Infectious Diseases (659 citations), Agronomy and Crop Science (322 citations), Cardiology and Cardiovascular Medicine (514 citations), Epidemiology (454 citations) and Immunology (175 citations). Lina Yi has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Jing Lu, Ming‐Liang He, Hsiang‐Fu Kung, Changwen Ke, Min Kang, Lirong Zou, Lijun Liang, Xiaohua Tan, Huanying Zheng and Jin Zhao. Their work appears in journals such as Scientific Reports, Virology Journal, Journal of Virology, PLoS ONE and Applied and Environmental Microbiology.
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.