Xiaojuan Lin
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Viral gastroenteritis research and epidemiology 27
-
- Viral Infections and Immunology Research 28
- Co-authors
- Zexin Tao (44 shared papers)Aiqiang Xu (41 shared papers)Suting Wang (29 shared papers)Xia Zhao (9 shared papers)Lizhi Song (16 shared papers)Yanyan Song (16 shared papers)Haiyan Wang (18 shared papers)Xiaomin Zhong (4 shared papers)
- Journals
- Archives of Virology (6 papers)Scientific Reports (6 papers)Food and Environmental Virology (4 papers)Virology Journal (4 papers)Medicine (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaojuan Lin
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 355
- Cancer Research 246
- Cardiology and Cardiovascular Medicine 343
- Genetics 108
- Molecular Biology 587
Countries citing papers authored by Xiaojuan Lin
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Lin more than expected).
Fields of papers citing papers by Xiaojuan Lin
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Lin. The network helps show where Xiaojuan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojuan 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
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 140 | |
| 2 | 2008 | 129 | |
| 3 | 2019 | 72 | |
| 4 | 2012 | 60 | |
| 5 | 2016 | 59 | |
| 6 | 2014 | 59 | |
| 7 | 2017 | 48 | |
| 8 | 2014 | 48 | |
| 9 | 2012 | 46 | |
| 10 | 2018 | 45 | |
| 11 | 2012 | 37 | |
| 12 | 2006 | 35 | |
| 13 | 2021 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2014 | 32 | |
| 16 | 2014 | 32 | |
| 17 | 2016 | 30 | |
| 18 | 2020 | 29 | |
| 19 | 2009 | 28 | |
| 20 | 2021 | 25 |
About Xiaojuan Lin
Xiaojuan Lin is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Oncology, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (28 papers), Viral gastroenteritis research and epidemiology (27 papers), Cytomegalovirus and herpesvirus research (8 papers), Respiratory viral infections research (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Animal Virus Infections Studies (6 papers), Animal Disease Management and Epidemiology (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Infectious Diseases (355 citations), Cancer Research (246 citations), Cardiology and Cardiovascular Medicine (343 citations), Genetics (108 citations) and Molecular Biology (587 citations). Xiaojuan Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zexin Tao, Aiqiang Xu, Suting Wang, Xia Zhao, Lizhi Song, Yanyan Song, Haiyan Wang, Xiaomin Zhong, Guifang Liu and Yuquan Wei. Their work appears in journals such as Archives of Virology, Scientific Reports, Food and Environmental Virology, Virology Journal and Medicine.
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.