Xiaoling Lv
Impact in
- Virology top 10%
- HIV Research and Treatment
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Animal Virus Infections Studies 8
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- Feng Gao (11 shared papers)Yungang Lan (11 shared papers)Kui Zhao (11 shared papers)Wenqi He (11 shared papers)Huijun Lu (10 shared papers)Zi Li (6 shared papers)Jiyu Guan (6 shared papers)Deguang Song (5 shared papers)
- Journals
- Journal of Virology (3 papers)Virus Genes (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Archives of Virology (2 papers)Virology (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoling Lv
19 papers receiving 377 citations
Peers
Comparison fields: 5 of 50
- Virology 50
- Animal Science and Zoology 105
- Infectious Diseases 126
- Agronomy and Crop Science 51
- Neurology 44
Countries citing papers authored by Xiaoling Lv
This map shows the geographic impact of Xiaoling Lv'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 Xiaoling Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Lv more than expected).
Fields of papers citing papers by Xiaoling Lv
This network shows the impact of papers produced by Xiaoling Lv. 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 Xiaoling Lv. The network helps show where Xiaoling Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Lv, 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 | 2016 | 53 | |
| 2 | 2018 | 47 | |
| 3 | 2017 | 42 | |
| 4 | 2017 | 27 | |
| 5 | 2010 | 26 | |
| 6 | 2010 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2010 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2011 | 8 | |
| 17 | [Comparison of proviral genomes between the Chinese EIAV donkey leukocyte-attenuated vaccine and its parental virulent strain]. | 2008 | 5 |
| 18 | 2019 | 4 | |
| 19 | 2022 | 3 |
About Xiaoling Lv
Xiaoling Lv is a scholar working on Animal Science and Zoology, Genetics, Molecular Biology, Epidemiology and Agronomy and Crop Science, having authored 19 papers that have together received 380 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (7 papers), Animal Disease Management and Epidemiology (4 papers), Viral Infections and Immunology Research (3 papers), MicroRNA in disease regulation (3 papers), HIV Research and Treatment (3 papers), Herpesvirus Infections and Treatments (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Virology (50 citations), Animal Science and Zoology (105 citations), Infectious Diseases (126 citations), Agronomy and Crop Science (51 citations) and Neurology (44 citations). Xiaoling Lv has collaborated with scholars based in China. Frequent co-authors include Feng Gao, Yungang Lan, Kui Zhao, Wenqi He, Huijun Lu, Zi Li, Jiyu Guan, Deguang Song, Ning Ding and Chenggang Jiang. Their work appears in journals such as Journal of Virology, Virus Genes, Frontiers in Cellular and Infection Microbiology, Archives of Virology and 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.