Min Lv
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Epidemiology top 5%
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
- Hepatitis B Virus Studies
- Respiratory viral infections research
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 31
- Influenza Virus Research Studies 16
- Pneumonia and Respiratory Infections 10
- Respiratory viral infections research 6
- Hepatitis B Virus Studies 3
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- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
- Co-authors
- Jiang Wu (32 shared papers)Shuang Bai (13 shared papers)Pei Gao (6 shared papers)Weixin Chen (13 shared papers)Qianli Yuan (5 shared papers)Fei Zhao (4 shared papers)Jianzhong Zhang (4 shared papers)Yufeng Xiao (1 shared paper)
- Journals
- Vaccine (6 papers)Human Vaccines & Immunotherapeutics (6 papers)International Journal of Infectious Diseases (3 papers)Journal of Magnetic Resonance Imaging (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Min Lv
58 papers receiving 924 citations
Peers
Comparison fields: 5 of 83
- Microbiology 119
- Epidemiology 575
- Hepatology 101
- Health 78
- Modeling and Simulation 38
Countries citing papers authored by Min Lv
This map shows the geographic impact of Min 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 Min Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lv more than expected).
Fields of papers citing papers by Min Lv
This network shows the impact of papers produced by Min 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 Min Lv. The network helps show where Min Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 174 | |
| 2 | 2012 | 114 | |
| 3 | 2016 | 79 | |
| 4 | 2009 | 57 | |
| 5 | 2011 | 53 | |
| 6 | 2022 | 48 | |
| 7 | 2014 | 41 | |
| 8 | 2012 | 29 | |
| 9 | 2022 | 26 | |
| 10 | 2006 | 25 | |
| 11 | 2012 | 24 | |
| 12 | 2010 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2013 | 18 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 10 |
About Min Lv
Min Lv is a scholar working on Epidemiology, Infectious Diseases, Pathology and Forensic Medicine, Microbiology and Hepatology, having authored 58 papers that have together received 934 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Pneumonia and Respiratory Infections (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Respiratory viral infections research (6 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), COVID-19 Clinical Research Studies (4 papers), Hepatitis B Virus Studies (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Microbiology (119 citations), Epidemiology (575 citations), Hepatology (101 citations), Health (78 citations) and Modeling and Simulation (38 citations). Min Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiang Wu, Shuang Bai, Pei Gao, Weixin Chen, Qianli Yuan, Fei Zhao, Jianzhong Zhang, Yufeng Xiao, Xiaoxia Tao and Zheng Xie. Their work appears in journals such as Vaccine, Human Vaccines & Immunotherapeutics, International Journal of Infectious Diseases, Journal of Magnetic Resonance Imaging and BMC Infectious Diseases.
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.