Jin Lv
Impact in
-
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 5
- Acute Ischemic Stroke Management 4
- Fungal Infections and Studies 3
- Respiratory viral infections research 3
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- Immune Response and Inflammation 3
- Co-authors
- Yun-e Liu (7 shared papers)Chen Li (5 shared papers)Huai Yuan (4 shared papers)Ao Liu (4 shared papers)Weijian Jiang (5 shared papers)Kai Ma (1 shared paper)Jing Yan (1 shared paper)Jinming Chen (1 shared paper)
- Journals
- BMC Infectious Diseases (2 papers)Optics Express (2 papers)Clinical Neurology and Neurosurgery (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Journal of Stroke and Cerebrovascular Diseases (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jin Lv
40 papers receiving 435 citations
Peers
Comparison fields: 5 of 89
- Neurology 45
- Health Informatics 7
- Epidemiology 99
- Obstetrics and Gynecology 21
- Hepatology 17
Countries citing papers authored by Jin Lv
This map shows the geographic impact of Jin 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 Jin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Lv more than expected).
Fields of papers citing papers by Jin Lv
This network shows the impact of papers produced by Jin 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 Jin Lv. The network helps show where Jin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2018 | 33 | |
| 3 | 2021 | 29 | |
| 4 | 2019 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2014 | 22 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2011 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2018 | 9 |
About Jin Lv
Jin Lv is a scholar working on Epidemiology, Immunology, Computer Vision and Pattern Recognition, Media Technology and Cancer Research, having authored 45 papers that have together received 445 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Acute Ischemic Stroke Management (4 papers), Fungal Infections and Studies (3 papers), Vehicle License Plate Recognition (3 papers), Respiratory viral infections research (3 papers), Immune Response and Inflammation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Neurology (45 citations), Health Informatics (7 citations), Epidemiology (99 citations), Obstetrics and Gynecology (21 citations) and Hepatology (17 citations). Jin Lv has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yun-e Liu, Chen Li, Huai Yuan, Ao Liu, Weijian Jiang, Kai Ma, Jing Yan, Jinming Chen, Weijian Jiang and Wei Liu. Their work appears in journals such as BMC Infectious Diseases, Optics Express, Clinical Neurology and Neurosurgery, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Stroke and Cerebrovascular 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.