Qi Lv
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
- Co-authors
- Zhifeng Wei (12 shared papers)Yue Dai (10 shared papers)Simiao Qiao (8 shared papers)Shike Hou (36 shared papers)Haojun Fan (34 shared papers)Lihong Hu (14 shared papers)Fang Hua (5 shared papers)Yinan Zhang (7 shared papers)
- Journals
- Frontiers in Veterinary Science (7 papers)International Immunopharmacology (5 papers)Journal of Medicinal Chemistry (4 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Qi Lv
116 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 138
- Pharmacology 212
- Cancer Research 336
- Immunology 419
- Biological Psychiatry 40
- Molecular Biology 1.0k
Countries citing papers authored by Qi Lv
This map shows the geographic impact of Qi 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 Qi Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Lv more than expected).
Fields of papers citing papers by Qi Lv
This network shows the impact of papers produced by Qi 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 Qi Lv. The network helps show where Qi Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 159 | |
| 2 | 2021 | 154 | |
| 3 | 2012 | 143 | |
| 4 | 2021 | 126 | |
| 5 | 2012 | 112 | |
| 6 | 2018 | 95 | |
| 7 | 2018 | 87 | |
| 8 | 2012 | 84 | |
| 9 | 2018 | 74 | |
| 10 | 2021 | 58 | |
| 11 | 2010 | 56 | |
| 12 | 2022 | 51 | |
| 13 | 2013 | 51 | |
| 14 | 2012 | 49 | |
| 15 | 2015 | 48 | |
| 16 | 2021 | 46 | |
| 17 | 2019 | 46 | |
| 18 | 2018 | 45 | |
| 19 | 2015 | 44 | |
| 20 | 2020 | 43 |
About Qi Lv
Qi Lv is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Oncology, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune cells in cancer (11 papers), Cancer-related molecular mechanisms research (10 papers), Disaster Response and Management (9 papers), Hemostasis and retained surgical items (6 papers), Mesenchymal stem cell research (6 papers), Autophagy in Disease and Therapy (6 papers), Immune Response and Inflammation (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Pharmacology (212 citations), Cancer Research (336 citations), Immunology (419 citations), Biological Psychiatry (40 citations) and Molecular Biology (1.0k citations). Qi Lv has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Zhifeng Wei, Yue Dai, Simiao Qiao, Shike Hou, Haojun Fan, Lihong Hu, Fang Hua, Yinan Zhang, Kai Wang and Yumeng Miao. Their work appears in journals such as Frontiers in Veterinary Science, International Immunopharmacology, Journal of Medicinal Chemistry, Scientific Reports and PLoS ONE.
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.