Lin Lv
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- interferon and immune responses
Papers in
-
- RNA modifications and cancer 8
- Circular RNAs in diseases 4
- RNA Interference and Gene Delivery 3
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
- Co-authors
- Shengtao Liao (9 shared papers)Li Gan (3 shared papers)Li Chai (3 shared papers)Yuanyuan Wang (2 shared papers)Mutian Jia (2 shared papers)Chunyuan Zhao (2 shared papers)Wei Zhao (2 shared papers)Qiu-Zhong Pan (6 shared papers)
- Journals
- PLoS ONE (3 papers)European Journal of Medicinal Chemistry (3 papers)Heliyon (2 papers)Non-coding RNA Research (2 papers)Molecular Carcinogenesis (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lin Lv
80 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 537
- Immunology 440
- Molecular Biology 1.2k
- Oncology 253
- Nephrology 59
Countries citing papers authored by Lin Lv
This map shows the geographic impact of Lin 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 Lin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lv more than expected).
Fields of papers citing papers by Lin Lv
This network shows the impact of papers produced by Lin 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 Lin Lv. The network helps show where Lin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 333 | |
| 2 | 2016 | 134 | |
| 3 | C-MYC-induced upregulation of lncRNA SNHG12 regulates cell proliferation, apoptosis and migration in triple-negative breast cancer. | 2017 | 120 |
| 4 | 2014 | 95 | |
| 5 | 2012 | 91 | |
| 6 | 2019 | 63 | |
| 7 | 2014 | 60 | |
| 8 | 2014 | 57 | |
| 9 | 2013 | 56 | |
| 10 | 2015 | 54 | |
| 11 | 2020 | 53 | |
| 12 | 2023 | 48 | |
| 13 | 2013 | 45 | |
| 14 | 2016 | 43 | |
| 15 | 2002 | 40 | |
| 16 | 2014 | 39 | |
| 17 | 2016 | 39 | |
| 18 | 2019 | 37 | |
| 19 | 2018 | 35 | |
| 20 | 2019 | 35 |
About Lin Lv
Lin Lv is a scholar working on Molecular Biology, Cancer Research, Immunology, Electrical and Electronic Engineering and Epidemiology, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers), Advanced battery technologies research (6 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), Supercapacitor Materials and Fabrication (4 papers), RNA Interference and Gene Delivery (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (537 citations), Immunology (440 citations), Molecular Biology (1.2k citations), Oncology (253 citations) and Nephrology (59 citations). Lin Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengtao Liao, Li Gan, Li Chai, Yuanyuan Wang, Mutian Jia, Chunyuan Zhao, Wei Zhao, Qiu-Zhong Pan, Danhui Qin and Wenwen Wang. Their work appears in journals such as PLoS ONE, European Journal of Medicinal Chemistry, Heliyon, Non-coding RNA Research and Molecular Carcinogenesis.
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.