Yan Lv
Impact in
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- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- Sphingolipid Metabolism and Signaling 2
- Oncology 4
- Drug Transport and Resistance Mechanisms 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Haijun Zhang (2 shared papers)Qingyun Wei (3 shared papers)Xueting Cai (3 shared papers)Meng Cao (3 shared papers)Haoying Huang (3 shared papers)Ling Weng (3 shared papers)Xuan Han (2 shared papers)Wei Qin (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)ESMO Open (1 paper)Journal of Medicinal Chemistry (1 paper)Neurocomputing (1 paper)Journal of Applied Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Lv
23 papers receiving 419 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 100
- Molecular Biology 223
- Immunology 59
- Oncology 60
- Epidemiology 53
Countries citing papers authored by Yan Lv
This map shows the geographic impact of Yan 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 Yan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Lv more than expected).
Fields of papers citing papers by Yan Lv
This network shows the impact of papers produced by Yan 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 Yan Lv. The network helps show where Yan Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2018 | 45 | |
| 3 | 2013 | 43 | |
| 4 | 2023 | 38 | |
| 5 | 2023 | 33 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 6 | |
| 16 | Computed tomographic findings of skull base bony changes after radiotherapy for nasopharyngeal carcinoma: implications for local recurrence. | 2011 | 5 |
| 17 | 2025 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Yan Lv
Yan Lv is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Hepatology, having authored 26 papers that have together received 426 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (100 citations), Molecular Biology (223 citations), Immunology (59 citations), Oncology (60 citations) and Epidemiology (53 citations). Yan Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haijun Zhang, Qingyun Wei, Xueting Cai, Meng Cao, Haoying Huang, Ling Weng, Xuan Han, Wei Qin, Mengyuan Li and Di Hua. Their work appears in journals such as Frontiers in Oncology, ESMO Open, Journal of Medicinal Chemistry, Neurocomputing and Journal of Applied Microbiology.
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.