Yan Lv
Impact in
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- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- Wnt/β-catenin signaling in development and cancer
Papers in
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- Wnt/β-catenin signaling in development and cancer 2
- Sphingolipid Metabolism and Signaling 2
- Cancer-related gene regulation 2
- Kruppel-like factors research 2
- Co-authors
- Haijun Zhang (2 shared papers)Meng Cao (3 shared papers)Ling Weng (3 shared papers)Qingyun Wei (3 shared papers)Haoying Huang (3 shared papers)Xueting Cai (3 shared papers)Peng Cao (2 shared papers)Xuan Han (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Molecular Therapy (1 paper)European Journal of Medicinal Chemistry (1 paper)BMC Biology (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Lv
22 papers receiving 382 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 114
- Molecular Biology 236
- Immunology 65
- Oncology 74
- Hepatology 15
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2018 | 45 | |
| 3 | 2013 | 43 | |
| 4 | 2023 | 36 | |
| 5 | 2023 | 27 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 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 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Yan Lv
Yan Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Epidemiology, having authored 24 papers that have together received 392 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Cancer-related gene regulation (2 papers), Immune cells in cancer (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Cancer Research (114 citations), Molecular Biology (236 citations), Immunology (65 citations), Oncology (74 citations) and Hepatology (15 citations). Yan Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haijun Zhang, Meng Cao, Ling Weng, Qingyun Wei, Haoying Huang, Xueting Cai, Peng Cao, Xuan Han, Wei Qin and Di Hua. Their work appears in journals such as Frontiers in Oncology, Molecular Therapy, European Journal of Medicinal Chemistry, BMC Biology and Annals of Palliative Medicine.
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.