Yan Lv

656 citations
26 papers · 431 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases

Papers in

    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Sphingolipid Metabolism and Signaling 2
    • Drug Transport and Resistance Mechanisms 2
    • Cancer Immunotherapy and Biomarkers 2

Yan Lv

23 papers receiving 423 citations

Peers

Yan Lv
Comparison fields: 5 of 84
  • Cancer Research 101
  • Molecular Biology 225
  • Immunology 59
  • Oncology 60
  • Epidemiology 54
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Citations per field
00.5×7.5×
Ding Sun · 1×
Citations per year

Countries citing papers authored by Yan Lv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yan Lv Line = papers co-authored together Yan Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 201845
3 201344
4 202338
5 202334
6 202023
7 201922
8 202117
9 202114
10 202114
11 202110
12 20249
13 20208
14 20226
15 20216
16
Computed tomographic findings of skull base bony changes after radiotherapy for nasopharyngeal carcinoma: implications for local recurrence.
20115
17 20254
18 20223
19 20242
20 20252

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 431 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 (101 citations), Molecular Biology (225 citations), Immunology (59 citations), Oncology (60 citations) and Epidemiology (54 citations). Yan Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haijun Zhang, Haoying Huang, Ling Weng, Qingyun Wei, Meng Cao, Xueting Cai, Wei Qin, Xuan Han, Di Hua and Mengyuan Li. Their work appears in journals such as Frontiers in Oncology, Advances in Applied Energy, Molecular Therapy, International Journal of Gynecology & Obstetrics and European Journal of Medicinal Chemistry.

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.

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