Lin Lv

2.7k citations
84 papers · 2.1k · h-index 29

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 5%
    • interferon and immune responses

Papers in

    • RNA modifications and cancer 12
    • Circular RNAs in diseases 7
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 4
    • Cancer-related molecular mechanisms research 13
    • MicroRNA in disease regulation 9

Lin Lv

78 papers receiving 2.1k citations

Peers

Lin Lv
Comparison fields: 5 of 107
  • Cancer Research 608
  • Immunology 465
  • Molecular Biology 1.3k
  • Oncology 280
  • Nephrology 68
Replace Yunshan Wang with:
Yunshan Wang China
Hamid Kashkar Germany
Haihua Luo China
Bing Yang China
Sandrine Jouan-Lanhouet France
Jia Hu China
Yinghua Li China
Amanda O’Neill Ireland
Qiuju Han China
Lin Lv relative to Yunshan Wang China Yunshan Wang's profile →
Citations per field
00.5×1.5×2.0×
Yunshan Wang · 1×
Citations per year

Countries citing papers authored by Lin Lv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020318
2 2016132
3
C-MYC-induced upregulation of lncRNA SNHG12 regulates cell proliferation, apoptosis and migration in triple-negative breast cancer.
2017120
4 201493
5 201291
6 201963
7 201460
8 201456
9 201356
10 201554
11 202052
12 202345
13 201344
14 201642
15 200240
16 201638
17 201438
18 201937
19 201935
20 201833

About Lin Lv

Lin Lv is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Electrical and Electronic Engineering, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), Advanced battery technologies research (5 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers) and Supercapacitor Materials and Fabrication (4 papers). The work is most often cited by research in Cancer Research (608 citations), Immunology (465 citations), Molecular Biology (1.3k citations), Oncology (280 citations) and Nephrology (68 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, Qiu-Zhong Pan, Yuanyuan Wang, Danhui Qin, Chunyuan Zhao, Ke Pan, Wei Zhao and Mutian Jia. Their work appears in journals such as European Journal of Medicinal Chemistry, PLoS ONE, Journal of Cellular Physiology, Molecular Carcinogenesis and Non-coding RNA Research.

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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