Lingyan Lv

1.0k citations
27 papers · 879 · h-index 16

Impact in

    • Nanoparticle-Based Drug Delivery
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Nanoparticle-Based Drug Delivery 8
    • RNA Interference and Gene Delivery 10
    • Pluripotent Stem Cells Research 2
    • Extracellular vesicles in disease 2
    • Advanced biosensing and bioanalysis techniques 2

Lingyan Lv

25 papers receiving 868 citations

Peers

Lingyan Lv
Comparison fields: 5 of 96
  • Biomaterials 384
  • Neurology 94
  • Pharmaceutical Science 55
  • Biomedical Engineering 285
  • Developmental Neuroscience 24
Replace Ann T. Chen with:
Ann T. Chen United States
Alice Gaudin France
Jianpei Xu China
Yibin Wang Australia
Weihong Ji China
Deyu Miao China
Mengyin Jiang China
Xingye Feng China
Shenqi Zhang China
Safwan Alomari United States
Lingyan Lv relative to Ann T. Chen United States Ann T. Chen's profile →
Citations per field
00.5×2×3.1×
Ann T. Chen · 1×
Citations per year

Countries citing papers authored by Lingyan Lv

Since Specialization
Citations

This map shows the geographic impact of Lingyan 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 Lingyan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyan Lv more than expected).

Fields of papers citing papers by Lingyan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingyan 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 Lingyan Lv. The network helps show where Lingyan Lv may publish in the future.

Co-authors

The 25 scholars most cited alongside Lingyan 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 Lingyan Lv Line = papers co-authored together Lingyan Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016147
2 2015120
3 201472
4 201672
5 202271
6 201557
7 202249
8 201942
9 201738
10 202233
11 202232
12 201629
13 202026
14 202321
15 202116
16 201416
17 202213
18 20237
19 20234
20 20154

About Lingyan Lv

Lingyan Lv is a scholar working on Biomaterials, Molecular Biology, Biomedical Engineering, Immunology and Biological Psychiatry, having authored 27 papers that have together received 879 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (5 papers), Pluripotent Stem Cells Research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Reproductive Biology and Fertility (2 papers), Extracellular vesicles in disease (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Biomaterials (384 citations), Neurology (94 citations), Pharmaceutical Science (55 citations), Biomedical Engineering (285 citations) and Developmental Neuroscience (24 citations). Lingyan Lv has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongliang Xin, Wei Lv, Qunwei Xu, Yan Jiang, Yue Zhao, Zhongyuan Wang, Baoyan Wang, Lin Hai Wu, Shengnan Li and Xiuzhen Wang. Their work appears in journals such as Journal of Controlled Release, Scientific Reports, European Heart Journal, Reproductive Sciences and Livestock Science.

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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