Lingyan Yang

2.3k citations
46 papers · 2.0k · h-index 24

Impact in

Papers in

    • Nanoplatforms for cancer theranostics 11
    • Graphene and Nanomaterials Applications 10
    • Luminescence and Fluorescent Materials 4
    • Nanocluster Synthesis and Applications 4

Lingyan Yang

46 papers receiving 1.9k citations

Peers

Lingyan Yang
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 356
  • Biomaterials 263
  • Pollution 209
  • Renewable Energy, Sustainability and the Environment 250
  • Biomedical Engineering 675
Replace Hao Song with:
Hao Song China
Chi‐Shuo Chen Taiwan
Chia‐Chi Ho United States
Xiao Jun Sun China
Cyrill Bussy United Kingdom
Cordula Hirsch Switzerland
Shaojun Liang China
Fengbang Wang China
Dorota Napierska Belgium
Maria Davoren Ireland
Lingyan Yang relative to Hao Song China Hao Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lingyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015218
2 2010156
3 2019155
4 2019139
5 2022138
6 201692
7 201075
8 201664
9 201560
10 201957
11 201154
12 201654
13 201650
14 201949
15 201949
16 201744
17 200941
18 201740
19 202238
20 201537

About Lingyan Yang

Lingyan Yang is a scholar working on Biomedical Engineering, Materials Chemistry, Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Biomaterials, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Graphene and Nanomaterials Applications (10 papers), Extracellular vesicles in disease (6 papers), Toxic Organic Pollutants Impact (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Luminescence and Fluorescent Materials (4 papers), Nanocluster Synthesis and Applications (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (356 citations), Biomaterials (263 citations), Pollution (209 citations), Renewable Energy, Sustainability and the Environment (250 citations) and Biomedical Engineering (675 citations). Lingyan Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xinghui Xia, Guosheng Cheng, Fu Wang, Chia‐Hua Lin, Ying Hao, Yuanxin Zhai, Zhanchi Zhu, Ruimin Liu, Jiantao Yu and Liliang Chen. Their work appears in journals such as ACS Applied Materials & Interfaces, Colloids and Surfaces B Biointerfaces, RSC Advances, Chemosphere and Nanomaterials.

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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