Na Yin

3.8k citations
102 papers · 3.0k · h-index 34

Impact in

    • Advanced Cellulose Research Studies
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
    • Nanoplatforms for cancer theranostics

Papers in

Na Yin

100 papers receiving 2.9k citations

Peers

Na Yin
Comparison fields: 5 of 141
  • Biomaterials 730
  • Biomedical Engineering 975
  • Developmental Neuroscience 79
  • Neurology 142
  • Genetics 177
Replace Zhiping Li with:
Zhiping Li China
Dandan Luo China
Jun Huang China
Xiaojie Lin China
Jie Gao China
Shanshan Ma China
Lixin Liu China
Giuseppe Bardi Italy
Christoph E. Hagemeyer Australia
Na Yin relative to Zhiping Li China Zhiping Li's profile →
Citations per field
00.5×1.5×2.4×
Zhiping Li · 1×
Citations per year

Countries citing papers authored by Na Yin

Since Specialization
Citations

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

Fields of papers citing papers by Na Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 2018140
3 2017136
4 2019101
5 201491
6 202286
7 202283
8 202178
9 202173
10 202072
11 202168
12 201268
13 201466
14 201765
15 201165
16 201963
17 202263
18 201160
19 201156
20 201154

About Na Yin

Na Yin is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (21 papers), Nanoparticle-Based Drug Delivery (11 papers), Advanced Cellulose Research Studies (11 papers), Advanced Nanomaterials in Catalysis (10 papers), Extracellular vesicles in disease (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Glioma Diagnosis and Treatment (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biomaterials (730 citations), Biomedical Engineering (975 citations), Developmental Neuroscience (79 citations), Neurology (142 citations) and Genetics (177 citations). Na Yin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Huaping Wang, Jinjin Shi, Yinghui Wang, Shiyan Chen, Junjie Liu, Kaixiang Zhang, Hongjie Zhang, Tianqi Zhang, Longhai Jin and HU Wei-li. Their work appears in journals such as Advanced Functional Materials, Nano Letters, Carbohydrate Polymers, Frontiers in Oncology and PLoS ONE.

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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