Junpeng Nie

1.2k citations
9 papers · 1.1k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Junpeng Nie

9 papers receiving 1.1k citations

Hit Papers

pH-Sensitive Delivery Vehicle Based on Folic Acid-Conjugated Polydopamine-Modified Mesoporous Silica Nanoparticles for Targeted Cancer Therapy 2017 · 403 citations
4032017202620202023100200300400

Peers

Junpeng Nie
Comparison fields: 5 of 87
  • Biomaterials 619
  • Biomedical Engineering 684
  • Surfaces, Coatings and Films 101
  • Polymers and Plastics 157
  • Pharmaceutical Science 56
Replace Nansha Gao with:
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Junpeng Nie relative to Nansha Gao China Nansha Gao's profile →
Citations per field
00.5×1.5×
Nansha Gao · 1×
Citations per year

Countries citing papers authored by Junpeng Nie

Since Specialization
Citations

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

Fields of papers citing papers by Junpeng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 201940
2 201875
3 2018105
4 201860
5 201750
6 2017287
7
pH-Sensitive Delivery Vehicle Based on Folic Acid-Conjugated Polydopamine-Modified Mesoporous Silica Nanoparticles for Targeted Cancer Therapy
Hit paper breakdown →
2017403
8 20173
9 201771

About Junpeng Nie

Junpeng Nie is a scholar working on Biomaterials, Polymers and Plastics, Biomedical Engineering, Surfaces, Coatings and Films and Molecular Biology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (7 papers), Dendrimers and Hyperbranched Polymers (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Extracellular vesicles in disease (1 paper) and Mesoporous Materials and Catalysis (1 paper). The work is most often cited by research in Biomaterials (619 citations), Biomedical Engineering (684 citations), Surfaces, Coatings and Films (101 citations), Polymers and Plastics (157 citations) and Pharmaceutical Science (56 citations). Junpeng Nie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaowei Zeng, Lin Mei, Chaoyu Liang, Liu Gan, Laiqiang Huang, Wei Cheng, Nansha Gao, Wei Cheng, Teng Wang and Lv Xu. Their work appears in journals such as Advanced Functional Materials, Journal of Colloid and Interface Science, Drug Delivery, Biomaterials Science and Journal of Biomedical Nanotechnology.

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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