Di Nie

1.2k total citations · 1 hit paper
23 papers, 885 citations indexed

About

Di Nie is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Di Nie has authored 23 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomaterials, 8 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Di Nie's work include Nanoparticle-Based Drug Delivery (11 papers), Nanoplatforms for cancer theranostics (6 papers) and RNA Interference and Gene Delivery (5 papers). Di Nie is often cited by papers focused on Nanoparticle-Based Drug Delivery (11 papers), Nanoplatforms for cancer theranostics (6 papers) and RNA Interference and Gene Delivery (5 papers). Di Nie collaborates with scholars based in China, United States and South Korea. Di Nie's co-authors include Yong Gan, Miaorong Yu, Yiwei Yang, Shiyan Guo, Chunliu Zhu, Ziyue Xi, Zhuo Dai, Wei Zhang, Yunqiu Miao and Kun Qian and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Di Nie

22 papers receiving 879 citations

Hit Papers

Direct cytosolic delivery of siRNA via cell membrane fusi... 2024 2026 2025 2024 20 40 60

Peers

Di Nie
Comparison fields: 5 of 92
  • Biomedical Engineering 401
  • Biomaterials 400
  • Molecular Biology 399
  • Pharmaceutical Science 118
  • Immunology 95
Replace Yunqiu Miao with:
Yunqiu Miao China
Yayuan Liu China
David A. Eavarone United States
Mohamadreza Amin Netherlands
Ayelet David Israel
Yaohua Wei China
Wayne Ngo Canada
Dalit Landesman‐Milo Israel
Danni Ran China
Julio M. Rios De La Rosa United Kingdom
Yunqiu Miao China View profile →
Citations per field, relative to Di Nie
Di Nie · 1×
Citations per year, relative to Di Nie
Di Nie · 1×

Countries citing papers authored by Di Nie

Since Specialization
Citations

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

Fields of papers citing papers by Di Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Di Nie. A scholar is included among the top collaborators of Di Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Di Nie. Di Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3
Direct cytosolic delivery of siRNA via cell membrane fusion using cholesterol-enriched exosomes breakdown →
70
4 41
5 20
6 2
7 5
8 56
9 34
10 114
11 37
12 15
13 29
14 2
15 16
16 37
17 53
18 81
19 188
20 53

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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