Di Nie

24 total papers · 1.1k total citations
23 papers, 856 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 856 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 Macao. Di Nie's co-authors include Yong Gan, Miaorong Yu, Yiwei Yang, Shiyan Guo, Chunliu Zhu, Ziyue Xi, Wei Zhang, Zhuo Dai, Yunqiu Miao and Xinghua Shi and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Di Nie

22 papers receiving 851 citations

Hit Papers

Direct cytosolic delivery... 2024 2026 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Direct cytosolic delivery of siRNA via cell membrane fusion using cholesterol-enriched exosomes
    2024 61 citations Yan Zhuo, Zhu Zhu et al. Nature Nanotechnology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Di Nie 397 392 385 115 93 23 856
Young-Eun Seo 249 0.6× 341 0.9× 353 0.9× 109 0.9× 61 0.7× 20 785
Yunqiu Miao 374 0.9× 321 0.8× 437 1.1× 64 0.6× 119 1.3× 21 831
Anna Lisa Palange 442 1.1× 433 1.1× 265 0.7× 78 0.7× 81 0.9× 34 895
Duhyeong Hwang 216 0.5× 349 0.9× 299 0.8× 115 1.0× 82 0.9× 25 854
Yayuan Liu 314 0.8× 520 1.3× 582 1.5× 118 1.0× 79 0.8× 27 1.0k
Arianna Gennari 219 0.6× 266 0.7× 299 0.8× 87 0.8× 78 0.8× 25 782
Jacob D. Ramsey 242 0.6× 355 0.9× 234 0.6× 132 1.1× 53 0.6× 19 803
Kyung Eun Lee 362 0.9× 270 0.7× 495 1.3× 58 0.5× 75 0.8× 34 1.0k
Regine Süss 282 0.7× 397 1.0× 515 1.3× 79 0.7× 52 0.6× 50 1.1k
Ludger M. Ickenstein 279 0.7× 395 1.0× 403 1.0× 79 0.7× 52 0.6× 17 782

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

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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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2026