Pu Jun Deng

21 papers receiving 775 citations

Pu Jun Deng's Hit Papers

Efficient delivery of genome-editing proteins using bioreducible lipid nanoparticles 2016 · 579 citations
5790+3+6Years since publication100200300400500

Peers

Pu Jun Deng
Comparison fields: 5 of 63
  • Biomaterials 179
  • Bioengineering 21
  • Molecular Biology 536
  • Environmental Engineering 48
  • Pharmaceutical Science 19
Replace Sabrina S. Jedlicka with:
Sabrina S. Jedlicka United States
Thomas D. Young United States
Erin M. McConnell Canada
Jung-Chih Chen Taiwan
Marta Martin France
Yifan Liu China
Chang‐Seuk Lee South Korea
Maite Mujika Spain
Kyle A. Alberti United States
Victor Baldim Brazil
Pu Jun Deng relative to Sabrina S. Jedlicka United States Sabrina S. Jedlicka's profile →
Citations per field
00.5×5×11.4×
Sabrina S. Jedlicka · 1×
Citations per year

Countries citing papers authored by Pu Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Pu Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu Jun Deng. 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 Pu Jun Deng. The network helps show where Pu Jun Deng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient delivery of genome-editing proteins using bioreducible lipid nanoparticles
Hit paper breakdown →
2016579
2 201759
3 201945
4 201822
5 201618
6 201818
7 201913
8 201111
9 20227
10 20106
11 20124
12 20204
13 20122
14 20142
15 20152
16 20242
17 20111
18 20131
19 20151
20 20191

About Pu Jun Deng

Pu Jun Deng is a scholar working on Environmental Engineering, Mechanics of Materials, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Inorganic Chemistry, having authored 21 papers that have together received 799 indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (5 papers), Material Properties and Processing (4 papers), Color Science and Applications (4 papers), Nanomaterials and Printing Technologies (4 papers), RNA Interference and Gene Delivery (3 papers), Luminescence and Fluorescent Materials (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Biomaterials (179 citations), Bioengineering (21 citations), Molecular Biology (536 citations), Environmental Engineering (48 citations) and Pharmaceutical Science (19 citations). Pu Jun Deng has collaborated with scholars based in China and United States. Frequent co-authors include Qiaobing Xu, Ming Wang, Irene Georgakoudi, Shuo Sun, Dimitra Pouli, David R. Liu, John A. Zuris, Holly A. Rees, Yong Han and Xue Gao. Their work appears in journals such as Nano Letters, Journal of Controlled Release, ACS Applied Materials & Interfaces, CrystEngComm and ACS Applied Bio Materials.

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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