Pu Deng

869 citations
21 papers · 743 · 1 hit paper · h-index 8

Impact in

Papers in

Pu Deng

19 papers receiving 734 citations

Pu Deng's Hit Papers

Efficient delivery of genome-editing proteins using bioreducible lipid nanoparticles 2016 · 540 citations
5400+3+6Years since publication100200300400500

Peers

Pu Deng
Comparison fields: 5 of 84
  • Business and International Management 37
  • Molecular Biology 585
  • Biomaterials 94
  • Aging 12
  • Genetics 116
Replace Nicholas A. Rossi with:
Nicholas A. Rossi Canada
Liman Cong Japan
Olivia J. Scheideler United States
Yaoying Wu United States
Harini Nagaraj United States
Brian M. Lamb United States
Kholod Alamoudi Saudi Arabia
Chongyi Liu China
Jessica A. Kretzmann Australia
Liming Wang China
Pu Deng relative to Nicholas A. Rossi Canada Nicholas A. Rossi's profile →
Citations per field
00.5×5.8×
Nicholas A. Rossi · 1×
Citations per year

Countries citing papers authored by Pu Deng

Since Specialization
Citations

This map shows the geographic impact of Pu 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 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 Deng more than expected).

Fields of papers citing papers by Pu Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pu 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 Deng Line = papers co-authored together Pu 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 →
2016540
2 201757
3 201943
4 201820
5 201818
6 201613
7 201912
8 201111
9 20106
10 20225
11 20204
12 20124
13 20142
14 20122
15 20152
16 20131
17 20191
18 20151
19 20111
20 20240

About Pu Deng

Pu Deng is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Environmental Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 21 papers that have together received 743 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (5 papers), Microbial Fuel Cells and Bioremediation (5 papers), RNA Interference and Gene Delivery (4 papers), Color Science and Applications (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Luminescence and Fluorescent Materials (2 papers), Molecular Sensors and Ion Detection (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Business and International Management (37 citations), Molecular Biology (585 citations), Biomaterials (94 citations), Aging (12 citations) and Genetics (116 citations). Pu Deng has collaborated with scholars based in China and United States. Frequent co-authors include Qiaobing Xu, Ming Wang, Irene Georgakoudi, Dimitra Pouli, Shuo Sun, Fantao Meng, Qi Wu, John A. Zuris, Yong Han and Holly A. Rees. Their work appears in journals such as Nano Letters, CrystEngComm, Journal of Materials Chemistry B, Chemical Communications and Small Methods.

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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