Shaojun Peng

3.0k citations
47 papers · 2.4k indexed · 3 hit papers · h-index 27

Impact in

Papers in

Shaojun Peng

46 papers receiving 2.4k citations

Hit Papers

Advances of nanoparticles as drug delivery systems for disease diagnosis and treatment 2022 · 378 citations
3782021202620222024100200300

Peers

Shaojun Peng
Comparison fields: 5 of 113
  • Biomaterials 885
  • Biomedical Engineering 1.5k
  • Pharmaceutical Science 132
  • Molecular Medicine 107
  • Surfaces, Coatings and Films 123
Replace Song Shen with:
Song Shen China
Haijie Han China
Hyewon Ko South Korea
Kaimin Cai United States
Dongfang Zhou China
Jinyan Lin China
Xiao Fu China
Tania Betancourt United States
Seunglee Kwon South Korea
Saji Uthaman South Korea
Shaojun Peng relative to Song Shen China Song Shen's profile →
Citations per field
00.5×1.5×
Song Shen · 1×
Citations per year

Countries citing papers authored by Shaojun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20251
4 20242
5 20247
6 202439
7 202446
8 202412
9 20249
10 202419
11 20244
12 202326
13 202232
14 202231
15 202231
16 202136
17 202169
18 202050
19 201898
20 201846

About Shaojun Peng

Shaojun Peng is a scholar working on Biomaterials, Surfaces, Coatings and Films, Biomedical Engineering, Polymers and Plastics and Immunology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (32 papers), Nanoparticle-Based Drug Delivery (22 papers), Extracellular vesicles in disease (6 papers), Polymer Surface Interaction Studies (6 papers), Dendrimers and Hyperbranched Polymers (5 papers), Advanced Polymer Synthesis and Characterization (5 papers), Immune cells in cancer (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biomaterials (885 citations), Biomedical Engineering (1.5k citations), Pharmaceutical Science (132 citations), Molecular Medicine (107 citations) and Surfaces, Coatings and Films (123 citations). Shaojun Peng has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Huile Gao, Fengfeng Xiao, Meiwan Chen, Ligong Lu, Zhiqing Pang, Wuli Yang, Qin Zhang, Haitao Sun, Rong Cai and Xiaolin Wang. Their work appears in journals such as Acta Pharmaceutica Sinica B, ACS Applied Materials & Interfaces, Chemical Engineering Journal, Advanced Functional Materials and Advanced Science.

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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