Junfeng Shi

3.0k citations
19 papers · 937 · h-index 14

Impact in

Papers in

    • Microfluidic and Bio-sensing Technologies 8
    • Advanced biosensing and bioanalysis techniques 3
    • Extracellular vesicles in disease 3
    • RNA Interference and Gene Delivery 2

Junfeng Shi

18 papers receiving 929 citations

Peers

Junfeng Shi
Comparison fields: 5 of 96
  • Biotechnology 186
  • Biomedical Engineering 469
  • Biomaterials 97
  • Cancer Research 103
  • Cellular and Molecular Neuroscience 116
Replace Chi‐Ling Chiang with:
Chi‐Ling Chiang United States
Ly James Lee United States
Alan Tin‐Lun Lam Singapore
Laure Gibot France
Si‐Yuan Peng China
Caleb Jensen United States
Thomas Wirth Finland
Yusuke Oda Japan
Yoko Endo‐Takahashi Japan
Jieun Han South Korea
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Citations per field
00.5×1.6×
Chi‐Ling Chiang · 1×
Citations per year

Countries citing papers authored by Junfeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018187
2 2017125
3 201788
4 201687
5 201583
6 201666
7 201744
8 202043
9 201740
10 201938
11 201638
12 201536
13 201823
14 201918
15 201610
16 20157
17 20253
18 20161
19 20250

About Junfeng Shi

Junfeng Shi is a scholar working on Biomedical Engineering, Molecular Biology, Biotechnology, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 19 papers that have together received 937 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (8 papers), Microbial Inactivation Methods (5 papers), Neuroscience and Neural Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biotechnology (186 citations), Biomedical Engineering (469 citations), Biomaterials (97 citations), Cancer Research (103 citations) and Cellular and Molecular Neuroscience (116 citations). Junfeng Shi has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Sheng Yan, Jiaming Hu, Zhaogang Yang, Bohao Yu, Lingqian Chang, Ly James Lee, L. James Lee, Kwang Joo Kwak, Daniel Gallego‐Perez and Wu Lu. Their work appears in journals such as Lab on a Chip, Small, Acta Astronautica, Current Drug Metabolism and Nature Communications.

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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