Jun Shi

3.1k citations
93 papers · 2.6k · 1 hit paper · h-index 30

Impact in

Papers in

Jun Shi

89 papers receiving 2.5k citations

Jun Shi's Hit Papers

Ligand-accelerated non-directed C–H functionalization of arenes 2017 · 341 citations
3410+3+6Years since publication100200300

Peers

Jun Shi
Comparison fields: 5 of 119
  • Molecular Medicine 372
  • Biomaterials 651
  • Pharmaceutical Science 245
  • Surfaces, Coatings and Films 247
  • Organic Chemistry 729
Replace Zhongxing Zhang with:
Zhongxing Zhang Singapore
Praveen Thoniyot Singapore
Xiping Ni Singapore
Peng Liao China
L. H. Gan Singapore
Bakhshali Massoumi Iran
William L. A. Brooks United States
Guolin Wu China
Xubo Zhao China
Jun Shi relative to Zhongxing Zhang Singapore Zhongxing Zhang's profile →
Citations per field
00.5×1.5×
Zhongxing Zhang · 1×
Citations per year

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ligand-accelerated non-directed C–H functionalization of arenes
Hit paper breakdown →
2017341
2 2006134
3 2015126
4 2017117
5 2007108
6 201780
7 202170
8 201963
9 201955
10 200753
11 201452
12 200051
13 202150
14 201346
15 201345
16 201545
17 201543
18 201642
19 201741
20 202239

About Jun Shi

Jun Shi is a scholar working on Biomedical Engineering, Biomaterials, Molecular Medicine, Materials Chemistry and Surfaces, Coatings and Films, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (21 papers), Nanoplatforms for cancer theranostics (17 papers), Polymer Surface Interaction Studies (14 papers), biodegradable polymer synthesis and properties (13 papers), Nanoparticle-Based Drug Delivery (11 papers), Photorefractive and Nonlinear Optics (10 papers), Advanced Photocatalysis Techniques (9 papers) and Advanced Drug Delivery Systems (9 papers). The work is most often cited by research in Molecular Medicine (372 citations), Biomaterials (651 citations), Pharmaceutical Science (245 citations), Surfaces, Coatings and Films (247 citations) and Organic Chemistry (729 citations). Jun Shi has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Shaokui Cao, João F. Mano, Natália M. Alves, Jingguo Li, Peter T. W. Cheng, Jin‐Quan Yu, Zheng Zhang, Yang Liu, Guoqin Xia and Michael A. Poss. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Applied Polymer Science, Materials Science and Engineering C, Journal of Materials Science and Reactive and Functional Polymers.

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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