Jun Quan

1.5k citations
73 papers · 1.2k · h-index 17

Impact in

Papers in

Jun Quan

66 papers receiving 1.1k citations

Peers

Jun Quan
Comparison fields: 5 of 122
  • Cancer Research 203
  • Clinical Biochemistry 47
  • Hepatology 48
  • Materials Chemistry 277
  • Molecular Biology 359
Replace Saskia von Stillfried with:
Saskia von Stillfried Germany
Yunli Zhang China
Yike Li China
Dexin Yu China
Xiaolin Wang China
Chia‐Hsun Hsieh Taiwan
T. Fujii Japan
Huijuan Zhang China
Shanshan Xu China
Yoshihito Takahashi Japan
Jun Quan relative to Saskia von Stillfried Germany Saskia von Stillfried's profile →
Citations per field
00.5×8.3×
Saskia von Stillfried · 1×
Citations per year

Countries citing papers authored by Jun Quan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2020119
3 201977
4 202266
5 201260
6 202057
7 202048
8 202044
9 201440
10 201235
11 202133
12 201830
13 202224
14 201124
15 201823
16 201820
17 202118
18 201715
19 202014
20 201614

About Jun Quan

Jun Quan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Biomedical Engineering and Electronic, Optical and Magnetic Materials, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (10 papers), Quantum and electron transport phenomena (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Electromagnetic Simulation and Numerical Methods (6 papers), Electromagnetic Scattering and Analysis (5 papers), Luminescence Properties of Advanced Materials (5 papers) and Photochemistry and Electron Transfer Studies (5 papers). The work is most often cited by research in Cancer Research (203 citations), Clinical Biochemistry (47 citations), Hepatology (48 citations), Materials Chemistry (277 citations) and Molecular Biology (359 citations). Jun Quan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mengtao Sun, Yinghao Wang, Ling Wang, Xuegong Fan, Xingwang Hu, Zebing Huang, Yi Kong, Zhenguo Liu, Lexi Shao and Xijiao Mu. Their work appears in journals such as Physical Chemistry Chemical Physics, Scientific Reports, Physical Review B, Applied Materials Today and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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