Meng Sun

1.2k citations
49 papers · 976 · h-index 19

Impact in

    • Analytical chemistry methods development
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies
    • 3D Printing in Biomedical Research

Papers in

Meng Sun

48 papers receiving 966 citations

Peers

Meng Sun
Comparison fields: 5 of 96
  • Analytical Chemistry 174
  • Biomedical Engineering 470
  • Electrochemistry 59
  • Bioengineering 53
  • Spectroscopy 112
Replace David S.M. Ribeiro with:
David S.M. Ribeiro Portugal
Ming‐Mu Hsieh Taiwan
Miao Chen China
Reine Nehmé France
Yi Cai China
Jianfeng Wu China
Zhong‐Xiu Chen China
Bishnu P. Regmi United States
Yukihiro Esaka Japan
Nanyan Zhang United States
Meng Sun relative to David S.M. Ribeiro Portugal David S.M. Ribeiro's profile →
Citations per field
00.5×1.7×
David S.M. Ribeiro · 1×
Citations per year

Countries citing papers authored by Meng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Meng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 201075
3 202072
4 201350
5 201347
6 201242
7 201037
8 201434
9 201434
10 202232
11 202128
12 201924
13 201324
14 202222
15 201322
16 201322
17 201820
18 202219
19 201419
20 200617

About Meng Sun

Meng Sun is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Analytical Chemistry and Plant Science, having authored 49 papers that have together received 976 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers), Electrowetting and Microfluidic Technologies (10 papers), Electrochemical sensors and biosensors (8 papers), Analytical chemistry methods development (8 papers), Analytical Chemistry and Sensors (5 papers), Advanced Polymer Synthesis and Characterization (4 papers) and Phytochemicals and Antioxidant Activities (4 papers). The work is most often cited by research in Analytical Chemistry (174 citations), Biomedical Engineering (470 citations), Electrochemistry (59 citations), Bioengineering (53 citations) and Spectroscopy (112 citations). Meng Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Siva A. Vanapalli, Swastika S. Bithi, Qun Fang, Qiuhua Wu, Wenbin Du, Chun Wang, Xiaoxing Ma, Shuqing Gu, Ying Zhu and Zeina S. Khan. Their work appears in journals such as Analytical Methods, Foods, Analytical Chemistry, Journal of Dispersion Science and Technology and Lab on a Chip.

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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