Wei Chen

12.0k citations
264 papers · 10.0k · 1 hit paper · h-index 54

Impact in

Papers in

Wei Chen

254 papers receiving 9.8k citations

Wei Chen's Hit Papers

Molecularly imprinted polymers as receptor mimics for selective cell recognition 2018 · 427 citations
4270+2+5Years since publication100200300400

Peers

Wei Chen
Comparison fields: 5 of 167
  • Analytical Chemistry 1.2k
  • Biomedical Engineering 4.3k
  • Electrochemistry 595
  • Molecular Biology 4.7k
  • Bioengineering 340
Replace Zhouping Wang with:
Zhouping Wang China
Hongbin Pu China
Jeroen Lammertyn Belgium
Yuling Wang China
Lin Wang China
Man Bock Gu South Korea
Zhixian Gao China
Xiaobo Zou China
Tae Jung Park South Korea
Shijia Wu China
Wei Chen relative to Zhouping Wang China Zhouping Wang's profile →
Citations per field
00.5×1.5×1.9×
Zhouping Wang · 1×
Citations per year

Countries citing papers authored by Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 264 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008442
2
Molecularly imprinted polymers as receptor mimics for selective cell recognition
Hit paper breakdown →
2018427
3 2007351
4 2010246
5 2009230
6 2009194
7 2010182
8 2012175
9 2015149
10 2010138
11 2010124
12 2009112
13 2010111
14 2013110
15 2010107
16 2011106
17 2016101
18 200999
19 201298
20 201898

About Wei Chen

Wei Chen is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Analytical Chemistry and Materials Chemistry, having authored 264 papers that have together received 10.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (95 papers), Biosensors and Analytical Detection (90 papers), Electrochemical sensors and biosensors (20 papers), Spectroscopy and Chemometric Analyses (17 papers), Gold and Silver Nanoparticles Synthesis and Applications (17 papers), Identification and Quantification in Food (17 papers), Analytical chemistry methods development (12 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Analytical Chemistry (1.2k citations), Biomedical Engineering (4.3k citations), Electrochemistry (595 citations), Molecular Biology (4.7k citations) and Bioengineering (340 citations). Wei Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuanlai Xu, Nicholas A. Kotov, Yingyue Zhu, Yao Li, Liqiang Liu, Jianguo Xu, Liguang Xu, Lei Zheng, Chifang Peng and Feng Xue. Their work appears in journals such as Biosensors and Bioelectronics, Microchimica Acta, Food Chemistry, Analytical Chemistry and Analytica Chimica Acta.

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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