Xiaolong Chen

1.0k citations
35 papers · 836 · h-index 19

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 16
    • CRISPR and Genetic Engineering 16
    • RNA Interference and Gene Delivery 4
    • Biosensors and Analytical Detection 3

Xiaolong Chen

33 papers receiving 831 citations

Peers

Xiaolong Chen
Comparison fields: 5 of 88
  • Molecular Biology 595
  • Business and International Management 17
  • Electrochemistry 49
  • Biomedical Engineering 236
  • Aquatic Science 28
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Kevin J. Greenlees United States
Zhuo Hao China
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Md Sohel Ahommed China
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Citations per field
00.5×4.1×
Fen Wan · 1×
Citations per year

Countries citing papers authored by Xiaolong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 202259
3 202157
4 202054
5 202042
6 202039
7 202236
8 202135
9 202035
10 202233
11 202031
12 202030
13 202130
14 202129
15 202224
16 202320
17 201719
18 202019
19 202118
20 202217

About Xiaolong Chen

Xiaolong Chen is a scholar working on Molecular Biology, Biomedical Engineering, Polymers and Plastics, Materials Chemistry and Plant Science, having authored 35 papers that have together received 836 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), CRISPR and Genetic Engineering (16 papers), RNA Interference and Gene Delivery (4 papers), Biosensors and Analytical Detection (3 papers), Electrochemical Analysis and Applications (3 papers), Nanocluster Synthesis and Applications (2 papers), Dendrimers and Hyperbranched Polymers (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Molecular Biology (595 citations), Business and International Management (17 citations), Electrochemistry (49 citations), Biomedical Engineering (236 citations) and Aquatic Science (28 citations). Xiaolong Chen has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Danqun Huo, Changjun Hou, Gaihua Cao, Mei Yang, Xianfeng Wang, Faliang Xu, Yawen Wu, Zhong Ji, Xiaogang Luo and Yifan Xiong. Their work appears in journals such as Analytica Chimica Acta, Sensors and Actuators B Chemical, Talanta, Applied Microbiology and Biotechnology and International Journal of Low-Carbon Technologies.

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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