Can Chen

2.4k citations
115 papers · 1.5k · h-index 21

Impact in

Papers in

    • Genomics and Phylogenetic Studies 26
    • Advanced biosensing and bioanalysis techniques 7
    • Microbial Community Ecology and Physiology 16
    • Bacteriophages and microbial interactions 6

Can Chen

111 papers receiving 1.5k citations

Peers

Can Chen
Comparison fields: 5 of 149
  • Computational Mathematics 37
  • Statistical and Nonlinear Physics 197
  • Modeling and Simulation 58
  • Filtration and Separation 26
  • Molecular Biology 783
Replace Philipp Thomas with:
Philipp Thomas United Kingdom
Tiejun Li China
Xinran Xu United States
Stefan Schuster Germany
Ursula Kummer Germany
Qinglin Wang China
Assaf Gottlieb United States
Matthias Reuß Germany
Christophe H. Schilling United States
Xingping Liu China
Can Chen relative to Philipp Thomas United Kingdom Philipp Thomas's profile →
Citations per field
00.5×10×13×
Philipp Thomas · 1×
Citations per year

Countries citing papers authored by Can Chen

Since Specialization
Citations

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

Fields of papers citing papers by Can Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 202062
3 201544
4 200744
5 201543
6 201540
7 202339
8 202136
9 202334
10 202133
11 201433
12 200532
13 202028
14 202228
15 200428
16 201627
17 202227
18 202327
19 201626
20 201724

About Can Chen

Can Chen is a scholar working on Molecular Biology, Ecology, Statistical and Nonlinear Physics, Biotechnology and Pharmacology, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), Microbial Community Ecology and Physiology (16 papers), Nonlinear Waves and Solitons (10 papers), Nonlinear Photonic Systems (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), Tensor decomposition and applications (6 papers), Bacteriophages and microbial interactions (6 papers) and Microbial Natural Products and Biosynthesis (6 papers). The work is most often cited by research in Computational Mathematics (37 citations), Statistical and Nonlinear Physics (197 citations), Modeling and Simulation (58 citations), Filtration and Separation (26 citations) and Molecular Biology (783 citations). Can Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qian Lei, Yi Tao, Yang‐Yu Liu, Bin He, Indika Rajapakse, Weiguo Rui, Xihui Shen, Meiru Si, Zhengrong Liu and Yao Long. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Current Microbiology, Scientific Reports, Analytical Chemistry and Chaos Solitons & Fractals.

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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