Chunli Chen

3.8k citations
162 papers · 2.8k · h-index 30

Impact in

Papers in

Chunli Chen

144 papers receiving 2.8k citations

Peers

Chunli Chen
Comparison fields: 5 of 165
  • Statistical and Nonlinear Physics 486
  • Microbiology 154
  • Neurology 249
  • Modeling and Simulation 72
  • Molecular Medicine 69
Replace S. Tanaka with:
S. Tanaka Japan
Hiroyuki Nakano Japan
Ralph Nossal United States
Masaaki Yoshida Japan
Stuart Smith United Kingdom
David C. Samuels United States
П. О. Федичев Russia
Laurent Michel France
K. Nakamura Japan
Wenxia Li China
Chunli Chen relative to S. Tanaka Japan S. Tanaka's profile →
Citations per field
00.5×10×20×34.5×
S. Tanaka · 1×
Citations per year

Countries citing papers authored by Chunli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chunli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016196
2 2019117
3 201088
4 201786
5 201979
6 201079
7 201476
8 200274
9 200269
10 201364
11 201751
12 202151
13 202047
14 201745
15 201245
16 201644
17 202042
18 202042
19 201940
20 201340

About Chunli Chen

Chunli Chen is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Microbiology, Epidemiology and Neurology, having authored 162 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (18 papers), Nonlinear Photonic Systems (15 papers), Microbial infections and disease research (10 papers), Laser-Plasma Interactions and Diagnostics (8 papers), Advanced Mathematical Physics Problems (7 papers), Laser-induced spectroscopy and plasma (7 papers), Toxoplasma gondii Research Studies (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (486 citations), Microbiology (154 citations), Neurology (249 citations), Modeling and Simulation (72 citations) and Molecular Medicine (69 citations). Chunli Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sen‐Yue Lou, Zhiping Hu, Jichang Li, Xiaoyan Tang, Muhammad Ishfaq, Haiping Zheng, Jie Zhang, Zhiyong Wu, Peiquan Zhao and Yishen Li. Their work appears in journals such as Physical Review Letters, BMC Ophthalmology, Oxidative Medicine and Cellular Longevity, Retina and European Journal of Clinical Pharmacology.

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.

Explore authors with similar magnitude of impact