I‐Cheng Chen

55 papers receiving 1.2k citations

Peers

I‐Cheng Chen
Comparison fields: 5 of 127
  • Cellular and Molecular Neuroscience 185
  • Materials Chemistry 416
  • Electronic, Optical and Magnetic Materials 164
  • Neurology 100
  • Anesthesiology and Pain Medicine 30
Replace Teng‐Fei Li with:
Teng‐Fei Li China
Yuepeng Liu China
Jiansong Sheng China
Núria Fernández Spain
Luis Monge Spain
Fabao Gao China
Hsueh-Hsiao Wang Taiwan
Yuan Luo China
Akitoshi Seiyama Japan
I‐Cheng Chen relative to Teng‐Fei Li China Teng‐Fei Li's profile →
Citations per field
00.5×3.5×
Teng‐Fei Li · 1×
Citations per year

Countries citing papers authored by I‐Cheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003376
2 201176
3 201361
4 201438
5 201437
6 201636
7 201136
8 201335
9 201834
10 200933
11 201229
12 201329
13 200728
14 200927
15 201823
16 201623
17 201622
18 201022
19 201920
20 200919

About I‐Cheng Chen

I‐Cheng Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Ocean Engineering and Pharmacology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Mitochondrial Function and Pathology (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Atmospheric Ozone and Climate (4 papers), Spectroscopy and Laser Applications (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Enhanced Oil Recovery Techniques (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (185 citations), Materials Chemistry (416 citations), Electronic, Optical and Magnetic Materials (164 citations), Neurology (100 citations) and Anesthesiology and Pain Medicine (30 citations). I‐Cheng Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lin I, K.S. Liu, Hui–Ming Cheng, Chun‐Jen Huang, Mustafa Akbulut, Chiung‐Mei Chen, Guey‐Jen Lee‐Chen, Yih‐Ru Wu, Kuo‐Hsuan Chang and Chih‐Ying Chao. Their work appears in journals such as Journal of Neural Transmission, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Industrial & Engineering Chemistry Research, PLoS ONE and Oxidative Medicine and Cellular Longevity.

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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