Sigeng Chen

24 papers receiving 708 citations

Peers

Sigeng Chen
Comparison fields: 5 of 90
  • Biological Psychiatry 30
  • Electronic, Optical and Magnetic Materials 145
  • Cellular and Molecular Neuroscience 140
  • Developmental Neuroscience 27
  • Materials Chemistry 257
Replace Weida Shen with:
Weida Shen China
Xueru Shi China
Roger Prades Spain
B. Ruthrotha Selvi India
Diane Latawiec United Kingdom
Tiago Moreira Portugal
Jing Di United States
Yongjun Sun China
Qingyin Zheng China
S. Yoshida Japan
Sigeng Chen relative to Weida Shen China Weida Shen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sigeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sigeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010222
2 2007105
3 202374
4 200863
5 202142
6 202331
7 202330
8 202130
9 202128
10 201223
11 202321
12 202013
13 20148
14 20115
15 20085
16 20123
17 20083
18 20113
19 20242
20 19982

About Sigeng Chen

Sigeng Chen is a scholar working on Materials Chemistry, Molecular Biology, Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 25 papers that have together received 718 indexed citations. Recurring topics across this work include Advancements in Solid Oxide Fuel Cells (9 papers), Electronic and Structural Properties of Oxides (7 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Pesticide Exposure and Toxicity (2 papers), Machine Learning and Algorithms (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Electronic, Optical and Magnetic Materials (145 citations), Cellular and Molecular Neuroscience (140 citations), Developmental Neuroscience (27 citations) and Materials Chemistry (257 citations). Sigeng Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David B. Edelman, Geoffrey C. Owens, Helen P. Makarenkova, Chuangang Yao, Kedi Cai, Haixia Zhang, Kathryn L. Crossin, Xiaoshi Lang, Jian Meng and Jixing Yang. Their work appears in journals such as PLoS ONE, Ceramics International, Journal of Pharmacology and Experimental Therapeutics, Journal of Visualized Experiments and ACS Sustainable Chemistry & Engineering.

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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