Peixi Chen

2.0k citations
37 papers · 1.6k · h-index 23

Impact in

Papers in

Peixi Chen

35 papers receiving 1.6k citations

Peers

Peixi Chen
Comparison fields: 5 of 111
  • Biochemistry 216
  • Physiology 441
  • Neurology 138
  • Cellular and Molecular Neuroscience 289
  • Developmental Neuroscience 41
Replace Heather Macarthur with:
Heather Macarthur United States
Philip Tagari Canada
Renato X. Santos Portugal
Beverly A. Rzigalinski United States
Yazhuo Hu China
T. Mittag United States
Seok Choi South Korea
Debashree Mukherjea United States
Elizabeth A. Kowaluk United States
Hung‐Tsung Wu Taiwan
Peixi Chen relative to Heather Macarthur United States Heather Macarthur's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peixi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peixi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007183
2 2006157
3 2011127
4 2013124
5 2005115
6 2011110
7 201396
8 201177
9 200660
10 201748
11 200946
12 201144
13 201240
14 201640
15 201737
16 201630
17 201529
18 201629
19 201526
20 202223

About Peixi Chen

Peixi Chen is a scholar working on Physiology, Materials Chemistry, Molecular Biology, Neurology and Electronic, Optical and Magnetic Materials, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Nanocluster Synthesis and Applications (4 papers), Sulfur Compounds in Biology (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Biochemistry (216 citations), Physiology (441 citations), Neurology (138 citations), Cellular and Molecular Neuroscience (289 citations) and Developmental Neuroscience (41 citations). Peixi Chen has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Jianqiang Feng, Ruixian Guo, Yu Cui, Liqiu Mo, Jun‐Li Zhi, Xinxue Liao, Dongdan Zheng, Chunmei Zhao, Chuntao Yang and Aiping Lan. Their work appears in journals such as Brain Research, PLoS ONE, RSC Advances, Molecular and Cellular Biochemistry and Life Sciences.

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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